w2Fint

Internal MLEw weight function W2 according to sampling distribution
W2 is either taken directly from the MCSS-results (if available) or
are taken from the smooth approximation function, otherwise.

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

w2Fint function

<dl><dt>nObs</dt>
<dd>numeric. Sample size (vectorized) of one group</dd></dl>

Arguments

Internal MLEw weight function W2 according to sampling distribution
W2 is either taken directly from the MCSS-results (if available) or
are taken from the smooth approximation function, otherwise. — w2Fint

<dl>

<dt>nObs</dt>
<dd>numeric. Sample size (vectorized) of one group</dd>

</dl>

Internal MLEw weight function W2 according to sampling distribution
W2 is either taken directly from the MCSS-results (if available) or
are taken from the smooth approximation function, otherwise.

w2Fint: Internal MLEw weight function W2 according to sampling distribution W2 is either taken directly from the MCSS-results (if available) or are taken from the smooth approximation function, otherwise.

Description

Usage

Value

Arguments