Power and sample size calculations for Poisson and zero-inflated Poisson regression models
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Publication:1623414
DOI10.1016/J.CSDA.2013.09.029zbMath1506.62036OpenAlexW1964836301MaRDI QIDQ1623414
Marc Fredette, Nabil Channouf, K. Brenda MacGibbon
Publication date: 23 November 2018
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2013.09.029
Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Parametric hypothesis testing (62F03) Generalized linear models (logistic models) (62J12)
Related Items (3)
Sample size calculation based on discrete Weibull and zero-inflated discrete Weibull regression models ⋮ Sample size calculations for hierarchical Poisson and zero-inflated Poisson regression models ⋮ Sample size for clustered count data based on discrete Weibull regression model
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- Zero‐Inflated Poisson and Binomial Regression with Random Effects: A Case Study
- On Power and Sample Size Calculations for Likelihood Ratio Tests in Generalized Linear Models
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