Sample size estimation using a latent variable model for mixed outcome co‐primary, multiple primary and composite endpoints-Reference-Cited by-同舟云学术

Sample size estimation using a latent variable model for mixed outcome co‐primary, multiple primary and composite endpoints

Published:2022-02-23 Issue:13 Volume:41 Page:2303-2316
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statistics in Medicine

Author:

McMenamin Martina E.¹²^ORCID,Barrett Jessica K.¹,Berglind Anna³,Wason James M. S.¹⁴^ORCID

Affiliation:

1. MRC Biostatistics Unit University of Cambridge Cambridge UK

2. WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health The University of Hong Kong Hong Kong Special Administrative Region China

3. Late Respiratory & Immunology, Biometrics, BioPharmaceuticals R& D AstraZeneca Gothenburg Sweden

4. Population Health Sciences Institute Newcastle University Newcastle upon Tyne UK

Funder

Medical Research Council Canada

NIHR Cambridge Biomedical Research Centre

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.9356

Reference42 articles.

1. Statistics and ethics in medical research: III How large a sample?

2. Statistical Power, Sample Size, and Their Reporting in Randomized Controlled Trials

3. Sample Size Calculations for Randomized Controlled Trials

4. The win ratio: a new approach to the analysis of composite endpoints in clinical trials based on clinical priorities

5. Multi-Variate Probit Analysis

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