cardSim

This dataset was created to demonstrate the effects of Local Control on correcting bias within a set of data.

data

Implements novel nonparametric approaches to address
biases and confounding when comparing treatments or exposures in
observational studies of outcomes. While designed and appropriate for use
in studies involving medicine and the life sciences, the package can be
used in other situations involving outcomes with multiple confounders.
The package implements a family of methods for non-parametric bias correction
when comparing treatments in observational studies, including survival
analysis settings, where competing risks and/or censoring may be present.
The approach extends to bias-corrected personalized predictions of treatment
outcome differences, and analysis of heterogeneity of treatment effect-sizes
across patient subgroups. For further details, please see:
Lauve NR, Nelson SJ, Young SS, Obenchain RL, Lambert CG. LocalControl:
An R Package for Comparative Safety and Effectiveness Research.
Journal of Statistical Software. 2020. p. 1<e2><80><93>32. Available from <doi:10.18637/jss.v096.i04>.

Christophe Lambert

LocalControl

Nonparametric Methods for Generating High Quality Comparative
Effectiveness Evidence

Nicolas R. Lauve

Stuart J. Nelson

S. Stanley Young

Robert L. Obenchain

Melania Pintilie

Martin Kutz

Christophe G. Lambert

cardSim function

A data frame with 1000 rows and 6 columns:<dl class="dl-horizontal">
 <dt>id</dt><dd>Unique identifier for each row.</dd>
 <dt>time</dt><dd>Time in years to the outcome specified by status.</dd>
 <dt>status</dt><dd>1 if the patient experienced cardiac arrest. 0 if censored before that.</dd>
 <dt>drug</dt><dd>Medication the patient received for cardiac health (drug 1 or drug 0).</dd>
 <dt>age</dt><dd>Age of the patient, ranges from 18 to 65 years.</dd>
 <dt>bmi</dt><dd>Patient body mass index. Majority of observations fall between 22 and 30.</dd>
</dl>

Format

Simulated cardiac medication data for survival analysis — cardSim

A data frame with 1000 rows and 6 columns:<dl class='dl-horizontal'>
 <dt>id</dt><dd>Unique identifier for each row.</dd>
 <dt>time</dt><dd>Time in years to the outcome specified by status.</dd>
 <dt>status</dt><dd>1 if the patient experienced cardiac arrest. 0 if censored before that.</dd>
 <dt>drug</dt><dd>Medication the patient received for cardiac health (drug 1 or drug 0).</dd>
 <dt>age</dt><dd>Age of the patient, ranges from 18 to 65 years.</dd>
 <dt>bmi</dt><dd>Patient body mass index. Majority of observations fall between 22 and 30.</dd>
</dl>

Simulated cardiac medication data for survival analysis

cardSim: Simulated cardiac medication data for survival analysis

Description

Arguments

Format