splitTime

<code>splitTime</code> split the analysis time into several intervals for time-varying coefficients

This model fitting tool incorporates cyclic coordinate descent and
majorization-minimization approaches to fit a variety of regression models
found in large-scale observational healthcare data. Implementations focus
on computational optimization and fine-scale parallelization to yield
efficient inference in massive datasets. Please see:
Suchard, Simpson, Zorych, Ryan and Madigan (2013) <doi:10.1145/2414416.2414791>.

Marc A Suchard

Cyclops

Cyclic Coordinate Descent for Logistic, Poisson and Survival
Analysis

Marc A. Suchard

Martijn J. Schuemie

Trevor R. Shaddox

Yuxi Tian

Jianxiao Yang

Eric Kawaguchi

Sushil Mittal

Observational Health Data Sciences and Informatics 

Marcus Geelnard

Rutgers University 

R Development Core Team 

splitTime function

<dl><dt>shortOut</dt>
<dd>A data frame containing the outcomes with predefined columns (see below).</dd>
<dt>cut</dt>
<dd>Numeric: Time points to cut at
These columns are expected in the shortOut object:<table class="table">
<tr><td><code>rowId</code></td><td>(integer)</td><td>Row ID is used to link multiple covariates (x) to a single outcome (y)</td></tr>
<tr><td><code>y</code></td><td>(real)</td><td>Observed event status</td></tr>
<tr><td><code>time</code></td><td>(real)</td><td>Observed event time</td></tr>
</table>
</dd></dl>

Arguments

Split the analysis time into several intervals for time-varying coefficients. — splitTime

<dl>

<dt>shortOut</dt>
<dd>A data frame containing the outcomes with predefined columns (see below).</dd>


<dt>cut</dt>
<dd>Numeric: Time points to cut at
These columns are expected in the shortOut object:<table class='table'>
<tr><td><code>rowId</code></td><td>(integer)</td><td>Row ID is used to link multiple covariates (x) to a single outcome (y)</td></tr>
<tr><td><code>y</code></td><td>(real)</td><td>Observed event status</td></tr>
<tr><td><code>time</code></td><td>(real)</td><td>Observed event time</td></tr>
</table>
</dd>

</dl>

Split the analysis time into several intervals for time-varying coefficients.

splitTime: Split the analysis time into several intervals for time-varying coefficients.

Description

Usage

Value

Arguments

`rowId`	(integer)	Row ID is used to link multiple covariates (x) to a single outcome (y)
`y`	(real)	Observed event status
`time`	(real)	Observed event time