CoxRiskCalibration: Baseline hazard and interval time Estimations

In FRESA.CAD: Feature Selection Algorithms for Computer Aided Diagnosis

Baseline hazard and interval time Estimations

Description

It will estimate the baseline hazard (ho) and the time interval that best describes a estimations of the probabilities of time-to-event Poisson events

Usage

	CalibrationProbPoissonRisk(Riskdata,trim=0.10)
	CoxRiskCalibration(ml,data,outcome,time,trim=0.10,timeInterval=NULL)

Arguments

Riskdata	The data frame with thre columns: Event, Probability of event, time to event
trim	The percentge of tails of data not to be used to estimate the time interval
timeInterval	The time interval for event rate estimation
ml	A Cox model of the events
data	the new dataframe to predict the model
outcome	The name of the columnt that has the event: 1 uncensored, 0; Censored
time	The time to event, or time to last observation.

Details

The function will estimate the baseline hazard of Poisson events and its corresponding time interval from a list of predicted probability that the event will occur for censored (Outome=0) of the actual event happened (Outcome=1). If the timeInterval is not provided, the funtion will estimete the initial time interval to be used to get the best time interval that models the rate of events.

Value

index	A vector with the prognistic index based on the provided probabilities
probGZero	The vector with the calibrated probabilites of the event happening
hazard	The predicted hazard of each event
h0	The estimated bsaeline hazard
hazardGain	The calibration gain
timeInterval	The time interval of the Poisson event
meaninterval	The mean observed interval of events
Ahazard	The cumulated hazzard after calibration
delta	The relative difference between observed and estimated number of events.

Author(s)

Jose G. Tamez-Pena

See Also

RRPlot

Examples

  #TBD

FRESA.CAD documentation built on Nov. 25, 2023, 1:07 a.m.