-
1
-
-
34447129608
-
Performance of propensity score calibration - a simulation study
-
Stürmer T, Schneeweiss S, Avorn J, et al. Performance of propensity score calibration - a simulation study. Am J Epidemiol 2007;165:1110-18.
-
(2007)
Am J Epidemiol
, vol.165
, pp. 1110-1118
-
-
Stürmer, T.1
Schneeweiss, S.2
Avorn, J.3
-
2
-
-
33748106661
-
Instruments for causal inference: An epidemiologist's dream?
-
Hernan MA, Robins JM. Instruments for causal inference: an epidemiologist's dream? Epidemiology 2006;17:360-72.
-
(2006)
Epidemiology
, vol.17
, pp. 360-372
-
-
Hernan, M.A.1
Robins, J.M.2
-
3
-
-
0033567210
-
Invited commentary: Propensity scores
-
Joffe MM, Rosenbaum PR. Invited commentary: propensity scores. Am J Epidemiol 1999;150:327-33.
-
(1999)
Am J Epidemiol
, vol.150
, pp. 327-333
-
-
Joffe, M.M.1
Rosenbaum, P.R.2
-
4
-
-
24144477605
-
Adjusting effect estimates for unmeasured confounding with validation data using propensity score calibration
-
Sturmer T, Schneeweiss S, Avorn J, et al. Adjusting effect estimates for unmeasured confounding with validation data using propensity score calibration. Am J Epidemiol 2005;162:279-89.
-
(2005)
Am J Epidemiol
, vol.162
, pp. 279-289
-
-
Sturmer, T.1
Schneeweiss, S.2
Avorn, J.3
-
5
-
-
33847310728
-
Avoiding invalid instruments and coping with weak instruments
-
Murray MP. Avoiding invalid instruments and coping with weak instruments. J Econ Perspect 2006;20:111-32.
-
(2006)
J Econ Perspect
, vol.20
, pp. 111-132
-
-
Murray, M.P.1
-
6
-
-
33745588280
-
Interval estimation for treatment effects using propensity score matching
-
Hill J, Reiter JP. Interval estimation for treatment effects using propensity score matching. Stat Med 2006;25:2230-56.
-
(2006)
Stat Med
, vol.25
, pp. 2230-2256
-
-
Hill, J.1
Reiter, J.P.2
-
8
-
-
33745404626
-
Accounting for independent nondifferential misclassification does not increase certainty that an observed association is in the correct direction
-
Greenland S, Gustafson P. Accounting for independent nondifferential misclassification does not increase certainty that an observed association is in the correct direction. Am J Epidemiol 2006;164:63-8.
-
(2006)
Am J Epidemiol
, vol.164
, pp. 63-68
-
-
Greenland, S.1
Gustafson, P.2
-
9
-
-
1542358740
-
The (mis)estimation of neighborhood effects: Causal inference for a practicable social epidemiology
-
Oakes JM. The (mis)estimation of neighborhood effects: causal inference for a practicable social epidemiology. Soc Sci Med 2004;58:1929-52.
-
(2004)
Soc Sci Med
, vol.58
, pp. 1929-1952
-
-
Oakes, J.M.1
-
10
-
-
70350116604
-
Measurement error in survey data
-
Heckman JJ, Leamer E, eds, New York, NY: Elsevier Publishing Company
-
Bound J, Brown C, Mathiowetz N. Measurement error in survey data. In: Heckman JJ, Leamer E, eds. Handbook of econometrics. Vol 5. New York, NY: Elsevier Publishing Company, 2001:3706-843.
-
(2001)
Handbook of econometrics
, vol.5
, pp. 3706-3843
-
-
Bound, J.1
Brown, C.2
Mathiowetz, N.3
-
11
-
-
20144383829
-
Multiple-bias modelling for analysis of observational data
-
Greenland S. Multiple-bias modelling for analysis of observational data. J R Stat Soc Ser A 2005;168:267-306.
-
(2005)
J R Stat Soc Ser A
, vol.168
, pp. 267-306
-
-
Greenland, S.1
-
12
-
-
3843086509
-
Monte Carlo sensitivity analysis and Bayesian analysis of smoking as an unmeasured confounder in a study of silica and lung cancer
-
Steenland K, Greenland S. Monte Carlo sensitivity analysis and Bayesian analysis of smoking as an unmeasured confounder in a study of silica and lung cancer. Am J Epidemiol 2004;160:384-92.
-
(2004)
Am J Epidemiol
, vol.160
, pp. 384-392
-
-
Steenland, K.1
Greenland, S.2
-
13
-
-
16344384926
-
Measurement error models with auxiliary data
-
Chen X, Hong H, Tamer E. Measurement error models with auxiliary data. Rev Econ Stud 2005;72:343-66.
-
(2005)
Rev Econ Stud
, vol.72
, pp. 343-366
-
-
Chen, X.1
Hong, H.2
Tamer, E.3
-
14
-
-
33847404030
-
When can history be our guide? The pitfalls of counterfactual inference
-
King G, Zeng L. When can history be our guide? The pitfalls of counterfactual inference. Int Stud Q 2007;51:183-210. (http://gking.harvard.edu/ files/counterf.pdf).
-
Int Stud
, vol.Q 2007
, Issue.51
, pp. 183-210
-
-
King, G.1
Zeng, L.2
-
15
-
-
33745588272
-
Commentary: Advancing neighbourhood-effects research - selection, inferential support, and structural confounding
-
Oakes JM. Commentary: advancing neighbourhood-effects research - selection, inferential support, and structural confounding. Int J Epidemiol 2006;35:643-7.
-
(2006)
Int J Epidemiol
, vol.35
, pp. 643-647
-
-
Oakes, J.M.1
-
16
-
-
0023263309
-
Should we abandon statistical modeling altogether?
-
Vandenbroucke JP. Should we abandon statistical modeling altogether? Am J Epidemiol 1987;126:10-13.
-
(1987)
Am J Epidemiol
, vol.126
, pp. 10-13
-
-
Vandenbroucke, J.P.1
-
17
-
-
33746918974
-
Testing multiple statistical hypotheses resulted in spurious associations: A study of astrological signs and health
-
Austin PC, Mamdani MM, Juurlink DN, et al. Testing multiple statistical hypotheses resulted in spurious associations: a study of astrological signs and health. J Clin Epidemiol 2006;59:964-9.
-
(2006)
J Clin Epidemiol
, vol.59
, pp. 964-969
-
-
Austin, P.C.1
Mamdani, M.M.2
Juurlink, D.N.3
-
18
-
-
84905002632
-
A note on screening regression equations
-
Freedman DA. A note on screening regression equations. Am Stat 1983;37:152-5.
-
(1983)
Am Stat
, vol.37
, pp. 152-155
-
-
Freedman, D.A.1
-
19
-
-
33745625289
-
Propensity score matching methods for social epidemiology
-
Oakes JM, Kaufman JS, eds, San Francisco, CA: Jossey-Bass Publishers
-
Oakes JM, Johnson PJ. Propensity score matching methods for social epidemiology. In: Oakes JM, Kaufman JS, eds. Methods in social epidemiology. San Francisco, CA: Jossey-Bass Publishers, 2006:370-92.
-
(2006)
Methods in social epidemiology
, pp. 370-392
-
-
Oakes, J.M.1
Johnson, P.J.2
|