get.meta

Do not call this function on its own

internal

Dynamic path analysis with estimation of the corresponding direct, indirect, and total effects, based on Fosen et al., (2006) <doi:10.1007/s10985-006-9004-2>. The main outcome of interest is a counting process from survival analysis (or recurrent events) data. At each time of event, ordinary linear regression is used to estimate the relation between the covariates, while Aalen's additive hazard model is used for the regression of the counting process on the covariates.

Matthias Kormaksson

dpasurv

Dynamic Path Analysis of Survival Data via Aalen's Additive
Hazards Model

Novartis Pharma AG

Susanne Strohmaier

Markus Lange

David Demanse

get.meta function

<dl><dt>out.formula</dt>
<dd>Survival formula for Aalen's additive hazards model.</dd>
<dt>mediator.formulas</dt>
<dd>list of mediator regression formulas.</dd>
<dt>data</dt>
<dd>Data set in counting process format. In particular the data should contain a "start", "stop" and "event" column along with any mediators and baseline covariates.</dd></dl>

Arguments

Internal function that gathers meta data on the input to function dpa — get.meta

<dl>

<dt>out.formula</dt>
<dd>Survival formula for Aalen's additive hazards model.</dd>


<dt>mediator.formulas</dt>
<dd>list of mediator regression formulas.</dd>


<dt>data</dt>
<dd>Data set in counting process format. In particular the data should contain a "start", "stop" and "event" column along with any mediators and baseline covariates.</dd>

</dl>

get.meta: Internal function that gathers meta data on the input to function dpa

Description

Usage

Value

Arguments

Examples