Description Details Author(s) References Examples

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

Package: | sglr |

Type: | Package |

Version: | 0.05 |

Date: | 2010-04-20 |

License: | GPL (version 2 or later) |

LazyLoad: | yes |

The package provides several functions. The function `glrSearch`

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
from scratch.

Balasubramanian Narasimhan with input from Tze Lai and Mei-Chiung Shih. Maintainer: Balasubramanian Narasimhan <naras@stat.stanford.edu>

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
[1] 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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