prob_pf_psm {psm3mkv}

Calculate probability of being progression free in partitioned survival model

Description

Calculates membership probability for the progression free state, at a particular time (vectorized), given a partitioned survival model with given statistical distributions and parameters.

Usage

prob_pf_psm(time, dpam, starting = c(1, 0, 0))

Arguments

time

Time (numeric and vectorized)

dpam

List of survival regressions for model endpoints. This must include progression-free survival (PFS).

starting

Vector of membership probabilities (PF, PD, death) at time zero.

Value

Numeric value

Examples

bosonc <- create_dummydata("flexbosms")
fits <- fit_ends_mods_spl(bosonc)
# Pick out best distribution according to min AIC
params <- list(
  ppd = find_bestfit(fits$ppd, "aic")$fit,
  ttp = find_bestfit(fits$ttp, "aic")$fit,
  pfs = find_bestfit(fits$pfs, "aic")$fit,
  os = find_bestfit(fits$os, "aic")$fit,
  pps_cf = find_bestfit(fits$pps_cf, "aic")$fit,
  pps_cr = find_bestfit(fits$pps_cr, "aic")$fit
)
prob_pf_psm(0:100, params)