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Clinical Trials (London, England)
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June 12, 2019
A constructive critique of the <i>draft</i> ICH E9 Addendum
Daniel O Scharfstein
Statistical Methods in Medical Research
|
March 21, 2018
Global sensitivity analysis of clinical trials with missing patient-reported outcomes
Daniel O Scharfstein, Aidan McDermott
Epidemiologic Reviews
|
October 19, 2022
Randomized Trials With Repeatedly Measured Outcomes: Handling Irregular and Potentially Informative Assessment Times
Eleanor M Pullenayegum, Daniel O Scharfstein
Biometrics
|
November 7, 2003
Generalized additive selection models for the analysis of studies with potentially nonignorable missing outcome data
Daniel O Scharfstein, Rafael A Irizarry
Statistical Methods in Medical Research
|
April 18, 2006
Estimating causal effects from multiple cycle data in studies of in vitro fertilization
Joseph W Hogan, Daniel O Scharfstein
The Journal of Bone and Joint Surgery. American Volume
|
July 20, 2012
On the prevention and analysis of missing data in randomized clinical trials: the state of the art
Daniel O Scharfstein, Joseph Hogan, Amir Herman
Statistics in Medicine
|
September 26, 2006
Survival curve estimation for informatively coarsened discrete event-time data
Michelle Shardell, Daniel O Scharfstein, Samuel A Bozzette
Biometrics
|
September 2, 2008
On estimation of the survivor average causal effect in observational studies when important confounders are missing due to death
Brian L Egleston, Daniel O Scharfstein, Ellen MacKenzie
Statistics in Medicine
|
October 19, 2007
Accounting for within-patient correlation in assessing relative sensitivity of an adjunctive diagnostic test: application to lung cancer
Daniel O Scharfstein, Jennifer L Ryea, Brian Caffo
Statistics in Medicine
|
September 2, 2008
Inference for cumulative incidence functions with informatively coarsened discrete event-time data
Michelle Shardell, Daniel O Scharfstein, David Vlahov, et al.
Page
of 9
Search research articles
Search
Showing results (1-10 of 84) with videos related to
Sort By:
Page
of 9
Clinical Trials (London, England)
|
June 12, 2019
A constructive critique of the <i>draft</i> ICH E9 Addendum
Daniel O Scharfstein
Statistical Methods in Medical Research
|
March 21, 2018
Global sensitivity analysis of clinical trials with missing patient-reported outcomes
Daniel O Scharfstein, Aidan McDermott
Epidemiologic Reviews
|
October 19, 2022
Randomized Trials With Repeatedly Measured Outcomes: Handling Irregular and Potentially Informative Assessment Times
Eleanor M Pullenayegum, Daniel O Scharfstein
Biometrics
|
November 7, 2003
Generalized additive selection models for the analysis of studies with potentially nonignorable missing outcome data
Daniel O Scharfstein, Rafael A Irizarry
Statistical Methods in Medical Research
|
April 18, 2006
Estimating causal effects from multiple cycle data in studies of in vitro fertilization
Joseph W Hogan, Daniel O Scharfstein
The Journal of Bone and Joint Surgery. American Volume
|
July 20, 2012
On the prevention and analysis of missing data in randomized clinical trials: the state of the art
Daniel O Scharfstein, Joseph Hogan, Amir Herman
Statistics in Medicine
|
September 26, 2006
Survival curve estimation for informatively coarsened discrete event-time data
Michelle Shardell, Daniel O Scharfstein, Samuel A Bozzette
Biometrics
|
September 2, 2008
On estimation of the survivor average causal effect in observational studies when important confounders are missing due to death
Brian L Egleston, Daniel O Scharfstein, Ellen MacKenzie
Statistics in Medicine
|
October 19, 2007
Accounting for within-patient correlation in assessing relative sensitivity of an adjunctive diagnostic test: application to lung cancer
Daniel O Scharfstein, Jennifer L Ryea, Brian Caffo
Statistics in Medicine
|
September 2, 2008
Inference for cumulative incidence functions with informatively coarsened discrete event-time data
Michelle Shardell, Daniel O Scharfstein, David Vlahov, et al.
Page
of 9