estimate_censoring_score_cox: Estimate Censoring Scores Using Cox Regression
In PSsurvival: Propensity Score Methods for Survival Analysis

estimate_censoring_score_cox

R Documentation

Estimate Censoring Scores Using Cox Regression

Estimate Censoring Scores Using Cox Regression

estimate_censoring_score_cox(
  data,
  time_var,
  treatment_var,
  formula,
  control = list(),
  ties = "efron"
)

`data`	Data frame.
`time_var`	Name of time variable.
`treatment_var`	Name of treatment variable.
`formula`	Censoring model formula. Use `Surv(time, censor_indicator) ~ X1 + X2` where `censor_indicator = 1` indicates censoring. If event is coded canonically (event=1, censored=0), use `I(1-event)`. Otherwise, use the appropriate transformation. Treatment is automatically removed if included.
`control`	Control parameters for `coxph()`. Default `list()`.
`ties`	Tie handling method. Default "efron".

Fits Cox models within each treatment group. Censoring scores computed as:

K_c^{(j)}(t, X) = \exp(-H_0^{(j)}(t) \cdot \exp(\beta_j' X))

where H_0^{(j)}(t) is cumulative baseline hazard. Baseline hazards evaluated at nearest time point for each individual.

List with class "censoring_score_cox":

`censoring_models`	Fitted `coxph` objects by treatment level.
`censoring_scores`	P(C >= T_i \| Z_i, X_i) for observed treatment.
`censoring_matrix`	(n x J) matrix of P(C >= T_i \| Z=j, X_i).
`n_levels`	Number of treatment levels.
`treatment_levels`	Sorted treatment values.
`model_type`	"cox".
`baseline_hazards`	Baseline cumulative hazards by treatment level.
`coef_list`	Coefficient vectors by treatment level.
`vcov_list`	Variance-covariance matrices by treatment level.
`linear_predictors_matrix`	(n x J) matrix of linear predictors.