Competing risk modeling and testing for X-chromosome genetic association-Reference-Cited by-同舟云学术

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Competing risk modeling and testing for X-chromosome genetic association

Published:2020-11 Issue: Volume:151 Page:107007
ISSN:0167-9473
Container-title:Computational Statistics & Data Analysis
language:en
Short-container-title:Computational Statistics & Data Analysis

Author:

Hao Meiling,Zhao Xingqiu,Xu Wei^ORCID

Funder

Canadian Institutes of Health Research

Research Grants Council of Hong Kong

National Natural Science Foundation of China

The Hong Kong Polytechnic University

UIBE

Publisher

Elsevier BV

Subject

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

Reference49 articles.

1. To stratify or not to stratify: power considerations for population-based genome-wide association studies of quantitative traits;Behrens;Genet. Epidemiol.,2011

2. Weighted NPMLE for the subdistribution of a competing risk;Bellach;J. Amer. Statist. Assoc.,2019

3. Time-depedent covariates in the proportional subdistribution hazards model for competing risks;Beyersmann;Biostatistics,2008

4. Expression of genes from the human active and inactive X chromosomes;Brown;American J. Med. Genet.,1997

5. Case-control single-marker and haplotypic association analysis of pedigree data;Browning;Genet. Epidemiol.,2005

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