476 related articles for article (PubMed ID: 26426943)
21. The missing cause approach to unmeasured confounding in pharmacoepidemiology.
Abrahamowicz M; Bjerre LM; Beauchamp ME; LeLorier J; Burne R
Stat Med; 2016 Mar; 35(7):1001-16. PubMed ID: 26932124
[TBL] [Abstract][Full Text] [Related]
22. Effects of categorization method, regression type, and variable distribution on the inflation of Type-I error rate when categorizing a confounding variable.
Barnwell-Ménard JL; Li Q; Cohen AA
Stat Med; 2015 Mar; 34(6):936-49. PubMed ID: 25504513
[TBL] [Abstract][Full Text] [Related]
23. Bayesian sensitivity analysis for unmeasured confounding in observational studies.
McCandless LC; Gustafson P; Levy A
Stat Med; 2007 May; 26(11):2331-47. PubMed ID: 16998821
[TBL] [Abstract][Full Text] [Related]
24. Fallibility in estimating direct effects.
Cole SR; Hernán MA
Int J Epidemiol; 2002 Feb; 31(1):163-5. PubMed ID: 11914314
[TBL] [Abstract][Full Text] [Related]
25. Identification of natural direct effects when a confounder of the mediator is directly affected by exposure.
Tchetgen Tchetgen EJ; Vanderweele TJ
Epidemiology; 2014 Mar; 25(2):282-91. PubMed ID: 24487211
[TBL] [Abstract][Full Text] [Related]
26. The impact of unmeasured within- and between-cluster confounding on the bias of effect estimatorsof a continuous exposure.
Li Y; Lee Y; Port FK; Robinson BM
Stat Methods Med Res; 2020 Aug; 29(8):2119-2139. PubMed ID: 31694489
[TBL] [Abstract][Full Text] [Related]
27. Fixed effects analysis of repeated measures data.
Gunasekara FI; Richardson K; Carter K; Blakely T
Int J Epidemiol; 2014 Feb; 43(1):264-9. PubMed ID: 24366487
[TBL] [Abstract][Full Text] [Related]
28. Improved estimation of controlled direct effects in the presence of unmeasured confounding of intermediate variables.
Kaufman S; Kaufman JS; MacLehose RF; Greenland S; Poole C
Stat Med; 2005 Jun; 24(11):1683-702. PubMed ID: 15742358
[TBL] [Abstract][Full Text] [Related]
29. Conditions for confounding of interactions.
Liu A; Abrahamowicz M; Siemiatycki J
Pharmacoepidemiol Drug Saf; 2016 Mar; 25(3):287-96. PubMed ID: 26676843
[TBL] [Abstract][Full Text] [Related]
30. Correcting for Measurement Error in Time-Varying Covariates in Marginal Structural Models.
Kyle RP; Moodie EE; Klein MB; Abrahamowicz M
Am J Epidemiol; 2016 Aug; 184(3):249-58. PubMed ID: 27416840
[TBL] [Abstract][Full Text] [Related]
31. Mediational E-values: Approximate Sensitivity Analysis for Unmeasured Mediator-Outcome Confounding.
Smith LH; VanderWeele TJ
Epidemiology; 2019 Nov; 30(6):835-837. PubMed ID: 31348008
[TBL] [Abstract][Full Text] [Related]
32. Bias in estimating the causal hazard ratio when using two-stage instrumental variable methods.
Wan F; Small D; Bekelman JE; Mitra N
Stat Med; 2015 Jun; 34(14):2235-65. PubMed ID: 25800789
[TBL] [Abstract][Full Text] [Related]
33. How unmeasured confounding in a competing risks setting can affect treatment effect estimates in observational studies.
Barrowman MA; Peek N; Lambie M; Martin GP; Sperrin M
BMC Med Res Methodol; 2019 Jul; 19(1):166. PubMed ID: 31366331
[TBL] [Abstract][Full Text] [Related]
34. A sensitivity analysis using information about measured confounders yielded improved uncertainty assessments for unmeasured confounding.
McCandless LC; Gustafson P; Levy AR
J Clin Epidemiol; 2008 Mar; 61(3):247-55. PubMed ID: 18226747
[TBL] [Abstract][Full Text] [Related]
35. Analytic results on the bias due to nondifferential misclassification of a binary mediator.
Ogburn EL; VanderWeele TJ
Am J Epidemiol; 2012 Sep; 176(6):555-61. PubMed ID: 22930481
[TBL] [Abstract][Full Text] [Related]
36. Doubly robust estimators of causal exposure effects with missing data in the outcome, exposure or a confounder.
Williamson EJ; Forbes A; Wolfe R
Stat Med; 2012 Dec; 31(30):4382-400. PubMed ID: 23086504
[TBL] [Abstract][Full Text] [Related]
37. Bias formulas for sensitivity analysis for direct and indirect effects.
VanderWeele TJ
Epidemiology; 2010 Jul; 21(4):540-51. PubMed ID: 20479643
[TBL] [Abstract][Full Text] [Related]
38. Bayesian modeling of cost-effectiveness studies with unmeasured confounding: a simulation study.
Stamey JD; Beavers DP; Faries D; Price KL; Seaman JW
Pharm Stat; 2014; 13(1):94-100. PubMed ID: 24446072
[TBL] [Abstract][Full Text] [Related]
39. Assessing Omitted Confounder Bias in Multilevel Mediation Models.
Tofighi D; Kelley K
Multivariate Behav Res; 2016; 51(1):86-105. PubMed ID: 26881959
[TBL] [Abstract][Full Text] [Related]
40. A general approach to evaluating the bias of 2-stage instrumental variable estimators.
Wan F; Small D; Mitra N
Stat Med; 2018 May; 37(12):1997-2015. PubMed ID: 29572890
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]