RunCoxNull {Colossus} | R Documentation |
Performs basic Cox Proportional Hazards regression with the null model
Description
RunCoxRegression
uses user provided data and time/event columns
to calculate the log-likelihood with constant hazard ratio
Usage
RunCoxNull(df, time1, time2, event0, control)
Arguments
df |
a data.table containing the columns of interest |
time1 |
column used for time period starts |
time2 |
column used for time period end |
event0 |
column used for event status |
control |
list of parameters controlling the convergence, see Def_Control() for options or vignette("starting_description") |
Value
returns a list of the final results
See Also
Other Cox Wrapper Functions:
RunCoxEventAssignment()
,
RunCoxRegression()
,
RunCoxRegression_Basic()
,
RunCoxRegression_CR()
,
RunCoxRegression_Guesses_CPP()
,
RunCoxRegression_Omnibus()
,
RunCoxRegression_STRATA()
,
RunCoxRegression_Single()
,
RunCoxRegression_Tier_Guesses()
Examples
library(data.table)
## basic example code reproduced from the starting-description vignette
df <- data.table::data.table("UserID"=c(112, 114, 213, 214, 115, 116, 117),
"Starting_Age"=c(18, 20, 18, 19, 21, 20, 18),
"Ending_Age"=c(30, 45, 57, 47, 36, 60, 55),
"Cancer_Status"=c(0, 0, 1, 0, 1, 0, 0))
# For the interval case
time1 <- "Starting_Age"
time2 <- "Ending_Age"
event <- "Cancer_Status"
control <- list("Ncores"=2,'verbose'=FALSE, 'ties'='breslow','double_step'=1)
e <- RunCoxNull(df, time1, time2, event, control)
[Package Colossus version 1.1.1 Index]