qpwe

This will provide the quantile function of the specified piecewise exponential distribution

quantiles

piecewise exponential

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 

qpwe function

<dl> <dt>p</dt>
<dd>a vector of probabilities</dd> <dt>rate</dt>
<dd>piecewise constant event rate</dd> <dt>tchange</dt>
<dd>time points at which event rate changes. This must be an strictly increasing sequence starting from zero. rate and tchange must have the same length.</dd></dl>

Arguments

Author

Piecewise exponential distribution: quantile function — qpwe

<dl>

 <dt>p</dt>
<dd>a vector of probabilities</dd>

 <dt>rate</dt>
<dd>piecewise constant event rate</dd>

 <dt>tchange</dt>
<dd>time points at which event rate changes. This must be an strictly increasing sequence starting from zero. rate and tchange must have the same length.</dd>

</dl>

qpwe: Piecewise exponential distribution: quantile function

Description

Usage

Value

Arguments

Author

Details

References

See Also

Examples