By Mai Zhou
Add the Empirical chance in your Nonparametric Toolbox
Empirical probability approach in Survival Analysis explains the best way to use the empirical chance procedure for correct censored survival info. the writer makes use of R for calculating empirical chance and contains many labored out examples with the linked R code. The datasets and code can be found for obtain on his site and CRAN.
The publication makes a speciality of the entire regular survival research themes handled with empirical chance, together with possibility services, cumulative distribution features, research of the Cox version, and computation of empirical probability for censored information. It additionally covers semi-parametric sped up failure time versions, the optimality of self belief areas derived from empirical chance or plug-in empirical probability ratio assessments, and several other empirical chance self assurance band results.
While survival research is a vintage region of statistical learn, the empirical probability technique has only in the near past been built. formerly, only one publication was once on hand on empirical probability and so much statistical software program didn't contain empirical chance tactics. Addressing this shortfall, this publication presents the services to calculate the empirical probability ratio in survival research in addition to capabilities on the topic of the empirical chance research of the Cox regression version and different possibility regression models.
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Extra info for Empirical Likelihood Method in Survival Analysis (Chapman & Hall/CRC Biostatistics Series)
Empirical Likelihood Method in Survival Analysis (Chapman & Hall/CRC Biostatistics Series) by Mai Zhou