On statistical tests for homogeneity of two bivariate zero-inflated poisson populations
Related Research Unit(s)
|Journal / Publication||Journal of Biopharmaceutical Statistics|
|Online published||20 Jan 2015|
|Publication status||Published - 2015|
|Link to Scopus||https://www.scopus.com/record/display.uri?eid=2-s2.0-84921487590&origin=recordpage|
The problem of testing treatment difference in the occurrence of a study endpoint in a randomized parallel-group comparative clinical trial with repeated responses under the assumption that the responses follow a bivariate zero-inflated Poisson (ZIP) distribution is considered. Likelihood ratio test for homogeneity of two bivariate ZIP populations is derived. Approximate formula for sample size calculation is also obtained, which achieves a desired power for detecting a clinically meaningful difference under an alternative hypothesis. An example concerning the comparison of treatment effect in an addictive clinical trial in terms of the number of days of illicit drug use during a month is given for illustrative purposes.
- Erosion counts, Likelihood ratio test, Sample size calculation, Zero-inflated poisson distribution
Journal of Biopharmaceutical Statistics, Vol. 25, No. 1, 2015, p. 44-53.
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
Yuen, H-K, Chow, S-C & Tse, S-K 2015, 'On statistical tests for homogeneity of two bivariate zero-inflated poisson populations', Journal of Biopharmaceutical Statistics, vol. 25, no. 1, pp. 44-53. https://doi.org/10.1080/10543406.2014.919934
Yuen H-K, Chow S-C, Tse S-K. On statistical tests for homogeneity of two bivariate zero-inflated poisson populations. Journal of Biopharmaceutical Statistics. 2015;25(1):44-53. Epub 2015 Jan 20. doi: 10.1080/10543406.2014.919934