A comparison of different ways of including baseline counts in negative binomial models for data from falls prevention trials

Author:

Zheng Han1ORCID,Kimber Alan2,Goodwin Victoria A.3,Pickering Ruth M.1

Affiliation:

1. Medical Statistics Group; Faculty of Medicine; University of Southampton; Southampton England

2. Mathematical Sciences; University of Southampton; Southampton England

3. NIHR CLAHRC South West Peninsula (PenCLAHRC); University of Exeter Medical School; Exeter England

Funder

Care South West Peninsula

National Institute for Health Research

Publisher

Wiley

Subject

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

Reference13 articles.

1. Inferences and power analysis concerning two negative binomial distributions with an application to MRI lesion counts data;Aban;Computational Statistics & Data Analysis,2009

2. Saddlepoint tests for accurate and robust inference on overdispersed count data;Aeberhard;Computational Statistics & Data Analysis,2017

3. Aeberhard , W. H. 2016 robNB: Robust estimation and tests for negative binomial regression. R package version 0.2 https://github.com/williamaeberhard/robnb

4. Subgroup analysis and other (mis) uses of baseline data in clinical trials;Assmann;The Lancet,2000

5. Conditional analysis of mixed Poisson processes with baseline counts: Implications for trial design and analysis;Cook;Biostatistics (Oxford, England),2003

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