A comparison of three families of survival distributions for quantal response data
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
| Original language | English |
|---|---|
| Pages (from-to) | 253-264 |
| Journal / Publication | Journal of Biopharmaceutical Statistics |
| Volume | 16 |
| Issue number | 2 |
| Publication status | Published - Mar 2006 |
Link(s)
Abstract
In clinical studies, it is common to search for a suitable distribution function to model the survival pattern of test subjects after a treatment is administered to them. Though many distributions have appeared in the statistical literature, this study explores a family of three-parameter distributions, namely, the exponentiated Weibull family, and compares its performance with the other two popular families. Results suggest that the three families show similar performance. Three data sets, which are published in the literature, are reanalysed for illustration purposes. Copyright © Taylor & Francis Group, LLC.
Research Area(s)
- Exponentiated Weibull distribution, Maximum likelihood estimation, Power logistic model, Quantal response data, Skewness, Survival distribution
Citation Format(s)
A comparison of three families of survival distributions for quantal response data. / Siu, Keung Tse; Hak, Keung Yuen.
In: Journal of Biopharmaceutical Statistics, Vol. 16, No. 2, 03.2006, p. 253-264.Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
