Sample size calculation for the Andersen‐Gill model comparing rates of recurrent events

Recurrent events arise frequently in biomedical research, where the subject may experience the same type of events more than once. The Andersen‐Gill (AG) model has become increasingly popular in the analysis of recurrent events particularly when the event rate is not constant over time. We propose a...

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Bibliographic Details
Published inStatistics in medicine Vol. 38; no. 24; pp. 4819 - 4827
Main Authors Tang, Yongqiang, Fitzpatrick, Ronan
Format Journal Article
LanguageEnglish
Published England Wiley Subscription Services, Inc 30.10.2019
Subjects
mixed Poisson process
noninferiority and equivalence trials
overdispersion
proportional rates/means model
Sample size
sandwich variance
mixed Poisson process
sandwich variance
noninferiority and equivalence trials
proportional rates/means model
overdispersion
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Summary:Recurrent events arise frequently in biomedical research, where the subject may experience the same type of events more than once. The Andersen‐Gill (AG) model has become increasingly popular in the analysis of recurrent events particularly when the event rate is not constant over time. We propose a procedure for calculating the power and sample size for the robust Wald test from the AG model in superiority, noninferiority, and equivalence clinical trials. Its performance is demonstrated by numerical examples. Sample SAS code is provided in the Supplementary Material.
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ISSN:0277-6715
1097-0258
1097-0258
DOI:10.1002/sim.8335