A pseudo‐likelihood method for estimating misclassification probabilities in competing‐risks settings when true‐event data are partially observed-Reference-Cited by-同舟云学术

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A pseudo‐likelihood method for estimating misclassification probabilities in competing‐risks settings when true‐event data are partially observed

Published:2020-06-10 Issue:7 Volume:62 Page:1747-1768
ISSN:0323-3847
Container-title:Biometrical Journal
language:en
Short-container-title:Biometrical Journal

Author:

Mpofu Philani B.¹^ORCID,Bakoyannis Giorgos¹,Yiannoutsos Constantin T.¹,Mwangi Ann W.²,Mburu Margaret³

Affiliation:

1. Department of Biostatistics Indiana University Richard M. Fairbanks School of Public Health Indianapolis IN USA

2. Department of Behavioral Science School of Medicine Moi University Kenya

3. Family AIDS Care and Education Services (FACES) Research Care and Training Program (RCTP), Kenya Medical Research Institute (KEMRI) Kisumu Kenya

Funder

NIH Clinical Center

Division of Intramural Research, National Institute of Allergy and Infectious Diseases

National Institutes of Health

United States Agency for International Development

Publisher

Wiley

Subject

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

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/bimj.201900198

Reference41 articles.

1. The Need for Double-Sampling Designs in Survival Studies: An Application to Monitor PEPFAR

2. Modelling competing risks data with missing cause of failure

3. Practical methods for competing risks data: A review

4. Impact of and Correction for Outcome Misclassification in Cumulative Incidence Estimation

5. Nonparametric inference for Markov processes with missing absorbing state;Bakoyannis G.;Statistica Sinica,2019

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