prob_pd_stm_cf {psm3mkv}

Calculate probability of having progressed disease under the state transition clock forward model

Description

Calculates membership probability of the progressed disease state at a given time (vectorized). This probability is from the state transition clock forward model, according to the given statistical distributions and parameters.

Usage

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

Arguments

time

Time (numeric and vectorized) from baseline.

dpam

List of survival regressions for model endpoints. This must include pre-progression death (PPD), time to progression (TTP) and post progression survival calculated under the clock forward model (PPS-CF).

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_pd_stm_cf(0:100, params)