use_coxph_survival: ###########################################################################...

In packDAMipd: Decision Analysis Modelling Package with Parameters Estimation Ability from Individual Patient Level Data

Description

########################################################################### Get the parameter values using the survival analysis using cox proportional hazard

Usage

use_coxph_survival(
  param_to_be_estimated,
  dataset,
  indep_var,
  covariates,
  timevar_survival
)

Arguments

param_to_be_estimated	parameter of interest
dataset	data set to be provided
indep_var	the independent variable (column name in data file)
covariates	list of covariates - calculations to be done before passing
timevar_survival	time variable for survival analysis, default is NA false by default

Details

plots baseline cumulative hazard function, survival function for each covariate while keeping the other fixed at the mean value (using plot_survival_cox_covariates), survival function for each combination of covariate using survfit (using plot_return_survival_curve) and test for cox regression results It also returns risk relative to mean (predicted at mean value of each covariate) along with the fit results coefficients, SE of coefficients, summary, and analysis of deviance

Value

the results of the regression analysis

Examples

data_for_survival <- survival::aml
surv_estimated <- use_coxph_survival("status", data_for_survival, "x",
  covariates = NA, "time")


data_for_survival <- survival::lung
surv_estimated <- use_coxph_survival("status", data_for_survival, "sex",
  covariates = c("ph.ecog"), "time")

packDAMipd documentation built on March 3, 2021, 5:07 p.m.