This package is an implementation of the methodology of Shih, Lai, Heyse, and Chen (see reference below) for computing Generalized Likelihood Ratio test boundaries in pre-licensure vaccine studies
|License:||GPL (version 2 or later)|
The package provides several functions. The function
computes boundaries for testing a given p_0 versus p_1
(specified as a two-dimensional vector) given a significance level
α and a type II error β. The function
computeBoundary computes the boundary in terms of a more
understandable and usable quantity, such as the number of adverse
events in a pre-licensure vaccine study for example. It takes as input
a set of given boundaries for the GLR statistic. The third function is
plotBoundary which also takes the same arguments as
computeBoundary and produces a plot. The last two functions can
make use of statistics computed previously for the problem, which can
be specified as an argument; otherwise, the statistics are computed
Balasubramanian Narasimhan with input from Tze Lai and Mei-Chiung Shih. Maintainer: Balasubramanian Narasimhan <email@example.com>
Mei-Chiung Shih, Tze Leung Lai, Joseph F. Heyse, and Jie Chen. Sequential Generalized Likelihood Ratio Tests for Vaccine Safety Evaluation (Statistics in Medicine, Volume 29, issue 26, p.2698-2708, 2010.)
Please also consult the website http://med.stanford.edu/biostatistics/ClinicalTrialMethodology/ for further developments.
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Loading required package: ggplot2 Loading required package: shiny $b1 beta beta beta beta 2.995732 2.802585 2.302585 2.802585 2.802585 $b0  2.302585 2.995732 2.995732 2.995732 3.495732 $estimate alpha beta 0.06558493 0.12533833 estimate 0.06971572 0.06474775 estimate 0.06558493 0.12533833 estimate 0.06971572 0.06474775 estimate 0.04094917 0.06791892
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