-
1
-
-
84947380923
-
Components of a difference between two rates
-
Kitagawa EM. Components of a difference between two rates. J Am Stat Assoc. 1955;50:1168-1194.
-
(1955)
J Am Stat Assoc
, vol.50
, pp. 1168-1194
-
-
Kitagawa, E.M.1
-
2
-
-
84937090705
-
Smoking and lung cancer: Recent evidence and a discussion of some questions
-
Cornfield J, Haenszel W, Hammond EC, Lilienfeld AM, Shimkin MB, Wynder LL. Smoking and lung cancer: recent evidence and a discussion of some questions. J Natl Cancer Inst. 1959;22:173-203.
-
(1959)
J Natl Cancer Inst
, vol.22
, pp. 173-203
-
-
Cornfield, J.1
Haenszel, W.2
Hammond, E.C.3
Lilienfeld, A.M.4
Shimkin, M.B.5
Wynder, L.L.6
-
3
-
-
0013916535
-
Spurious effects from an extraneous variable
-
Bross ID. Spurious effects from an extraneous variable. J Chronic Dis. 1966;19:637-647.
-
(1966)
J Chronic Dis
, vol.19
, pp. 637-647
-
-
Bross, I.D.1
-
4
-
-
0017989533
-
Assessing effects of confounding variables
-
Schlesselman JJ. Assessing effects of confounding variables. Am J Epidemiol. 1978;108:3-8.
-
(1978)
Am J Epidemiol
, vol.108
, pp. 3-8
-
-
Schlesselman, J.J.1
-
5
-
-
0003492892
-
-
Statistical Methods in Cancer Research Lyon: International Agency for Research on Cancer chap 3
-
Breslow NE, Day NE. Statistical Methods in Cancer Research. Vol 1: The Analysis of Case-Control Studies. Lyon: International Agency for Research on Cancer; 1980: chap 3.
-
(1980)
The Analysis of Case-Control Studies
, vol.1
-
-
Breslow, N.E.1
Day, N.E.2
-
6
-
-
0001679041
-
Assessing sensitivity to an unobserved binary covariate in an observational study with binary outcome
-
Rosenbaum PR, Rubin DB. Assessing sensitivity to an unobserved binary covariate in an observational study with binary outcome. J R Stat Soc Series B. 1983;45:212-218.
-
(1983)
J R Stat Soc Series B
, vol.45
, pp. 212-218
-
-
Rosenbaum, P.R.1
Rubin, D.B.2
-
7
-
-
0013140520
-
Case-control studies: Assessing the effect of a confounding factor
-
Yanagawa T. Case-control studies: assessing the effect of a confounding factor. Biometrika. 1984;71:191-194.
-
(1984)
Biometrika
, vol.71
, pp. 191-194
-
-
Yanagawa, T.1
-
8
-
-
0023854912
-
Indirect corrections for confounding under multiplicative and additive risk models
-
Gail MH, Wacholder S, Lubin JH. Indirect corrections for confounding under multiplicative and additive risk models. Am J Ind Med. 1988;13: 119-130.
-
(1988)
Am J Ind Med
, vol.13
, pp. 119-130
-
-
Gail, M.H.1
Wacholder, S.2
Lubin, J.H.3
-
9
-
-
0025160334
-
Indirect assessment of confounding: Graphic description and limits on effect of adjusting for covariates
-
Flanders WD, Khoury MJ. Indirect assessment of confounding: graphic description and limits on effect of adjusting for covariates. Epidemiology. 1990;1:239-246.
-
(1990)
Epidemiology
, vol.1
, pp. 239-246
-
-
Flanders, W.D.1
Khoury, M.J.2
-
11
-
-
0031661402
-
Assessing the sensitivity of regression results to unmeasured confounders in observational studies
-
Lin DY, Psaty BM, Kronmal RA. Assessing the sensitivity of regression results to unmeasured confounders in observational studies. Biometrics. 1998;54:948-963.
-
(1998)
Biometrics
, vol.54
, pp. 948-963
-
-
Lin, D.Y.1
Psaty, B.M.2
Kronmal, R.A.3
-
12
-
-
0002121637
-
Sensitivity analysis for selection bias and unmeasured confounding in missing data and causal inference models
-
Halloran E, Berry D, eds New York: Springer-Verlag
-
Robins JM, Scharfstein D, Rotnitzky A. Sensitivity analysis for selection bias and unmeasured confounding in missing data and causal inference models. In: Halloran E, Berry D, eds. Statistical Models for Epidemiology, the Environment, and Clinical Trials. New York: Springer-Verlag; 2000:1-95.
-
(2000)
Statistical Models for Epidemiology, the Environment, and Clinical Trials
, pp. 1-95
-
-
Robins, J.M.1
Scharfstein, D.2
Rotnitzky, A.3
-
14
-
-
1842468142
-
Sensitivity to exogeneity assumptions in program evaluation
-
Imbens GW. Sensitivity to exogeneity assumptions in program evaluation. Am Econ Rev. 2003;93:126-132.
-
(2003)
Am Econ Rev
, vol.93
, pp. 126-132
-
-
Imbens, G.W.1
-
15
-
-
0037361638
-
The impact of prior distributions for uncontrolled confounding and response bias: A case study of the relation of wire codes and magnetic fields to childhood leukemia
-
Greenland S. The impact of prior distributions for uncontrolled confounding and response bias: a case study of the relation of wire codes and magnetic fields to childhood leukemia. J Am Stat Assoc. 2003;98: 47-54.
-
(2003)
J Am Stat Assoc
, vol.98
, pp. 47-54
-
-
Greenland, S.1
-
16
-
-
20144383829
-
Multiple-bias modeling for analysis of observational data (with discussion)
-
Greenland S. Multiple-bias modeling for analysis of observational data (with discussion). J R Stat Soc Series A. 2005;168:267-308.
-
(2005)
J R Stat Soc Series A
, vol.168
, pp. 267-308
-
-
Greenland, S.1
-
17
-
-
1442326306
-
Sensitivity analyses for unmeasured confounding assuming a marginal structural model for repeated measures
-
Brumback BA, Hernán MA, Haneuse SJ, et al. Sensitivity analyses for unmeasured confounding assuming a marginal structural model for repeated measures. Stat Med. 2004;23:749-767.
-
(2004)
Stat Med
, vol.23
, pp. 749-767
-
-
Brumback, B.A.1
Hernán, M.A.2
Haneuse, S.J.3
-
18
-
-
24144477605
-
Adjusting effect estimates for unmeasured confounding with validation data using propensity score calibration
-
Stürmer T, Schneeweiss S, Avorn J, et al. Adjusting effect estimates for unmeasured confounding with validation data using propensity score calibration. Am J Epdiemiol. 2005;162:279-289.
-
(2005)
Am J Epdiemiol
, vol.162
, pp. 279-289
-
-
Stürmer, T.1
Schneeweiss, S.2
Avorn, J.3
-
19
-
-
34248379740
-
Bayesian sensitivity analysis for unmeasured confounding in observational studies
-
McCandless LC, Gustafson P, Levy A. Bayesian sensitivity analysis for unmeasured confounding in observational studies. Stat Med. 2007;26: 2331-2347.
-
(2007)
Stat Med
, vol.26
, pp. 2331-2347
-
-
McCandless, L.C.1
Gustafson, P.2
Levy, A.3
-
20
-
-
43749091286
-
Sensitivity analysis: Distributional assumptions and confounding assumptions
-
VanderWeele TJ. Sensitivity analysis: distributional assumptions and confounding assumptions. Biometrics. 2008;64:645-649.
-
(2008)
Biometrics
, vol.64
, pp. 645-649
-
-
Vanderweele, T.J.1
-
21
-
-
47349085647
-
Bias formulas for external adjustment and sensitivity analysis of unmeasured confounders
-
Arah OA, Chiba Y, Greenland S. Bias formulas for external adjustment and sensitivity analysis of unmeasured confounders. Ann Epidemiol. 2008;18:637-646.
-
(2008)
Ann Epidemiol
, vol.18
, pp. 637-646
-
-
Arah, O.A.1
Chiba, Y.2
Greenland, S.3
-
23
-
-
0000770002
-
Nonparametric bounds on treatment effects
-
Manski CF. Nonparametric bounds on treatment effects. Am Econ Rev. 1990;80:319-323.
-
(1990)
Am Econ Rev
, vol.80
, pp. 319-323
-
-
Manski, C.F.1
-
24
-
-
0000311879
-
Monotone treatment response
-
Manski CF. Monotone treatment response. Econometrica. 1997;65: 1311-1334.
-
(1997)
Econometrica
, vol.65
, pp. 1311-1334
-
-
Manski, C.F.1
-
26
-
-
20544453910
-
Bounding causal effects under uncontrolled confounding using counterfactuals
-
MacLehose RF, Kaufman S, Kaufman JS, et al. Bounding causal effects under uncontrolled confounding using counterfactuals. Epidemiology. 2005;16:548-555.
-
(2005)
Epidemiology
, vol.16
, pp. 548-555
-
-
MacLehose, R.F.1
Kaufman, S.2
Kaufman, J.S.3
-
27
-
-
43749094334
-
The sign of the bias of unmeasured confounding
-
VanderWeele TJ. The sign of the bias of unmeasured confounding. Biometrics. 2008;64:702-706.
-
(2008)
Biometrics
, vol.64
, pp. 702-706
-
-
Vanderweele, T.J.1
-
28
-
-
58149417330
-
Estimating causal effects of treatments in randomized and nonrandomized studies
-
Rubin DB. Estimating causal effects of treatments in randomized and nonrandomized studies. J Educ Psychol. 1974;66:688-701.
-
(1974)
J Educ Psychol
, vol.66
, pp. 688-701
-
-
Rubin, D.B.1
-
29
-
-
0002531157
-
Bayesian inference for causal effects: The role of randomization
-
Rubin DB. Bayesian inference for causal effects: the role of randomization. Ann Stat. 1978;6:34-58.
-
(1978)
Ann Stat
, vol.6
, pp. 34-58
-
-
Rubin, D.B.1
-
30
-
-
38249019870
-
Formal modes of statistical inference for causal effects
-
Rubin DB. Formal modes of statistical inference for causal effects. J Stat Plann Infer. 1990;25:279-292.
-
(1990)
J Stat Plann Infer
, vol.25
, pp. 279-292
-
-
Rubin, D.B.1
-
32
-
-
0020334299
-
Some aspects of the analysis of covariance
-
Cox DR, McCullagh P. Some aspects of the analysis of covariance. Biometrics. 1982;38:541-561.
-
(1982)
Biometrics
, vol.38
, pp. 541-561
-
-
Cox, D.R.1
McCullagh, P.2
-
33
-
-
70349349170
-
-
Cambridge: Cambridge University Press
-
Pearl J. Causality. Cambridge: Cambridge University Press; 2009.
-
(2009)
Causality
-
-
Pearl, J.1
-
34
-
-
77951622706
-
The central role of propensity score in observational studies for causal effects
-
Rosenbaum PR, Rubin DB. The central role of propensity score in observational studies for causal effects. Biometrika. 1983;70:41-55.
-
(1983)
Biometrika
, vol.70
, pp. 41-55
-
-
Rosenbaum, P.R.1
Rubin, D.B.2
-
35
-
-
0028799430
-
In-utero exposure to pheno-barbital and intelligence deficits in adult men
-
Reinisch J, Sanders S, Mortensen E, et al. In-utero exposure to pheno-barbital and intelligence deficits in adult men. J Am Med Assoc. 1995; 274:1518-1525.
-
(1995)
J Am Med Assoc
, vol.274
, pp. 1518-1525
-
-
Reinisch, J.1
Sanders, S.2
Mortensen, E.3
-
36
-
-
84945581878
-
Constructing a control group using multi-variate matched sampling methods that incorporate the propensity score
-
Rosenbaum PR, Rubin DB. Constructing a control group using multi- variate matched sampling methods that incorporate the propensity score. Am Stat. 1985;39:33-38
-
(1985)
Am Stat
, vol.39
, pp. 33-38
-
-
Rosenbaum, P.R.1
Rubin, D.B.2
-
38
-
-
0027967406
-
An evaluation of the Kessner Adequacy of Prenatal Care Index and a proposed Adequacy of Prenatal Care Utilization Index
-
Kotelchuck M. An evaluation of the Kessner adequacy of prenatal care index and a proposed adequacy of prenatal care utilization index. Am J Public Health. 1994;84:1414-1420. (Pubitemid 24290938)
-
(1994)
American Journal of Public Health
, vol.84
, Issue.9
, pp. 1414-1420
-
-
Kotelchuck, M.1
-
39
-
-
60549085737
-
A comparison of four prenatal care indices in birth outcome models: Comparable results for predicting small-for-gestational-age outcome but different results for preterm birth or infant mortality
-
VanderWeele TJ, Lantos JD, Siddique J, et al. A comparison of four prenatal care indices in birth outcome models: comparable results for predicting small-for-gestational-age outcome but different results for preterm birth or infant mortality. J Clin Epidemiol. 2009;62:438-445.
-
(2009)
J Clin Epidemiol
, vol.62
, pp. 438-445
-
-
Vanderweele, T.J.1
Lantos, J.D.2
Siddique, J.3
-
41
-
-
84888862680
-
Estimation of regression coefficients when some regressors are not always observed
-
Robins JM, Rotnitzky A, Zhao LP. Estimation of regression coefficients when some regressors are not always observed. J Am Stat Assoc. 1994;89:846-866.
-
(1994)
J Am Stat Assoc
, vol.89
, pp. 846-866
-
-
Robins, J.M.1
Rotnitzky, A.2
Zhao, L.P.3
-
42
-
-
33644851650
-
Doubly robust estimation in missing data and causal inference models
-
Bang H, Robins JM. Doubly robust estimation in missing data and causal inference models. Biometrics. 2005;61:692-972.
-
(2005)
Biometrics
, vol.61
, pp. 692-972
-
-
Bang, H.1
Robins, J.M.2
-
43
-
-
33846066470
-
A distributional approach for causal inference using propensity scores
-
Tan Z. A distributional approach for causal inference using propensity scores. J Am Stat Assoc. 2006;101:1619-1637.
-
(2006)
J Am Stat Assoc
, vol.101
, pp. 1619-1637
-
-
Tan, Z.1
-
44
-
-
69249196484
-
Improving efficiency and robustness of the doubly robust estimator for a population mean with incomplete data
-
Cao W, Tsiatis AA, Davidian M. Improving efficiency and robustness of the doubly robust estimator for a population mean with incomplete data. Biometrika. 2009;96:723-734.
-
(2009)
Biometrika
, vol.96
, pp. 723-734
-
-
Cao, W.1
Tsiatis, A.A.2
Davidian, M.3
-
45
-
-
0033302078
-
Assessing the sensitivity of regression results to unmeasured confounders in observational studies [letter]
-
Hernan M, Robins JM. Assessing the sensitivity of regression results to unmeasured confounders in observational studies [letter]. Biometrics. 1999;55:1316-1317.
-
(1999)
Biometrics
, vol.55
, pp. 1316-1317
-
-
Hernan, M.1
Robins, J.M.2
-
46
-
-
37549071382
-
Simple formulas for gauging the potential impacts of population stratification bias
-
Lee WC, Wang LY. Simple formulas for gauging the potential impacts of population stratification bias. Am J Epidemiol. 2008;167:86-89.
-
(2008)
Am J Epidemiol
, vol.167
, pp. 86-89
-
-
Lee, W.C.1
Wang, L.Y.2
|