getWeilbull

Estimate parameters of the Weibull survival distributions for each subgroup.

A general framework using mixture Weibull distributions to accurately predict biomarker-guided trial duration accounting for heterogeneous population. Extensive simulations are performed to evaluate the impact of heterogeneous population and the dynamics of biomarker characteristics and disease on the study duration. Several influential parameters including median survival time, enrollment rate, biomarker prevalence and effect size are identified. Efficiency gains of biomarker-guided trials can be quantitatively compared to the traditional all-comers design. For reference, see Zhang et al. (2024) <arXiv:2401.00540>.

Hong Zhang

debest

Duration Estimation for Biomarker Enrichment Studies and Trials

getWeilbull function

<dl><dt>dat</dt>
<dd>- data frame of three columns: 1) time: follow up time; 2) status: indicator, 0=no event, 1=event; 3) group, integer 1,...,n, for each subgroup of patients.</dd></dl>

Arguments

Estimate parameters of the Weibull survival distributions for each subgroup. — getWeilbull

<dl>

<dt>dat</dt>
<dd>- data frame of three columns: 1) time: follow up time; 2) status: indicator, 0=no event, 1=event; 3) group, integer 1,...,n, for each subgroup of patients.</dd>

</dl>

getWeilbull: Estimate parameters of the Weibull survival distributions for each subgroup.

Description

Usage

Value

Arguments

References

Examples