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American Journal of Epidemiology
|
May 27, 2014
Lack of identification in semiparametric instrumental variable models with binary outcomes
Stephen Burgess, Raquel Granell, Tom M Palmer, et al.
American Journal of Epidemiology
|
August 2, 2012
Re: "credible mendelian randomization studies: approaches for evaluating the instrumental variable assumptions"
Tom M Palmer, Roland R Ramsahai, Debbie A Lawlor, et al.
Clinical Epidemiology
|
November 5, 2021
Avoiding Time-Related Biases: A Feasibility Study on Antidiabetic Drugs and Pancreatic Cancer Applying the Parametric g-Formula to a Large German Healthcare Database
Claudia Börnhorst, Tammo Reinders, Wolfgang Rathmann, et al.
Biometrical Journal. Biometrische Zeitschrift
|
February 20, 2019
Time-dependent mediators in survival analysis: Modeling direct and indirect effects with the additive hazards model
Odd O Aalen, Mats J Stensrud, Vanessa Didelez, et al.
American Journal of Epidemiology
|
May 4, 2023
Considering Questions Before Methods in Dementia Research With Competing Events and Causal Goals
L Paloma Rojas-Saunero, Jessica G Young, Vanessa Didelez, et al.
International Journal of Epidemiology
|
July 18, 2022
Interpretation of Mendelian randomization using a single measure of an exposure that varies over time
Tim T Morris, Jon Heron, Eleanor C M Sanderson, et al.
Statistics in Medicine
|
October 20, 2012
Severity of bias of a simple estimator of the causal odds ratio in Mendelian randomization studies
Roger M Harbord, Vanessa Didelez, Tom M Palmer, et al.
The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences
|
March 4, 2023
Examining the Causal Mediating Role of Cardiovascular Disease on the Effect of Subclinical Cardiovascular Disease on Cognitive Impairment via Separable Effects
Ryan M Andrews, Ilya Shpitser, Vanessa Didelez, et al.
Lifetime Data Analysis
|
September 1, 2021
A generalized theory of separable effects in competing event settings
Mats J Stensrud, Miguel A Hernán, Eric J Tchetgen Tchetgen, et al.
Journal of Clinical Epidemiology
|
June 21, 2023
Multiple imputation of missing data under missing at random: compatible imputation models are not sufficient to avoid bias if they are mis-specified
Elinor Curnow, James R Carpenter, Jon E Heron, et al.
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of 5
Search research articles
Search
Showing results (31-40 of 50) with videos related to
Sort By:
Page
of 5
American Journal of Epidemiology
|
May 27, 2014
Lack of identification in semiparametric instrumental variable models with binary outcomes
Stephen Burgess, Raquel Granell, Tom M Palmer, et al.
American Journal of Epidemiology
|
August 2, 2012
Re: "credible mendelian randomization studies: approaches for evaluating the instrumental variable assumptions"
Tom M Palmer, Roland R Ramsahai, Debbie A Lawlor, et al.
Clinical Epidemiology
|
November 5, 2021
Avoiding Time-Related Biases: A Feasibility Study on Antidiabetic Drugs and Pancreatic Cancer Applying the Parametric g-Formula to a Large German Healthcare Database
Claudia Börnhorst, Tammo Reinders, Wolfgang Rathmann, et al.
Biometrical Journal. Biometrische Zeitschrift
|
February 20, 2019
Time-dependent mediators in survival analysis: Modeling direct and indirect effects with the additive hazards model
Odd O Aalen, Mats J Stensrud, Vanessa Didelez, et al.
American Journal of Epidemiology
|
May 4, 2023
Considering Questions Before Methods in Dementia Research With Competing Events and Causal Goals
L Paloma Rojas-Saunero, Jessica G Young, Vanessa Didelez, et al.
International Journal of Epidemiology
|
July 18, 2022
Interpretation of Mendelian randomization using a single measure of an exposure that varies over time
Tim T Morris, Jon Heron, Eleanor C M Sanderson, et al.
Statistics in Medicine
|
October 20, 2012
Severity of bias of a simple estimator of the causal odds ratio in Mendelian randomization studies
Roger M Harbord, Vanessa Didelez, Tom M Palmer, et al.
The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences
|
March 4, 2023
Examining the Causal Mediating Role of Cardiovascular Disease on the Effect of Subclinical Cardiovascular Disease on Cognitive Impairment via Separable Effects
Ryan M Andrews, Ilya Shpitser, Vanessa Didelez, et al.
Lifetime Data Analysis
|
September 1, 2021
A generalized theory of separable effects in competing event settings
Mats J Stensrud, Miguel A Hernán, Eric J Tchetgen Tchetgen, et al.
Journal of Clinical Epidemiology
|
June 21, 2023
Multiple imputation of missing data under missing at random: compatible imputation models are not sufficient to avoid bias if they are mis-specified
Elinor Curnow, James R Carpenter, Jon E Heron, et al.
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of 5