cut_data_by_date

Cut a dataset for analysis at a specified date

Provides some basic routines for simulating a
clinical trial. The primary intent is to provide some tools to
generate trial simulations for trials with time to event outcomes.
Piecewise exponential failure rates and piecewise constant
enrollment rates are the underlying mechanism used to simulate
a broad range of scenarios such as those presented in
Lin et al. (2020) <doi:10.1080/19466315.2019.1697738>.
However, the basic generation of data is done using pipes to allow
maximum flexibility for users to meet different needs.

Yujie Zhao

simtrial

Clinical Trial Simulation

Keaven Anderson

John Blischak

Nan Xiao

Yilong Zhang

Jianxiao Yang

Lili Ling

Xintong Li

Ruixue Wang

Yi Cui

Ping Yang

Yalin Zhu

Heng Zhou

Amin Shirazi

Cole Manschot

Larry Leon

Merck & Co., Inc., Rahway, NJ, USA and its affiliates 

cut_data_by_date function

<dl><dt>x</dt>
<dd>A time-to-event dataset, for example, generated by <code>sim_pw_surv()</code>.</dd>
<dt>cut_date</dt>
<dd>Date relative to start of randomization
(<code>cte</code> from input dataset) at which dataset is to be cut off for analysis.</dd></dl>

Arguments

Cut a dataset for analysis at a specified date — cut_data_by_date

<dl>

<dt>x</dt>
<dd>A time-to-event dataset, for example, generated by <code>sim_pw_surv()</code>.</dd>


<dt>cut_date</dt>
<dd>Date relative to start of randomization
(<code>cte</code> from input dataset) at which dataset is to be cut off for analysis.</dd>

</dl>

Cut a dataset for analysis at a specified date

cut_data_by_date: Cut a dataset for analysis at a specified date

Description

Usage

Value

Arguments

Examples