cohorttools (version 0.1.6)

estim.hazard: Estimates hazard function using Poisson model

Description

Estimates hazard function using Poisson model

Usage

estim.hazard(
  formula,
  data,
  time,
  status,
  breaks,
  knots,
  time.eval = breaks,
  alpha = 0.05,
  use.GAM = FALSE,
  print.GAM.summary = FALSE,
  ...
)

Value

Returns data frame with time and hazard function values with attribute 'estim.hazard.param' containing estimation parameters (breaks and knots)

Arguments

formula

formula with Surv in LHS, NOTE! only one variable in RHS

data

data used by formula

time

time variables

status

status indicator Lowest value used as sensoring. If only one unique value detected, all are assumed events

breaks

time is splitted with these values

knots

knots for natural splines used in estimation of hazard function

time.eval

in which time points hazard function is evaluate.

alpha

significance level for confidence intervals

use.GAM

logical determining if generalized additive model (GAM) is used

print.GAM.summary

logical determining if summary of GAM is printed

...

parameters for glm

Author

Jari Haukka

Examples

library(survival)
tmp.hz<-estim.hazard(time=lung$time,status=lung$status)
head(tmp.hz,2)
attributes(tmp.hz)$estim.hazard.param # estimation parameters
tmp.hz2<-estim.hazard(formula=Surv(time,status)~sex,data=lung)
head(tmp.hz2,2)