w3FFint

Generally, the weight W3 depends on the sample size and the shape parameter.
The sample size of a group is fixed. Hence, we return a function that returns
W3 for provided shape parameter as argument. If the sample size was used
during the Monte-Carlo simulation study the coefficients of generalized
logistic curve are returned directly. Otherwise the coefficients stem from a
natural cubic spline fit based on the MCS.

Fit parametric models for time-to-event data that show an initial
'incubation period', i.e., a variable delay phase where no events occur.
The delayed Weibull distribution serves as the foundational data model.
For parameter estimation, different flavours of maximum likelihood
estimation ('MLE') and the method of maximum product of spacings estimation
('MPSE') are implemented. Bootstrap confidence intervals for parameters and
significance tests in a two group setting are provided.

Matthias Kuhn

incubate

Parametric Time-to-Event Analysis with Variable Incubation
Phases

w3FFint function

<dl><dt>nObs</dt>
<dd>sample size for which to build the W3-function</dd></dl>

Arguments

Internal factory method for W3-function based on sampling distribution — w3FFint

<dl>

<dt>nObs</dt>
<dd>sample size for which to build the W3-function</dd>

</dl>

w3FFint: Internal factory method for W3-function based on sampling distribution

Description

Usage

Value

Arguments

Details