By Mai Zhou
Add the Empirical probability on your Nonparametric Toolbox
Empirical probability technique in Survival Analysis explains tips to use the empirical probability procedure for correct censored survival info. the writer makes use of R for calculating empirical probability 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 booklet makes a speciality of the entire general survival research subject matters handled with empirical probability, together with danger features, cumulative distribution features, research of the Cox version, and computation of empirical chance for censored info. It additionally covers semi-parametric sped up failure time versions, the optimality of self belief areas derived from empirical probability or plug-in empirical probability ratio exams, and several other empirical chance self belief band results.
While survival research is a vintage region of statistical learn, the empirical probability technique has just recently been constructed. beforehand, only one e-book used to be on hand on empirical probability and such a lot statistical software program didn't comprise empirical chance approaches. Addressing this shortfall, this booklet offers the capabilities to calculate the empirical chance ratio in survival research in addition to features relating to the empirical chance research of the Cox regression version and different chance 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