analyseTime2Effect: Mixed effect time to event analysis

Description

A wrapper function for the coxme function from the coxme package. Coxme is a mixed effects version of cox proportional models for comparison of time to event data taking into account censoring events.

Usage

analyseTime2Effect(Data, StatusVar, TimeVar, TreatmentVar, ReplicateVar)

Arguments

Data

A data set.

StatusVar

The name (as a string) of the status variable.

TimeVar

The name (as a string) of the time variable.

TreatmentVar

The name (as a string) of the treatment variable.

ReplicateVar

The name (as a string) of the replicate variable.

Value

Returns a list with the following values:

FitME

The results from coxme.

FitHP

The results from coxph. It is used in graphing.

FitS

The results from survfit. It is used in graphing.

EffectsTable

A dunnett table from oneWayDunnettTest.

MedianTable

A table showing the median time to effect along with the median's 95% confidence intervals. See quantile.survfit for more details.

References

Ripatti and J Palmgren, Estimation of multivariate frailty models using penalized partial likelihood, Biometrics 56:1016-1022, 2000. T Therneau, P Grambsch and VS Pankratz, Penalized survival models and frailty, J Computational and Graphical Statistics 12:156-175, 2003.

Examples

Run this code

# NOT RUN {
	#Data 
		data(eventTimeData)
	#Run 
		analyseTime2Effect(Data=eventTimeData, StatusVar='Status', 
			TimeVar='Time', TreatmentVar='Trt', ReplicateVar='Rep')
# }