familyclusterWithProbands.index

second column of pairs are the probands and the first column the related subjects

Implementation of various statistical models for multivariate
event history data <doi:10.1007/s10985-013-9244-x>. Including multivariate
cumulative incidence models <doi:10.1002/sim.6016>, and bivariate random
effects probit models (Liability models) <doi:10.1016/j.csda.2015.01.014>.
Also contains two-stage binomial modelling that can do pairwise odds-ratio
dependence modelling based marginal logistic regression models. This is an
alternative to the alternating logistic regression approach (ALR).

Klaus Holst

mets

Analysis of Multivariate Event Times

Klaus K. Holst

Thomas Scheike 

familyclusterWithProbands.index function

<dl><dt>clusters</dt>
<dd>list of indeces giving the clusters (families)</dd>
<dt>probands</dt>
<dd>list of 0,1 where 1 specifices which of the subjects that are probands</dd>
<dt>index.type</dt>
<dd>argument passed to other functions</dd>
<dt>num</dt>
<dd>argument passed to other functions</dd>
<dt>Rindex</dt>
<dd>index starts with 1, in C is it is 0</dd></dl>

Arguments

Author

Finds all pairs within a cluster (famly)  with the proband (case/control) — familyclusterWithProbands.index

<dl>

<dt>clusters</dt>
<dd>list of indeces giving the clusters (families)</dd>


<dt>probands</dt>
<dd>list of 0,1 where 1 specifices which of the subjects that are probands</dd>


<dt>index.type</dt>
<dd>argument passed to other functions</dd>


<dt>num</dt>
<dd>argument passed to other functions</dd>


<dt>Rindex</dt>
<dd>index starts with 1, in C is it is 0</dd>

</dl>

familyclusterWithProbands.index: Finds all pairs within a cluster (famly) with the proband (case/control)

Description

Usage

Arguments

Author

References

See Also

Examples