poly3table

Function to summarize data of long term carcinogenicity trials in a text format.
 Data are assumed to consist of (1) a dichotomous variable, 
 defining whether the tumour of interest was present in an individual animal at time of death,
 and (2) a numeric variable containing the time of death of an individual animal,
 and (3) a grouping factor.

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Multiple contrast tests and simultaneous confidence
intervals based on normal approximation. With implementations for
binomial proportions in a 2xk setting (risk difference and odds ratio),
poly-3-adjusted tumour rates, biodiversity indices (multinomial data)
and expected values under lognormal assumption. Approximative power
calculation for multiple contrast tests of binomial and Gaussian data.

Frank Schaarschmidt

MCPAN

Multiple Comparisons Using Normal Approximation

Daniel Gerhard

Martin Sill

poly3table function

<dl> <dt>time</dt>
<dd>a numeric vector, containing the time of death of an individual</dd> <dt>status</dt>
<dd>a logical (or dichotomous categorical) vector</dd> <dt>f</dt>
<dd>a factor, specifying treatment groups</dd> <dt>tumour</dt>
<dd>the value which <kbd>status</kbd> obtains if a tumour is present in an individual at time of death</dd> <dt>symbol</dt>
<dd>symbol to indicate presence of tumour in the text representation</dd></dl>

Arguments

Author

Summarize long term carcinogenicity data — poly3table

<dl>

 <dt>time</dt>
<dd>a numeric vector, containing the time of death of an individual</dd>

 <dt>status</dt>
<dd>a logical (or dichotomous categorical) vector</dd>

 <dt>f</dt>
<dd>a factor, specifying treatment groups</dd>

 <dt>tumour</dt>
<dd>the value which <kbd>status</kbd> obtains if a tumour is present in an individual at time of death</dd>

 <dt>symbol</dt>
<dd>symbol to indicate presence of tumour in the text representation</dd>

</dl>

poly3table: Summarize long term carcinogenicity data

Description

Usage

Value

Arguments

Author

Examples