Statistical models: Theory and practice

Statistical Models: Theory and Practice

Volumn , Issue , 2009, Pages 1-442

  Freedman, David A ^a  

^a NONE

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EID: 84924448123     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1017/CBO9780511815867     Document Type: Book

References (257)

1. Abbott A (1997). Of time and space: The contemporary relevance of the Chicago school. Social Forces 75: 1149–82.
2. Abbott A (1998). The causal devolution. Sociological Methods and Research 27: 148–81.
3. Abelson RP (1995). Statistics as Principled Argument. Lawrence Erlbaum Associates, Hillsdale, NJ.
4. Achen CH (1977). Measuring representation: Perils of the correlation coefficient. American Journal of Political Science 21: 805–15.
5. Achen CH (1982). Interpreting and Using Regression. Sage Publications.
6. Achen CH (1986). The Statistical Analysis of Quasi-Experiments. University of California Press, Berkeley.
7. Achen C (2002). Toward a new political methodology: Microfoundations and ART. Annual Review of Political Science 5: 423–50.
8. Adcock R, Collier D (2001). Measurement validity: Ashared standard for qualitative and quantitative research. American Political Science Review 95: 529–46.
9. Alba RD, Logan JR (1993). Minority proximity to whites in suburbs: An individual-level analysis of segregation. American Journal of Sociology 98: 1388–1427.
10. Alberts B, Bray D, Lewis J, Raff M, Roberts K and Watson JD (1994). Molecular Biology of the Cell, 3rd. ed., Garland Publishing, NewYork. 5th ed. (2007).
11. Altonji JG, Elder TE, Taber CR (2005). An evaluation of instrumental variable strategies for estimating the effects of Catholic schools. The Journal of Human Resources XL: 791–821.
12. Anderson TW (1959). On asymptotic distributions of estimates of parameters of stochastic difference equations. Annals of Mathematical Statistics 30: 676–87.
13. Angrist JD, Krueger AB (2001). Instrumental variables and the search for identification: From supply and demand to natural experiments. Journal of Economic Perspectives 15: 69–85.
14. Ansolabehere S, Konisky DM (2006). Introduction of voter registration and its effect on turnout. Political Analysis 14: 83–100.
15. Arceneaux K, Gerber AS, Green DP (2006). Comparing experimental and matching methods using a large-scale voter mobilization experiment. Political Analysis 14: 37–62.
16. Austin PC, Mamdani MM, Juurlink DN, Hux JE (2006). Testing multiple statistical hypotheses resulted in spurious associations:A study of astrological signs and health. Journal of Clinical Epidemiology 59: 964–69.
17. Banerjee KS (1975). Weighing Designs for Chemistry, Medicine, Economics, Operations Research, Statistics. Dekker, NewYork.
18. Barndorff-Nielsen O (1980). Exponential families. Memoir #5, Department of Theoretical Statistics, Aarhus. Reprinted in S Kotz, CB Read, N Balakrishnan, BVidakovic, eds. (2005). Encyclopedia of Statistical Sciences. 2nd. ed.Wiley- Interscience, Hoboken, NJ.
19. Bartels LM (1991). Instrumental and “quasi-instrumental” variables. American Journal of Political Science 35: 777–800.
20. Beck N (2001). Time-series cross-section data: What have we learned in the past few years? Annual Review of Political Science 4: 271–93.
21. Beck N, Katz JN (1995). What to do (and not to do) with time-series crosssection data. American Political Science Review 89: 634–47.
22. Benjamini Y and Hochberg Y (1995). Controlling the false discovery rate. Journal of the Royal Statistical Society Series B 57: 289–300.
23. Berk RA (2004). Regression Analysis: A Constructive Critique. Sage Publications.
24. Berk RA, Freedman DA (2003). Statistical assumptions as empirical commitments. In TG Blomberg and S Cohen, eds.Law, Punishment, and Social Control: Essays in Honor of Sheldon Messinger. 2nd ed. Aldine de Gruyter, NewYork, pp. 235–54.
25. Berk RA, Freedman DA (2008). On weighting regressions by propensity scores. Evaluation Review 32: 392–409.
26. Berkson J (1955). The statistical study of association between smoking and lung cancer. Proceedings of the Mayo Clinic 30: 319–48.
27. Bernert C (1983). The career of causal analysis in American sociology. British Journal of Sociology 34: 230–54.
28. Bernheim B, Shleifer A, Summers LH (1985). The strategic bequest motive. Journal of Political Economy 93: 1045–1076.
29. Blalock HM (1989). The real and unrealized contributions of quantitative sociology. American Sociological Review 54: 447–60.
30. Blau PM, Duncan OD (1967). The American Occupational Structure. Wiley. Reissued by the Free Press (1978). Data collection described on page 13, coding of status on pages 115–27, coding of education on pages 165–66, correlations and path diagram on pages 169–70.
31. Bound J, Jaeger DA, Baker RM (1995). Problems with instrumental variables estimation when the correlation between the instruments and endogenous variables is weak. Journal of the American Statistical Association 90: 443–50.
32. Brady HE, Collier D, eds. (2004). Rethinking Social Inquiry: Diverse Tools, Shared Standards. Rowman & Littlefield Publishers, Inc., Lanham, Maryland.
33. Brady HE, Collier D, Seawright J (2004). Refocusing the discussion of methodology. In Brady and Collier (2004), pp. 3–20.
34. Briggs DC (2004). Causal inference and the Heckman model. Journal of Educational and Behavioral Statistics 29: 397–420.
35. Cameron JM, Croarkin MC, Raybold RC (1977). Designs for the Calibration of Standards of Mass. National Bureau of Standards Technical Note 952.
36. Carpenter KJ (1981). Pellagra. Academic Press.
37. Carpenter KJ (2000). Beriberi, White Rice, and Vitamin B. University of California Press.
38. Clarke R, Armitage J (2002). Antioxidant vitamins and risk of cardiovascular disease. Review of large-scale randomised trials. Cardiovascular Drugs and Therapy 16: 411–15.
39. Clogg CC, Haritou A (1997). The regression method of causal inference and a dilemma confronting this method. InVR McKim and SP Turner, eds. Causality in Crisis? University of Notre Dame Press, pp. 83–112.
40. Coleman JS, Hoffer T (1987). Public and Private High Schools: The Impact of Communities. Basic Books, NewYork.
41. Coleman JS, Hoffer T, Kilgore S (1982). High School Achievement: Public, Catholic, and Private Schools Compared. Basic Books, NewYork.
42. Colwell RR (1996). Global climate and infectious disease: The cholera paradigm. Science 274: 2025–31.
43. Cook NR, Albert CM, Gaziano JM et al (2007). A randomized factorial trial of vitamins C and E and Beta Carotene in the secondary prevention of cardiovascular events in women: Results from theWomen’s Antioxidant Cardiovascular Study. Archives of Internal Medicine 167: 1610–18.
44. Cook TD, Campbell DT (1979). Quasi-Experimentation: Design & Analysis Issues for Field Settings. Rand McNally, Chicago.
45. Cornfield J, Haenszel W, Hammond EC, Lilienfeld AM, Shimkin MB, Wynder EL (1959). Smoking and lung cancer: Recent evidence and a discussion of some questions. Journal of the National Cancer Institute 22: 173–203.
46. Desrosières A (1993). La politique des grands nombres: Histoire de la raison statistique. Editions La Découverte, Paris. English translation by C Naish (1998), Harvard University Press.
47. Dewald WG, Thursby JG, Anderson RG (1986). Replication in empirical economics: The Journal of Money, Credit and Banking Project. American Economic Review 76: 587–603.
48. Diaconis P (1998). A place for philosophy? The rise of modeling in statistics. Quarterly Journal of Applied Mathematics 56: 797–805.
49. Diaconis P, Freedman DA (1998). Consistency of Bayes estimates for nonparametric regression: Normal theory. Bernoulli Journal, 4: 411–44.
50. Dijkstra TK, ed. (1988). On Model Uncertainty and its Statistical Implications. Lecture Notes in Economics and Mathematical Systems, No. 307, Springer.
51. Dorn HF (1950). Pitfalls in population forecasts and projections. Journal of the American Statistical Association 45: 311–34.
52. Doss H, Sethuraman J (1989). The price of bias reduction when there is no unbiased estimate. Annals of Statistics 17: 440–42.
53. Dubos R (1988). Pasteur and Modern Science. Springer.
54. Duncan OD (1984). Notes on Social Measurement. Russell Sage, New York.
55. Dunning T (2008). Model specification in instrumental-variables regression. Political Analysis 16: 290–302.
56. Eaton ML, Freedman DA (2004). Dutch book against some “objective” priors. Bernoulli Journal 10: 861–72.
57. EC/IC Bypass Study Group (1985). Failure of extracranial-intracranial arterial bypass to reduce the risk of ischemic stroke: Results of international randomized trial. New England Journal of Medicine 313: 1191–1200. For commentary, see Sundt (1987).
58. Ehrenberg ASC, Bound JA (1993). Predictability and prediction. Journal of the Royal Statistical Society Series A 156: 167–206 (with discussion).
59. Engle RF, Hendry DF, Richard JF (1983). Exogeneity. Econometrica 51: 277–304.
60. Evans AS (1993). Causation and Disease: A Chronological Journey. Plenum, New York.
61. Evans RJ (1987). Death in Hamburg: Society and Politics in the Cholera Years, 1830–1910. Oxford University Press.
62. Evans SN, Stark PB (2002). Inverse problems as statistics. Inverse Problems 18: R1–43.
63. Evans WN, Schwab RM (1995). Finishing high school and starting college: Do Catholic schools make a difference? Quarterly Journal of Economics 110: 941–74.
64. Fearon J (1991). Counterfactuals and hypothesis testing in political science. World Politics 43: 169–95.
65. Feller W (1940). On the logistic law of growth and its empirical verifications in biology. Acta Biotheoretica 5: 51–66.
66. Feller W (1971). An Introduction to Probability Theory and its Applications. Vol. II, 2nd ed., Wiley, New York.
67. Fisher RA (1959). Smoking: The Cancer Controversy. Oliver and Boyd, Edinburgh.
68. Fleming A, ed. (1946). Penicillin: Its Practical Application. Butterworth & Co., London.
69. Freedman DA (1981). Bootstrapping regression models. Annals of Statistics 9: 1218–28.
70. Freedman DA (1983). A note on screening regression equations. American Statistician 37: 152–55.
71. Freedman DA (1984). On bootstrapping two-stage least squares estimates in stationary linear models. Annals of Statistics 12: 827–42.
72. Freedman DA (1985). Statistics and the scientific method. In WM Mason and SE Fienberg, eds. Cohort Analysis in Social Research: Beyond the Identification Problem. Springer, pp. 343–90 (with discussion).
73. Freedman DA (1987). As others see us: A case study in path analysis. Journal of Educational Statistics 12: 101–223 (with discussion). Reprinted in J Shaffer, ed. (1992). The Role of Models in Nonexperimental Social Science, American Educational Research Association and American Statistical Association, Washington, DC, pp. 3–125.
74. Freedman DA (1991). Statistical models and shoe leather. In P Marsden, ed., Sociological Methodology 1991. American Sociological Association, Washington, DC, chapter 10 (with discussion).
75. Freedman DA (1995). Some issues in the foundation of statistics. Foundations of Science 1: 19–83 (with discussion). Reprinted in BC van Fraassen, ed. (1997). Topics in the Foundation of Statistics, Kluwer, Dordrecht, pp. 19–83.
76. Freedman DA (1997). From association to causation via regression. In VR McKim and SP Turner, eds. Causality in Crisis? University of Notre Dame Press, pp. 113–82 (with discussion). Reprinted in Advances in Applied Mathematics (1997) 18: 59–110.
77. Freedman DA (1999). From association to causation: Some remarks on the history of statistics. Statistical Science 14: 243–58. Reprinted in Journal de la Société Franҫaise de Statistique (1999) 140: 5–32 and in J Panaretos, ed (2003). Stochastic Musings: Perspectives from the Pioneers of the Late 20th Century. Lawrence Erlbaum Associates, Hillsdale, NJ, pp. 45–71.
78. Freedman DA (2004). Graphical models for causation, and the identification problem. Evaluation Review 28: 267–93. Reprinted in DWK Andrews and JH Stock, eds. (2005). Identification and Inference for Econometric Models: Essays in Honor of Thomas Rothenberg. Cambridge University Press.
79. Freedman DA (2005). Linear statistical models for causation: A critical review. In BS Everitt and DC Howell, eds. Encyclopedia of Statistics in Behavioral Science. Wiley, Chichester, UK.
80. Freedman DA (2006a). On the so-called ‘Huber Sandwich Estimator’ and ‘robust standard errors.’ The American Statistician 60: 299–302.
81. Freedman DA (2006b). Statistical models for causation: What inferential leverage do they provide? Evaluation Review 30: 691–713.
82. Freedman DA (2008a). On regression adjustments in experiments with several treatments. Annals of Applied Statistics 2: 176–96.
83. Freedman DA (2008b). Survival analysis: A primer. The American Statistician 62: 110–19.
84. Freedman DA (2008c). Randomization does not justify logistic regression. Statistical Science, 23: 237–249.
85. Freedman DA (2008d). Diagnostics cannot have much power against general alternatives. To appear in Journal of Forecasting. http://www.stat.berkeley.edu/users/census/nopower.pdf
86. Freedman DA, Lane D (1981). Mathematical Methods in Statistics. WW Norton, New York.
87. Freedman DA, Peters SC (1984a). Bootstrapping a regression equation: Some empirical results. Journal of the American Statistical Association 79: 97–106.
88. Freedman DA, Peters SC (1984b). Bootstrapping an econometric model: Some empirical results. Journal of Business and Economic Statistics 2: 150–58.
89. Freedman DA, Peters SC (1984c). Some notes on the bootstrap in regression problems. Journal of Business and Economic Statistics 2: 406–9.
90. Freedman DA, Peters SC (1985). Using the bootstrap to evaluate forecasting equations. Journal of Forecasting 4: 251–62.
91. Freedman DA, Petitti DB, Robins JM (2004). On the efficacy of screening for breast cancer. International Journal of Epidemiology 33: 43–73 (with discussion). Correspondence, pp. 1404–6.
92. Freedman DA, Pisani R, Purves RA (2007). Statistics. 4th ed. WW Norton, New York.
93. Freedman DA, Rothenberg T, Sutch R (1983). On energy policy models. Journal of Business and Economic Statistics 1: 24–36 (with discussion).
94. Freedman DA, Sekhon J (2008). Endogeneity in probit models. http://www.stat.berkeley.edu/users/census/heckprob.pdf
95. Freedman DA, Stark PB (2003). What is the probability of an earthquake? In F Mulargia and RJ Geller, eds. Earthquake Science and Seismic Risk Reduction. NATO Science Series IV: Earth and Environmental Sciences, vol. 32, Kluwer, Dordrecht, The Netherlands, pp. 201–13.
96. Garrett G (1998). Partisan Politics in the Global Economy. Cambridge University Press.
97. Gauss CF (1809). Theoria Motus Corporum Coelestium. Perthes et Besser, Hamburg. Reprinted by Dover, NewYork (1963).
98. George AL, Bennett A (2005). Case Studies and Theory Development in the Social Sciences. MIT Press.
99. Geronimus AT, Korenman S (1993). The socioeconomic costs of teenage childbearing: Evidence and interpretation. Demography 30: 281–90.
100. Gibson JL (1988). Political intolerance and political repression during the Mc- Carthy red scare. American Political Science Review 82: 511–29. Heinz Eulau Award from theAmerican Political ScienceAssociation, as best paper published in 1988 in the American Political Science Review.
101. Gigerenzer G (1996). On narrow norms and vague heuristics. Psychological Review 103: 592–96.
102. Gilens M (2001). Political ignorance and collective policy preferences. American Political Science Review 95: 379–96.
103. Glazerman S, Levy DM, Myers D (2003). Nonexperimental versus experimental estimates of earnings impacts. Annals of the American Academy of Political and Social Science 589: 63–93.
104. Goldsmith ML (1946). The Road to Penicillin: A History of Chemotherapy. Drummond, London.
105. Goldthorpe JH (1999). Causation, Statistics and Sociology.Twenty-ninth Geary Lecture, Nuffield College, Oxford. Published by the Economic and Social Research Institute, Dublin, Ireland.
106. Goldthorpe JH (2000). On Sociology: Numbers, Narratives, and Integration of Research and Theory. Oxford University Press.
107. Goldthorpe JH (2001). Causation, statistics, and sociology. European Sociological Review 17: 1–20.
108. Gordis L (2004). Epidemiology. 3rd ed. Elsevier Saunders, Philadelphia.
109. Green DP, Shapiro I (1994). Pathologies of Rational Choice Theory: A Critique of Applications in Political Science. Yale University Press.
110. Grodstein F, Stampfer MJ, Manson JE et al (1996). Post menopausal estrogen and progestin use and the risk of cardiovascular disease. New England Journal of Medicine 335: 453–61.
111. Grogger J (1995). The effect of arrests on the employment and earnings of young men. Quarterly Journal of Economics 110: 51–71.
112. Hajnal J (1955). The prospects for population forecasts. Journal of the American Statistical Association 50: 309–22.
113. Hare R (1970). The Birth of Penicillin and the Disarming of Microbes. Allen & Unwin, London.
114. Hart HLA, Honoré AM (1985). Causation in the Law. 2nd ed. Oxford University Press.
115. Heckman JJ (1976). The common structure of statistical models of truncation, sample selection and limited dependent variables and a simple estimator for such models. Annals of Economic and Social Measurement 5: 475–92.
116. Heckman JJ (1978). Dummy endogenous variables in a simultaneous equation system. Econometrica 46: 931–59.
117. Heckman JJ (1979). Sample selection bias as a specification error. Econometrica 47: 153–61.
118. Heckman JJ (2000). Causal parameters and policy analysis in economics: A twentieth century retrospective. The Quarterly Journal of Economics 115: 45–97.
119. Hedström P, Swedberg R, eds. (1998). Social Mechanisms. Cambridge University Press.
120. Hendry DF (1980). Econometrics—alchemy or science? Economica 47: 387–406. Reprinted as chapter 1 in DF Hendry (2000). Econometrics—Alchemy or Science? Blackwell, Oxford.
121. Henschke CI, Yankelevitz DF, Libby DM et al (2006). The International Early Lung Cancer Action Program Investigators. Survival of patients with stage I lung cancer detected on CT screening. New England Journal of Medicine 355: 1763–71.
122. Hercberg S et al (2004). The SU.VI.MAX study: A randomized, placebocontrolled trial of the health effects of antioxidant vitamins and minerals. Archives of Internal Medicine 164: 2335–42.
123. Hodges JL, Lehmann E (1964). Basic Concepts of Probability and Statistics. Holden-Day, San Francisco. 2nd ed. reprinted by SIAM, Philadelphia (2005).
124. Hofferth SL (1984). A comment on “social determinants of age at first birth.” Journal of Marriage and the Family 46: 7–8.
125. Hofferth SL, Moore KA (1979). Early childbearing and later economic wellbeing. American Sociology Review 44: 784–815.
126. Hofferth SL, Moore KA (1980). Factors affecting early family formation: A path model. Population and Environment 3: 73–98.
127. Hoffman SD, Foster EM, Furstenberg FF (1993). Reevaluating the costs of teenage childbearing. Demography 30: 1–13. Discussion, 281–96.
128. Holland PW (1986). Statistics and causal inference. Journal of the American Statistical Association 8: 945–70 (with discussion).
129. Holland PW (1988). Causal inference, path analysis, and recursive structural equation models. In C Clogg, ed. Sociological Methodology 1988, American Sociological Association, Washington, DC, chapter 13.
130. Hoover KD (2008). Causality in economics and econometrics. In S Durlauf and LEBlume, eds. The NewPalgrave Dictionary of Economics. 2nd ed. Macmillan.
131. Hosmer DW, Lemeshow S (2000). Applied Logistic Regression. 2nd ed.Wiley.
132. Hotelling H (1927). Differential equations subject to error, and population estimates. Journal of the American Statistical Association 22: 283–314.
133. Howard-Jones N (1975). The Scientific Background of the International Sanitary Conferences 1851–1938.World Health Organization, Geneva.
134. Hubbard R, Vetter DE, Little EL (1998). Replication in strategic management: Scientific testing for validity, generalizability, and usefulness. Strategic Management Journal 19: 243–54.
135. Humphreys P, Freedman DA (1996). The grand leap. British Journal for the Philosophy of Science 47: 113–23.
136. Humphreys P, Freedman DA (1999). Are there algorithms that discover causal structure? Synthese 121: 29–54.
137. Hurwicz L (1950). Least-squares bias in time series. In TC Koopmans, ed. Statistical Inference in Dynamical Economic Models.Wiley, NewYork, pp. 365–83; also see p. 272.
138. IARC (1986). Tobacco Smoking. International Agency for Research on Cancer, Monograph 38, Lyon. Distributed by Oxford University Press.
139. Ioannidis JPA (2005). Contradicted and initially stronger effects in highly cited clinical research. Journal of the American Medical Association 294: 218–28.
140. Jacobs D, Carmichael JT (2002). The political sociology of the death penalty. American Sociological Review 67: 109–31. The quote, slightly edited, is from note 7, p. 117. The model is given on p. 116, although some of the details are unclear.
141. Jencks C, Phillips M, eds. (1998). The Black-White Test Score Gap. Brookings Institution Press, Washington, D.C.
142. Kahneman D, Slovic P, Tversky A, eds. (1982). Judgment under Uncertainty: Heuristics and Biases. Cambridge University Press.
143. Kahneman D, Tversky A (1974). Judgment under uncertainty: Heuristics and bias. Science 185: 1124–31.
144. Kahneman D, Tversky A (1996). On the reality of cognitive illusions. Psychological Review 103: 582–91.
145. Kahneman D, Tversky A, eds. (2000). Choices, Values, and Frames. Cambridge University Press.
146. Keefe FJ, Affleck G, Lefebvre J, Underwood L, Caldwell DS, Drew J, Egert J, Gibson J, Pargament K (2001). Living with rheumatoid arthritis: The role of daily spirituality and daily religious and spiritual coping. The Journal of Pain 2: 101–10.
147. Keynes JM (1939). Professor Tinbergen’s method. The Economic Journal 49: 558–68.
148. Keynes JM (1940). Comment [on Tinbergen’s reply]. The Economic Journal 50: 154–56.
149. King G, Keohane RO, Verba S (1994). Designing Social Inquiry: Scientific Inference in Qualitative Research. Princeton University Press.
150. Klein LR (1951). Estimating patterns of savings behavior from sample survey data. Econometrica 19: 438–54.
151. Kunz R, Oxman AD (1998). The unpredictability paradox: Review of empirical comparisons of randomised and non-randomised clinical trials. British Medical Journal 317: 1185–90.
152. Labrie F et al (2004). Screening decreases prostate cancer mortality: 11-year follow-up of the 1988 Quebec prospective randomized controlled trial. Prostate 59: 311–18.
153. Larzalere RE, Kuhn BR, Johnson B (2004). The intervention selection bias: An underrecognized confound in intervention research. Psychological Bulletin 130: 289–303.
154. Last JM (2001). A Dictionary of Epidemiology. 4th ed. Oxford University Press.
155. Lawless JF (2003). Statistical Models and Methods for Lifetime Data. 2nd ed. Wiley-Interscience.
156. Lawlor DA, Smith GD, Bruckdorfer KR et al (2004). Those confounded vitamins: What can we learn from the differences between observational vs randomised trial evidence. Lancet 363: 1724–27.
157. Leamer EE (1978). Specification Searches. Wiley.
158. Legendre AM (1805). Nouvelles méthodes pour la détermination des orbites des comètes. Courcier, Paris. Reprinted by Dover, New York (1959).
159. Lehmann EL (1991a). Testing Statistical Hypotheses. 2nd ed. Wadsworth & Brooks/Cole. 3rd ed., with JP Romano, Springer (2005).
160. Lehmann EL (1991b). Theory of Point Estimation. Wadsworth & Brooks/Cole. 2nd ed., with G Casella, Springer (2003).
161. Lehmann EL (2004). Elements of Large-Sample Theory. Springer.
162. Lehmann EL (2006). Nonparametrics. 2nd ed., with HJM d’Abrera, Springer.
163. Lieberson S (1985). Making it Count. University of California Press, Berkeley.
164. Lieberson S, Lynn FB (2002). Barking up the wrong branch: Alternatives to the current model of sociological science. Annual Review of Sociology 28: 1–19.
165. Liu TC (1960). Under-identification, structural estimation, and forecasting. Econometrica 28: 855–65.
166. Lomborg B (2001). The Skeptical Environmentalist: Measuring the Real State of the World. Cambridge University Press.
167. Lord, F (1953). On the statistical treatment of football numbers. American Psychologist 8: 750-51.
168. Loudon I. (2000). The Tragedy of Childbed Fever. Oxford University Press.
169. Lucas RE. (1976). Econometric policy evaluation: A critique. In K Brunner and A Meltzer, eds. The Phillips Curve and Labor Markets, vol. 1 of the Carnegie-Rochester Conferences on Public Policy, supplementary series to the Journal of Monetary Economics, North-Holland, Amsterdam, pp. 19–64 (with discussion).
170. Lu-Yao G, Yao S-L (1997). Population-based study of long-term survival in patients with clinically localised prostate cancer. Lancet 349: 906–10.
171. Mackie J (1974). The Cement of the Universe. Oxford University Press. Revised in 1980, reprinted in 2002.
172. Mahoney J, Rueschemeyer D (2003). Comparative Historical Analysis in the Social Sciences. Cambridge University Press.
173. Malthus TR (1798). An Essay on the Principle of Population. London, printed for J. Johnson, in St. Paul’s Church-Yard.
174. Mamaros D, Sacerdote B (2006). How do friendships form? Quarterly Journal of Economics 121: 79–119.
175. Manski CF (1995). Identification Problems in the Social Sciences. Harvard University Press.
176. McKim VR, Turner SP, eds. (1997). Causality in Crisis? Proceedings of the Notre Dame Conference on Causality. University of Notre Dame Press.
177. Meehl PE (1954). Clinical versus Statistical Prediction: A Theoretical Analysis and a Review of the Evidence. University of Minnesota Press, Minneapolis.
178. Meehl PE (1978). Theoretical risks and tabular asterisks: Sir Karl, Sir Ronald, and the slow progress of soft psychology. Journal of Consulting and Clinical Psychology 46: 806–34.
179. Meehl PE, Waller NG (2002). The path analysis controversy: A new statistical approach to strong appraisal of verisimilitude. Psychological Methods 7: 283–337 (with discussion).
180. Mill JS (1843). A System of Logic, Ratiocinative and Inductive. Longmans, Green, Reader, and Dyer, London. 7th ed (1868).
181. Miller ER III et al (2005). Meta-analysis: High-dosage vitamin E supplementation may increase all-cause mortality. Annals of Internal Medicine 142: 37–46.
182. Nelson RR, Winter SG (1982). An Evolutionary Theory of Economic Change. Harvard University Press.
183. Neyman J (1923). Sur les applications de la théorie des probabilités aux experiences agricoles: Essai des principes. Roczniki Nauk Rolniczych 10: 1–51, in Polish. English translation by DM Dabrowska and TP Speed (1990), Statistical Science 5: 465–80 (with discussion).
184. Ní Bhrolcháin M (2001). “Divorce effects” and causality in the social sciences. European Sociological Review 17: 33–57.
185. Oakes MW (1990). Statistical Inference. Epidemiology Resources, Inc. Chestnut Hill, MA.
186. Oakland GB (1950).Anapplication of sequential analysis to whitefish sampling. Biometrics 6: 59–67.
187. Pate AM, Hamilton EE (1992). Formal and informal deterrents to domestic violence: The Dade county spouse assault experiment. American Sociological Review 57: 691–97.
188. Pearl J (1995). Causal diagrams for empirical research. Biometrika 82: 669–710 (with discussion).
189. Pearl J (2000). Causality: Models, Reasoning, and Inference. Cambridge University Press.
190. Pearl R, Reed LJ (1920). On the rate of growth of the population of the United States since 1790 and its mathematical representation. Proceedings of the National Academy of Science 6: 275–88.
191. Pearson K (1911). The Grammar of Science. 3rd ed. Adam and Charles Black, London.
192. Pearson K, Lee A (1903). On the laws of inheritance in man. Biometrika 2: 357–462. They give the joint distribution, with heights rounded to the nearest inch.We added uniform noise to get continuous data.
193. Perneger, TV (1998). What’s wrong with Bonferroni adjustments? British Medical Journal 316 1236–38.
194. Petitti DB (1994). Coronary heart disease and estrogen replacement therapy. Can compliance bias explain the results of observational studies? Annals of Epidemiology 4: 115–18.
195. Petitti DB (1998). Hormone replacement therapy and heart disease prevention: Experimentation trumps observation. Journal of the American Medical Association 280: 650–52.
196. Petitti DB (2002). Hormone replacement therapy for prevention. Journal of the American Medical Association 288: 99–101.
197. Pilkey OH, Pilkey-Jarvis L (2006). Useless Arithmetic. Columbia University Press.
198. Pisano E et al (2005). Diagnostic performance of digital versus film mammography for breast-cancer screening. New England Journal of Medicine 353: 1773–83.
199. Platt J (1996). A History of Sociological Research Methods in America. Cambridge University Press.
200. Powers DE, Rock DA (1999). Effect of coaching on SAT I: Reasoning test scores. Journal of Educational Measurement 36: 93–118.
201. Pratt JW, Schlaifer R (1984). On the nature and discovery of structure. Journal of the American Statistical Association 79: 9–33 (with discussion).
202. Pratt JW, Schlaifer R (1988). On the interpretation and observation of laws. Journal of Econometrics 39: 23–52.
203. Quetelet A (1835). Sur l’homme et le développement de ses facultés, ou Essai de physique sociale. Bachelier, Paris. English translation by R Knox (1842), Chambers, Edinburgh. Reprinted by Burt Franklin, NewYork (1968).
204. Rao CR (1973). Linear Statistical Inference and its Applications. 2nd ed.Wiley. Chapter 6 discusses likelihood techniques.
205. Raufman JP (1998). Cholera. American Journal of Medicine 104: 386–94.
206. Redelmeier DA, Greenwald JA (2007). Competing risks of mortality with marathons: Retrospective analysis. British Medical Journal 335: 1275–77.
207. Rindfuss RR, Bumpass L, St. John C (1980). Education and fertility: Implications for the roles women occupy. American Sociological Review 45: 431–47.
208. Rindfuss RR, Bumpass L, St. John C (1984). Education and the timing of motherhood: Disentangling causation. Journal of Marriage and the Family 46: 981–84.
209. Rindfuss RR, St. John C (1983). Social determinants of age at first birth. Journal of Marriage and the Family 45: 553–65.
210. Rodgers RC, Maranto CL (1989). Causal models of publishing productivity in psychology. Journal of Applied Psychology 74: 636–49.
211. Rosenberg CE (1962). The Cholera Years. Chicago University Press.
212. Rothman KJ (1990). No adjustments are needed for multiple comparisons. Epidemiology 1 43–46.
213. Rubin D (1974). Estimating causal effects of treatments in randomized and nonrandomized studies. Journal of Educational Psychology 66: 688–701.
214. Ruffin MT (1999). Screening for prostate cancer. Journal of Family Practice 48: 581–82.
215. Scheffé H (1956). Alternative models for the analysis of variance. Annals of Mathematical Statistics 27: 251–71.
216. Schneider M, Teske P, Marschall M (1997). Institutional arrangements and the creation of social capital: The effects of public school choice. AmericanPolitical Science Review 91: 82–93.
217. Schneider M, Teske P, Marschall M (2002). Choosing Schools: Consumer Choice and the Quality of American Schools. Princeton University Press.
218. Semmelweis I (1860). The Etiology, Concept, and Prophylaxis of Childbed Fever. English translation by KC Carter (1983), University ofWisconsin Press.
219. Sen AK (2002). Rationality and Freedom. Harvard University Press.
220. Shadish WR, Cook TD, Campbell DT (2002). Experimental and Quasi-Experimental Designs for Generalized Causal Inference. Houghton Mifflin, Boston.
221. Shaffer J (1991). The Gauss-Markov theorem and random regressors. TheAmerican Statistician 45: 269–73.
222. Shapiro S, Venet W, Strax P, Venet L (1988). Periodic Screening for Breast Cancer: The Health Insurance Plan Project and its Sequelae, 1963–1986. Johns Hopkins University Press, Baltimore.
223. Shaw DR (1999). The effect of TV ads and candidate appearances on statewide presidential votes, 1988–96. American Political Science Review 93: 345–61.
224. Sims CA (1980). Macroeconomics and reality. Econometrica 48: 1–47.
225. Smith GCS, Pell JP (2004). Parachute use to prevent death and major trauma related to gravitational challenge: Systematic review of randomised controlled trials. British Medical Journal 327: 1459–61.
226. Smith RA (2003). Ideology masquerading as evidence-based medicine: The Cochrane review on screening for breast cancer with mammography. Breast Diseases: A Yearbook Quarterly 13: 298–307.
227. Snow J (1855). On the Mode of Communication of Cholera. Churchill, London. Reprinted by Hafner, NewYork (1965).
228. Sobel ME (1998). Causal inference in statistical models of the process of socioeconomic achievement—A case study. Sociological Methods & Research 27: 318–48.
229. Sobel ME (2000). Causal inference in the social sciences. Journal of the American Statistical Association 95: 647–51.
230. Spirtes P, Glymour C, Scheines R (1993). Causation, Prediction, and Search. Springer Lecture Notes in Statistics, no. 81. 2nd ed., MIT Press (2000).
231. Stevens SS (1946). On the theory of scales of measurement. Science 103: 677–80.
232. Steiger JH (2001). Driving fast in reverse. Journal of the American Statistical Association 96: 331–38.
233. Stigler SM (1986). The History of Statistics. Harvard University Press.
234. Stouffer SA (1955). Communism, Conformity, and Civil Liberties. Doubleday.
235. Stone R (1993). The assumptions on which causal inferences rest. Journal of the Royal Statistical Society Series B 55: 455–66.
236. Sundt TM (1987).Was the international randomized trial of extracranial-intracranial arterial bypass representative of the population at risk? With editorial, comments by Goldring et al, reply by Barnett et al. New England Journal of Medicine 316: 809–10, 814–24. See EC/IC Bypass Study Group (1985).
237. Terris M, ed. (1964). Goldberger on Pellagra. Louisiana State University Press.
238. Timberlake M, Williams KR (1984). Dependence, political exclusion, and government repression: Some cross-national evidence. American Sociological Review 49: 141–46.
239. Tinbergen J (1940). On a method of statistical business-cycle research.A reply [to Keynes]. The Economic Journal 50: 141–54.
240. Truett J, Cornfield J, Kannel W (1967). A multivariate analysis of the risk of coronary heart disease in Framingham. Journal of Chronic Diseases 20: 511–24.
241. US Department of Education (1987). High School and Beyond Third Follow-Up (1986) Sample Design Report. Office of Educational Research and Improvement, Center for Education Statistics.Washington, DC. http://nces.ed.gov/pubsearch/pubsinfo.asp?pubid=88402
242. US Preventive Services Task Force (2002). Screening for prostate cancer: Recommendation and rationale. Annals of Internal Medicine 137: 915–16.
243. Verhulst PF (1845). Recherches mathématiques sur la loi d’accroissement de la population. Nouveaux mémoires de l’Académie Royale des Sciences et Belles- Lettres de Bruxelles 18: 1–38.
244. Victora CG, Habicht JP, Bryce J (2004). Evidence-based public health: Moving beyond randomized trials. American Journal of Public Health 94: 400–405.
245. Vinten-Johansen P, Brody H, Paneth N, Rachman S (2003). Cholera, Chloroform, and the Science of Medicine. Oxford University Press.
246. Virtamo J et al (2003). Incidence of cancer and mortality following alphatocopherol and beta-carotene supplementation: a postintervention follow-up. Journal of the American Medical Association 290: 476–85.
247. Walsh C (2003). Antibiotics: Actions, Origins, Resistance. ASM Press, Washington, DC.
248. White H (1980). A heteroskedasticity-consistent covariance matrix estimator and a direct test for heteroskedasticity. Econometrica 48: 817–38.
249. Widder DV (1946). The Laplace Transform. Princeton University Press.
250. Wilde ET, Hollister R (2007). Howclose is close enough? Evaluating propensity score matching using data from a class size reduction experiment. Journal of Policy Analysis and Management 26: 455–77.
251. Winkelstein W (1995). A new perspective on John Snow’s communicable disease theory. American Journal of Epidemiology 142 (9 Suppl) S3–9.
252. Wright PG (1928). The Tariff on Animal and Vegetable Oils. Macmillan.
253. Writing Group for theWomen’s Health Initiative Investigators (2002). Risks and benefits of estrogen plus progestin in healthy postmenopausalwomen: Principal results from the women’s health initiative randomized controlled trial. Journal of the American Medical Association 288: 321–33.
254. Yule GU (1899). An investigation into the causes of changes in pauperism in England, chiefly during the last two intercensal decades. Journal of the Royal Statistical Society 62: 249–95 (with discussion).
255. Yule GU (1900). On the association of attributes in statistics: With illustrations from the material of the childhood society, &c. Philosophical Transactions of the Royal Society of London. Series A 194: 257–319.
256. Yule GU (1925). The growth of population and the factors which control it. Journal of the Royal Statistical Society 88: 1–62 (with discussion).
257. Yule GU (1926).Why do we sometimes get nonsense-correlations between time series? Journal of the Royal Statistical Society 89: 1–69 (with discussion). This paper and the previous one wereYule’s presidential addresses.