TKVsurv: Data Set Containing Fitted Model Estimates and Covariances

In SurvDisc: Discrete Time Survival and Longitudinal Data Analysis

Description

A data set containing the estimates fromthe fitted Cox proportional hazards model from a dataset of patients with Autosomal Dominant Polycystic Kideny Disease. See references for further details. The model has 6 parameters describing how the hazard changes for different levels of the 3 covariates. In addition, there are 3 strata correspoding to the different imaging modalities: CT, MRI, US.

Usage

data(TKVsurv)

Format

A list with the following components covariates: names of covariates mean: sample mean of covariates stand.dev.: standard deviation of covariates labels: labels for coefficients and rows and columns of covariance matrix sigma beta: estimated coefficients in the proportional hazards model sigma: estimated covariance martix for beta CT.time: time points where Survival curve changes for CT strata CT.lcumhaz: estimated log-cumulative hazard in CT strata with coefficients = 0 CT.sig17: estimated 7 elements to fill the last row (and last column) of the covariance matrix MRI.time: time points where Survival curve changes for MRI strata MRI.lcumhaz: estimated log-cumulative hazard in MRI strata with coefficients = 0 MRI.sig17: estimated 7 elements to fill the last row (and last column) of the covariance matrix US.time: time points where Survival curve changes for US strata US.lcumhaz: estimated log-cumulative hazard in US strata with coefficients = 0 US.sig17: estimated 7 elements to fill the last row (and last column) of the covariance matrix

Author(s)

John Lawrence, Jianjin Xu, Jim Hung, Sue Jane Wang

References

http://www.fda.gov/downloads/Drugs/DevelopmentApprovalProcess/DrugDevelopmentToolsQualificationProgram/UCM458523.pdf

SurvDisc documentation built on May 2, 2019, 9:12 a.m.