<P><STRONG>Survival Analysis with Interval-Censored Data: A Practical Approach with Examples in R, SAS, and BUGS</STRONG> provides the reader with a practical introduction into the analysis of interval-censored survival times. Although many theoretical developments have appeared in the last fifty ye
Survival Analysis with Interval-censored Data. A practical Approach with Examples in R, SAS and BUGS
โ Scribed by Kris Bogaerts, Arnoลกt Komรกrek, Emmanuel Lesaffre
- Publisher
- CRC
- Year
- 2018
- Tongue
- English
- Leaves
- 581
- Category
- Library
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
This book introduces readers to copula-based statistical methods for analyzing survival data involving dependent censoring. Primarily focusing on likelihood-based methods performed under copula models, it is the first book solely devoted to the problem of dependent censoring. The book demonstrates t
This contemporary presentation of statistical methods features extensive use of graphical displays for exploring data and for displaying the analysis. The authors demonstrate how to analyze dataโshowing code, graphics, and accompanying computer listingsโfor all the methods they cover. They emphasize
<p><P>This contemporary presentation of statistical methods features extensive use of graphical displays for exploring data and for displaying the analysis. The authors demonstrate how to analyze dataโshowing code, graphics, and accompanying computer listingsโfor all the methods they cover. They emp
<p><p>This book introduces readers to copula-based statistical methods for analyzing survival data involving dependent censoring. Primarily focusing on likelihood-based methods performed under copula models, it is the first book solely devoted to the problem of dependent censoring.</p><p>The book de