Regression Models for Competing Risks

fits Cox model for every type of an event including occuring of competing risks.

fitReg(time, risk, group, cens = NULL)

Arguments

time	vector with times of the first event or follow-up, must be numeric.
risk	vector with type of event, can be numeric or factor/character.
group	vector with group variable, can be numeric or factor/character.
cens	value of 'risk' indicating censored observation (if NULL, the first value of 'risk' vector will be taken).

Value

a list of length n, where n is number of different types of events. Each element of a list is a result of crr function from cmprsk package for given type of event.

See also

crr

Examples

fitReg(time = LUAD$time, risk = LUAD$event, group = LUAD$gender, cens = "alive")
#> 19 cases omitted due to missing values
#> 19 cases omitted due to missing values
#> $death
#> convergence:  TRUE 
#> coefficients:
#> covMatrix1 
#>   -0.04556 
#> standard errors:
#> [1] 0.1988
#> two-sided p-values:
#> covMatrix1 
#>       0.82 
#> 
#> $new_tumor
#> convergence:  TRUE 
#> coefficients:
#> covMatrix1 
#>   -0.04065 
#> standard errors:
#> [1] 0.3604
#> two-sided p-values:
#> covMatrix1 
#>       0.91 
#>