plot.MaxLR

Display weight functions used in the function <code>MaxLRtest</code>

Performs combination tests and sample size calculation for
fixed design with survival endpoints using combination tests under either
proportional hazards or non-proportional hazards. The combination tests
include maximum weighted log-rank test and projection test. The sample
size calculation procedure is very flexible, allowing for user-defined
hazard ratio function and considering various trial conditions like
staggered entry, drop-out etc. The sample size calculation also applies to
various cure models such as proportional hazards cure model, cure model with
(random) delayed treatments effects. Trial simulation function is also provided
to facilitate the empirical power calculation. The references for
projection test and maximum weighted logrank test include Brendel et al. (2014)
<doi:10.1111/sjos.12059> and Cheng and He (2021) <arXiv:2110.03833>. The
references for sample size calculation under proportional hazard include
Schoenfeld (1981) <doi:10.1093/biomet/68.1.316> and Freedman (1982) <doi:10.1002/sim.4780010204>.
The references for calculation under non-proportional hazards include
Lakatos (1988) <doi:10.2307/2531910> and Cheng and He (2023) <doi:10.1002/bimj.202100403>.

Huan Cheng

nphPower

Sample Size Calculation under Non-Proportional Hazards

plot.MaxLR function

<dl><dt>x</dt>
<dd>object of <code>MaxLRtest</code> function</dd>
<dt>...</dt>
<dd>additional graphical arguments passed to the plot function</dd></dl>

Arguments

Graphical Display of Weight Functions — plot.MaxLR

<dl>

<dt>x</dt>
<dd>object of <code>MaxLRtest</code> function</dd>


<dt>...</dt>
<dd>additional graphical arguments passed to the plot function</dd>

</dl>

plot.MaxLR: Graphical Display of Weight Functions

Description

Usage

Value

Arguments

See Also

Examples