internal.plot

internal

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 

internal.plot function

<dl><dt>survival.data</dt>
<dd>Dataframe containing survival information</dd>
<dt>params</dt>
<dd>Params passed around SEQuential</dd></dl>

Arguments

Plotting for survival curves — internal.plot

<dl>

<dt>survival.data</dt>
<dd>Dataframe containing survival information</dd>


<dt>params</dt>
<dd>Params passed around SEQuential</dd>

</dl>

Plotting for survival curves

internal.plot: Plotting for survival curves

Description

Usage

Arguments