D
David M. Zucker
Researcher at Hebrew University of Jerusalem
Publications - 97
Citations - 5113
David M. Zucker is an academic researcher from Hebrew University of Jerusalem. The author has contributed to research in topics: Estimator & Covariate. The author has an hindex of 32, co-authored 93 publications receiving 4751 citations. Previous affiliations of David M. Zucker include NewYork–Presbyterian Hospital & DECA.
Papers
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Journal ArticleDOI
Effect of coronary artery bypass graft surgery on survival: overview of 10-year results from randomised trials by the Coronary Artery Bypass Graft Surgery Trialists Collaboration.
Salim Yusuf,Salim Yusuf,David M. Zucker,David M. Zucker,E Passamani,P Peduzzi,T Takaro,Lloyd D. Fisher,J W Kennedy,Kathryn B. Davis,T Killip,Norris R,C Morris,V Mathur,Varnauskas Ed,Thomas C. Chalmers +15 more
TL;DR: A strategy of initial CABG surgery is associated with lower mortality than one of medical management with delayed surgery if necessary, especially in high-risk and medium- risk patients with stable coronary heart disease, and in low-risk patients, the limited data show a non-significant trend towards greater mortality with CABGs.
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On the Cox Model With Time-Varying Regression Coefficients
TL;DR: In this paper, a simple estimation procedure for the Cox model with time-varying coefficients based on a kernel-weighted partial likelihood approach was proposed, and the authors derived a prediction method for future patients' survival with any specific set of covariates.
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Nonparametric Survival Analysis with Time-Dependent Covariate Effects: A Penalized Partial Likelihood Approach
David M. Zucker,Alan F. Karr +1 more
TL;DR: In this article, a Cox-regression-like model for nonparametric analysis of data under a time-dependent covariate effects determined by a regression function is presented and a computational approach is outlined.
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Internal pilot studies II: comparison of various procedures
TL;DR: A comparison among the first three procedures indicates that the Stein test is, unexpectedly, the test of choice under the original design alternative, whereas the approximate-optimal and Wittes-Brittain procedures appear to have superior power for detecting smaller treatment differences.
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Restricted Mean Life with Covariates: Modification and Extension of a Useful Survival Analysis Method
TL;DR: In this article, a simplified procedure for implementing Karrison's basic approach, along with an extended version designed to achieve robustness against misspecification in the underlying analytical model, is presented, and the techniques are illustrated with an example taken from Karrison.