-
2
-
-
0026573094
-
Statistical validation of intermediate endpoints for chronic diseases
-
Freedman LS, Graubard BI, Schatzkin A. Statistical validation of intermediate endpoints for chronic diseases. Stat Med. 1992 ; 11: 167-78
-
(1992)
Stat Med
, vol.11
, pp. 167-78
-
-
Freedman, L.S.1
Graubard, B.I.2
Schatzkin, A.3
-
3
-
-
0024382696
-
The control of confounding by intermediate variables
-
Robins JM. The control of confounding by intermediate variables. Stat Med. 1989 ; 8: 679-701
-
(1989)
Stat Med
, vol.8
, pp. 679-701
-
-
Robins, J.M.1
-
4
-
-
0001198982
-
The consequences of adjustment for a concomitant variable that has been affected by the treatment
-
Rosenbaum PR. The consequences of adjustment for a concomitant variable that has been affected by the treatment. J R Statist Soc A. 1984 ; 147: 656-66
-
(1984)
J R Statist Soc A
, vol.147
, pp. 656-66
-
-
Rosenbaum, P.R.1
-
5
-
-
15544376668
-
A further critique of the analytic strategy of adjusting for covariates to identify biologic mediation
-
Kaufman JS, MacLehose RF, Kaufman S. A further critique of the analytic strategy of adjusting for covariates to identify biologic mediation. Epidemiol Perspect Innov. 2004 ; 1: 4-4
-
(2004)
Epidemiol Perspect Innov
, vol.1
, pp. 4-4
-
-
Kaufman, J.S.1
MacLehose, R.F.2
Kaufman, S.3
-
6
-
-
0026556155
-
Identifiability and exchangeability for direct and indirect effects
-
Robins JM, Greenland S. Identifiability and exchangeability for direct and indirect effects. Epidemiology. 1992 ; 3: 143-55
-
(1992)
Epidemiology
, vol.3
, pp. 143-55
-
-
Robins, J.M.1
Greenland, S.2
-
8
-
-
66749103867
-
Opening the black box: A motivation for the assessment of mediation
-
Hafeman DM, Schwartz S. Opening the black box: a motivation for the assessment of mediation. Int J Epidemiol. 2009 ; 38: 838-45
-
(2009)
Int J Epidemiol
, vol.38
, pp. 838-45
-
-
Hafeman, D.M.1
Schwartz, S.2
-
10
-
-
67349216949
-
Marginal structural models for the estimation of direct and indirect effects
-
VanderWeele TJ. Marginal structural models for the estimation of direct and indirect effects. Epidemiology. 2009 ; 20: 18-26
-
(2009)
Epidemiology
, vol.20
, pp. 18-26
-
-
Vanderweele, T.J.1
-
11
-
-
62249208742
-
Analysing direct effects in randomized trials with secondary interventions: An application to human immunodeficiency virus prevention trials
-
Rosenblum M, Jewell N, van der Laan M, et al. Analysing direct effects in randomized trials with secondary interventions: an application to human immunodeficiency virus prevention trials. J R Statist Soc A. 2009 ; 172: 443-65
-
(2009)
J R Statist Soc A
, vol.172
, pp. 443-65
-
-
Rosenblum, M.1
Jewell, N.2
Van Der Laan, M.3
-
14
-
-
38549181561
-
Effects of candesartan compared with amlodipine in hypertensive patients with high cardiovascular risks: Candesartan antihypertensive survival evaluation in Japan trial
-
DOI 10.1161/HYPERTENSIONAHA.107.098475, PII 0000426820080200000036
-
Ogihara T, Nakao K, Fukui T, et al. Effects of candesartan compared with amlodipine in hypertensive patients with high cardiovascular risks: candesartan antihypertensive survival evaluation in Japan trial. Hypertension. 2008 ; 51: 393-98 (Pubitemid 351159955)
-
(2008)
Hypertension
, vol.51
, Issue.2
, pp. 393-398
-
-
Ogihara, T.1
Nakao, K.2
Fukui, T.3
Fukiyama, K.4
Ueshima, K.5
Oba, K.6
Sato, T.7
Saruta, T.8
-
15
-
-
19944421775
-
Improved estimation of controlled direct effects in the presence of unmeasured confounding of intermediate variables
-
DOI 10.1002/sim.2057
-
Kaufman S, Kaufman JS, MacLehose RF, et al. Improved estimation of controlled direct effects in the presence of unmeasured confounding of intermediate variables. Stat Med. 2005 ; 24: 1683-702 (Pubitemid 40754088)
-
(2005)
Statistics in Medicine
, vol.24
, Issue.11
, pp. 1683-1702
-
-
Kaufman, S.1
Kaufman, J.S.2
MacLehose, R.F.3
Greenland, S.4
Poole, C.5
-
16
-
-
84920420698
-
Statistics and causal inference (with discussion and rejoinder)
-
Holland P. Statistics and causal inference (with discussion and rejoinder). J Am Statist Assoc. 1986 ; 81: 945-70
-
(1986)
J Am Statist Assoc
, vol.81
, pp. 945-70
-
-
Holland, P.1
-
17
-
-
74549138178
-
Concerning the consistency assumption in causal inference
-
VanderWeele TJ. Concerning the consistency assumption in causal inference. Epidemiology. 2009 ; 20: 880-83
-
(2009)
Epidemiology
, vol.20
, pp. 880-83
-
-
Vanderweele, T.J.1
-
18
-
-
15544371335
-
-
Green P Hjort NL Richardson S, ed. New York: Oxford University Press;
-
Robins JM Highly Structured Stochastic Systems. Green P Hjort NL Richardson S, ed. New York: Oxford University Press ; 2003: 70-81.
-
(2003)
Highly Structured Stochastic Systems
, pp. 70-81
-
-
Robins, J.M.1
-
19
-
-
0033847784
-
Marginal structural models and causal inference in epidemiology
-
DOI 10.1097/00001648-200009000-00011
-
Robins JM, Hernan MA, Brumback B. Marginal structural models and causal inference in epidemiology. Epidemiology. 2000 ; 11: 550-60 (Pubitemid 30660034)
-
(2000)
Epidemiology
, vol.11
, Issue.5
, pp. 550-560
-
-
Robins, J.M.1
Hernan, M.A.2
Brumback, B.3
-
20
-
-
1542472967
-
Marginal structural models as a tool for standardization
-
DOI 10.1097/01.EDE.0000081989.82616.7d
-
Sato T, Matsuyama Y. Marginal structural models as a tool for standardization. Epidemiology. 2003 ; 14: 680-86 (Pubitemid 40417015)
-
(2003)
Epidemiology
, vol.14
, Issue.6
, pp. 680-686
-
-
Sato, T.1
Matsuyama, Y.2
-
21
-
-
9144232220
-
Candesartan Antihypertensive Survival Evaluation in Japan (CASE-J) trial of cardiovascular events in high-risk hypertensive patients: Rationale, design, and methods
-
DOI 10.1291/hypres.26.979
-
Fukui T, Rahman M, Hayashi K, et al. Candesartan antihypertensive survival evaluation in Japan (CASE-J) trial of cardiovascular events in high-risk hypertensive patients: rationale, design, and methods. Hypertens Res. 2003 ; 26: 979-90 (Pubitemid 38128771)
-
(2003)
Hypertension Research
, vol.26
, Issue.12
, pp. 979-990
-
-
Fukui, T.1
Rhaman, M.2
Hayashi, K.3
Takeda, K.4
Higaki, J.5
Sato, T.6
Fukushima, M.7
Sakamoto, J.8
Morita, S.9
Ogihara, T.10
Fukiyama, K.11
Fujishima, M.12
Saruta, T.13
-
22
-
-
0035214582
-
Guidelines for the management of hypertension for general practitioners
-
Guidelines for the management of hypertension for general practitioners. Hypertens Res. 2001 ; 24: 613-34
-
(2001)
Hypertens Res
, vol.24
, pp. 613-34
-
-
-
23
-
-
0033839024
-
Marginal structural models to estimate the causal effect of zidovudine on the survival of HIV-positive men
-
DOI 10.1097/00001648-200009000-00012
-
Hernan MA, Brumback B, Robins JM. Marginal structural models to estimate the causal effect of zidovudine on the survival of HIV-positive men. Epidemiology. 2000 ; 11: 561-70 (Pubitemid 30660035)
-
(2000)
Epidemiology
, vol.11
, Issue.5
, pp. 561-570
-
-
Hernan, M.A.1
Brumback, B.2
Robins, J.M.3
-
24
-
-
0037198994
-
Estimating the causal effect of zidovudine on CD4 count with a marginal structural model for repeated measures
-
DOI 10.1002/sim.1144
-
Hernan MA, Brumback BA, Robins JM. Estimating the causal effect of zidovudine on CD4 count with a marginal structural model for repeated measures. Stat Med. 2002 ; 21: 1689-709 (Pubitemid 34678901)
-
(2002)
Statistics in Medicine
, vol.21
, Issue.12
, pp. 1689-1709
-
-
Hernan, M.A.1
Brumback, B.A.2
Robins, J.M.3
-
26
-
-
34147116836
-
Blood pressure-dependent and independent effects of agents that inhibit the renin-angiotensin system
-
Blood pressure-dependent and independent effects of agents that inhibit the renin-angiotensin system. J Hypertens. 2007 ; 25: 951-58
-
(2007)
J Hypertens
, vol.25
, pp. 951-58
-
-
-
27
-
-
33644859247
-
Counterfactual links to the proportion of treatment effect explained by a surrogate marker
-
DOI 10.1111/j.1541-0420.2005.00380.x
-
Taylor JMG, Wang Y, Thiebaut R. Counterfactual links to the proportion of treatment effect explained by a surrogate marker. Biometrics. 2005 ; 61: 1102-11 (Pubitemid 43906918)
-
(2005)
Biometrics
, vol.61
, Issue.4
, pp. 1102-1111
-
-
Taylor, J.M.G.1
Wang, Y.2
Thiebaut, R.3
-
29
-
-
77953957904
-
Bias formulas for sensitivity analysis for direct and indirect effect
-
VanderWeele TJ. Bias formulas for sensitivity analysis for direct and indirect effect. Epidemiology. 2010 ; 21: 540-51
-
(2010)
Epidemiology
, vol.21
, pp. 540-51
-
-
Vanderweele, T.J.1
-
30
-
-
0030470138
-
Basic methods for sensitivity analysis of biases
-
Greenland S. Basic methods for sensitivity analysis of biases. Int J Epidemiol. 1996 ; 25: 1107-16 (Pubitemid 27013514)
-
(1996)
International Journal of Epidemiology
, vol.25
, Issue.6
, pp. 1107-1116
-
-
Greenland, S.1
-
31
-
-
1442326306
-
Sensitivity analyses for unmeasured confounding assuming a marginal structural model for repeated measures
-
DOI 10.1002/sim.1657
-
Brumback BA, Hernan MA, Haneuse S, Robins JM. Sensitivity analyses for unmeasured confounding assuming a marginal structural model for repeated measures. Stat Med. 2004 ; 23: 749-67 (Pubitemid 38279511)
-
(2004)
Statistics in Medicine
, vol.23
, Issue.5
, pp. 749-767
-
-
Brumback, B.A.1
Hernan, M.A.2
Haneuse, S.J.P.A.3
Robins, J.M.4
-
32
-
-
63449107669
-
Sensitivity analysis for unmeasured confounding in a marginal structural Cox proportional hazards model
-
Klungsøyr O, Sexton J, Sandanger I, Nygard JF. Sensitivity analysis for unmeasured confounding in a marginal structural Cox proportional hazards model. Lifetime Data Anal. 2009 ; 15: 278-94
-
(2009)
Lifetime Data Anal
, vol.15
, pp. 278-94
-
-
Klungsøyr, O.1
Sexton, J.2
Sandanger, I.3
Nygard, J.F.4
-
33
-
-
19944421775
-
Improved estimation of controlled direct effects in the presence of unmeasured confounding of intermediate variables
-
DOI 10.1002/sim.2057
-
Kaufman S, Kaufman JS, MacLehose RF, et al. Improved estimation of controlled direct effects in the presence of unmeasured confounding of intermediate variables. Stat Med. 2005 ; 24: 1683-702 (Pubitemid 40754088)
-
(2005)
Statistics in Medicine
, vol.24
, Issue.11
, pp. 1683-1702
-
-
Kaufman, S.1
Kaufman, J.S.2
MacLehose, R.F.3
Greenland, S.4
Poole, C.5
-
34
-
-
49749118623
-
Bounds on direct effects in the presence of confounded intermediate variables
-
Cai Z, Kuroki M, Pearl J, Tian J. Bounds on direct effects in the presence of confounded intermediate variables. Biometrics. 2008 ; 64: 695-701
-
(2008)
Biometrics
, vol.64
, pp. 695-701
-
-
Cai, Z.1
Kuroki, M.2
Pearl, J.3
Tian, J.4
-
35
-
-
63149093174
-
Bounds on natural direct effects in the presence of confounded intermediate variables
-
Sjolander A. Bounds on natural direct effects in the presence of confounded intermediate variables. Stat Med. 2009 ; 28: 558-71
-
(2009)
Stat Med
, vol.28
, pp. 558-71
-
-
Sjolander, A.1
|