use_survival_analysis: ############################################################################...

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

Description

############################################################################ Get the parameter values using the survival analysis

Usage

use_survival_analysis(
  param_to_be_estimated,
  dataset,
  indep_var,
  info_get_method,
  info_distribution,
  covariates,
  timevar_survival,
  cluster_var = NA
)

Arguments

param_to_be_estimated	parameter of interest
dataset	data set to be provided
indep_var	the independent variable (column name in data file)
info_get_method	additional information on methods e.g Kaplan-Meier ot hazard
info_distribution	distribution name eg. for logistic regression -binomial
covariates	list of covariates - calculations to be done before passing
timevar_survival	time variable for survival analysis, default is NA
cluster_var	cluster variable for survival analysis

Details

This function helps to get the parameter values after the survival analysis Takes into account many different methods like KM.FH, Cox proportional etc. and then calls appropriate functions to do the survival analysis

Value

the results of the regression analysis

Examples

data_for_survival <- survival::aml
surv_estimated_aml <- use_survival_analysis("status", data_for_survival,
  "x",
  info_get_method = "parametric", info_distribution = "weibull",
  covariates = NA, "time")

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