Baseline_Lambda_k: Baseline cumulative hazards
In CompetingRisk: The Semi-Parametric Cumulative Incidence Function

Description Usage Arguments Details References

Estimate the baseline cumulative hazards for the k^th type of failure.

1	Baseline_Lambda_k(est, x, y)

`est`	The model fitting details from the k^th cause-specific hazards model.
`x`	The design matrix associated with the k^th type of failure, of dimension n observations and p_k covariates.
`y`	The survival response associated with the k^th type of failure.

This function estimates the baseline cumulative hazards for the k^th type of failure. The estimated baseline cumulative hazard is a Breslow type estimator.

Breslow, Norman E. "Analysis of survival data under the proportional hazards model." International Statistical Review/Revue Internationale de Statistique (1975): 45-57.

CompetingRisk documentation built on May 30, 2017, 2:54 a.m.