km_curve

Function to print Kaplan-Meier curves

Implementation of sequential trial emulation for the analysis of observational databases.
The 'SEQTaRget' software accommodates time-varying treatments and confounders, as well as binary
and failure time outcomes. 'SEQTaRget' allows to compare both static and dynamic strategies,
can be used to estimate observational analogs of intention-to-treat
and per-protocol effects, and can adjust for potential selection bias
induced by losses-to-follow-up. (Paper to come).

Ryan O'Dea

SEQTaRget

Sequential Trial Emulation

Alejandro Szmulewicz

Tom Palmer

Miguel Hernán

The President and Fellows of Harvard College 

km_curve function

<dl><dt>object</dt>
<dd>SEQoutput object to plot</dd>
<dt>plot.type</dt>
<dd>character: type of plot to print</dd>
<dt>plot.title</dt>
<dd>character: defines the title of the plot</dd>
<dt>plot.subtitle</dt>
<dd>character: plot subtitle</dd>
<dt>plot.labels</dt>
<dd>length 2 character: plot labels</dd>
<dt>plot.colors</dt>
<dd>length 2 character: plot colors</dd></dl>

Arguments

Function to print Kaplan-Meier curves — km_curve

<dl>

<dt>object</dt>
<dd>SEQoutput object to plot</dd>


<dt>plot.type</dt>
<dd>character: type of plot to print</dd>


<dt>plot.title</dt>
<dd>character: defines the title of the plot</dd>


<dt>plot.subtitle</dt>
<dd>character: plot subtitle</dd>


<dt>plot.labels</dt>
<dd>length 2 character: plot labels</dd>


<dt>plot.colors</dt>
<dd>length 2 character: plot colors</dd>

</dl>

km_curve: Function to print Kaplan-Meier curves

Description

Usage

Value

Arguments