Goodness-of-fit test of the stratified mark-specific proportional hazards model with continuous mark-Reference-Cited by-同舟云学术

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Goodness-of-fit test of the stratified mark-specific proportional hazards model with continuous mark

Published:2016-01 Issue: Volume:93 Page:348-358
ISSN:0167-9473
Container-title:Computational Statistics & Data Analysis
language:en
Short-container-title:Computational Statistics & Data Analysis

Author:

Sun Yanqing,Li Mei,Gilbert Peter B.

Funder

NIAID

National Science Foundation

University of North Carolina

National Institutes of Health Division of AIDS

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computational Mathematics,Statistics and Probability

Reference24 articles.

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2. Efficacy assessment of a cell-mediated immunity HIV-1 vaccine (the Step Study): a double-blind, randomised, placebo-controlled, test-of-concept trial;Buchbinder;Lancet,2008

3. Sensitive quantitative predictions of peptide-MHC binding by a ‘Query by Committee’ artificial neural network approach;Buus;Tissue Antigens,2003

4. Progressively Type-II censored competing risks data from Lomax distributions;Cramer;Comput. Statist. Data Anal.,2011

5. Analysis of dependent competing risks in the presence of progressive hybrid censoring using Marshall–Olkin bivariate Weibull distribution;Feizjavadian;Comput. Statist. Data Anal.,2015

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2. A hybrid approach for the stratified mark‐specific proportional hazards model with missing covariates and missing marks, with application to vaccine efficacy trials;Journal of the Royal Statistical Society: Series C (Applied Statistics);2020-05-22

3. Identification of local sparsity and variable selection for varying coefficient additive hazards models;Computational Statistics & Data Analysis;2018-09

4. Estimation of Stratified Mark-Specific Proportional Hazards Models Under Two-Phase Sampling with Application to HIV Vaccine Efficacy Trials;Statistics in Biosciences;2017-06

5. Mark-specific additive hazards regression with continuous marks;Lifetime Data Analysis;2016-05-11

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