wlrutil

A utility function to calculate some common functions in contructing weights

weighted log-rank

Calculates various functions needed for design and monitoring survival trials
accounting for complex situations such as delayed treatment effect, treatment crossover, non-uniform accrual,
and different censoring distributions between groups. The event time distribution is assumed to be
piecewise exponential (PWE) distribution and the entry time is assumed to be piecewise uniform distribution.
As compared with Version 1.2.1, two more types of hybrid crossover are added.
A bug is corrected in the function "pwecx" that calculates the crossover-adjusted survival, distribution,
density, hazard and cumulative hazard functions.
Also, to generate the crossover-adjusted event time random variable,  a more efficient
algorithm is used and the output includes crossover indicators.

Xiaodong Luo

PWEALL

Design and Monitoring of Survival Trials Accounting for Complex
Situations

Xuezhou Mao

Xun Chen

Hui Quan

Sanofi 

wlrutil function

<dl> <dt>y</dt>
<dd>observed times</dd> <dt>d</dt>
<dd>non-censoring indicators</dd> <dt>z</dt>
<dd>group indicators with <code>z</code>=1 treatment and <code>z</code>=0 control</dd> <dt>te</dt>
<dd>(ascendingly) ordered unique event times from both groups</dd> <dt>eps</dt>
<dd>tolerence when comparing event times</dd></dl>

Arguments

Author

A utility function to calculate some common functions in contructing weights — wlrutil

<dl>

 <dt>y</dt>
<dd>observed times</dd>

 <dt>d</dt>
<dd>non-censoring indicators</dd>

 <dt>z</dt>
<dd>group indicators with <code>z</code>=1 treatment and <code>z</code>=0 control</dd>

 <dt>te</dt>
<dd>(ascendingly) ordered unique event times from both groups</dd>

 <dt>eps</dt>
<dd>tolerence when comparing event times</dd>

</dl>

wlrutil: A utility function to calculate some common functions in contructing weights

Description

Usage

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Arguments

Author

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Examples