calc_risk: Calculate the Cox risk associated with the covariates of the...
In cgrcusum: Continuous Time Generalized Rapid Response CUSUM

Description Usage Arguments Details Value Author(s) See Also Examples

This function can be used to calculate the risk associated with the covariates of an individual under a specified Cox PH model.

1	calc_risk(data, coxphmod = NULL)

data

data frame containing the covariates to be used for risk-adjustment as named columns.

coxphmod

(optional) a cox proportional hazards model generated using coxph() or a list containing:

$formula (~ covariates),
$coefficients (named vector specifying risk adjustment coefficients for covariates - names must be the same as in $formula and data colnames).

The subject specific increased risk is given by:

exp(β * Z_i)

with β the Cox coefficients and Z_i the covariates of subject i.

A vector of nrow(data) specifying the increased risk of failure for each subject.

Daniel Gomon

Other utils: exp_hazards, gen_arriv_times(), gen_surv_times(), runlength()

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crdat <- data.frame(age = rnorm(10, 40, 5), BMI = rnorm(10, 24, 3))
crlist <- list(formula = as.formula("~age + BMI"), coefficients = c("age"= 0.02, "BMI"= 0.009))
calc_risk(crdat, crlist)