Synthesizing secondary data into survival analysis to improve estimation efficiency-Reference-Cited by-同舟云学术

Synthesizing secondary data into survival analysis to improve estimation efficiency

Published:2022-10-03 Issue:3 Volume:65 Page:2100326
ISSN:0323-3847
Container-title:Biometrical Journal
language:en
Short-container-title:Biometrical J

Author:

Chen Chixiang¹²^ORCID,Yu Tonghui³,Shen Biyi⁴^ORCID,Wang Ming⁵^ORCID

Affiliation:

1. Division of Biostatistics and Bioinformatics Department of Epidemiology and Public Health University of Maryland School of Medicine Baltimore Maryland USA

2. Department of Neurosurgery University of Maryland School of Medicine Baltimore Maryland USA

3. School of Mathematics Hefei University of Technology Anhui China

4. Bristol Myers Squibb Lawrence Township New Jersey U.S.A

5. Department of Population and Quantitative Health Sciences School of Medicine, Case Western Reserve university Cleveland Ohio USA

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,General Medicine,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/bimj.202100326

Reference45 articles.

1. Depression and Risk of Heart Failure Among Older Persons With Isolated Systolic Hypertension

2. Survival analysis of heart failure patients: A case study

3. Cox's Regression Model for Counting Processes: A Large Sample Study

4. Introduction to the Analysis of Survival Data in the Presence of Competing Risks

5. Aspirin Use and Survival After Diagnosis of Colorectal Cancer

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1. Multiple-Model-based Robust Estimation of Causal Treatment Effect on a Binary Outcome with Integrated Information from Secondary Outcomes;The American Statistician;2023-08-21

2. An Efficient Data Integration Scheme for Synthesizing Information from Multiple Secondary Datasets for the Parameter Inference of the Main Analysis;Biometrics;2023-03-24