coxph: Cox Proportional Hazard Model

In Fuzzy-Logix/AdapteR: Converts R syntax to SQL to provide fast analytics using in-database C++ library DB Lytix.

Description

coxph Fits a Cox proportional hazards regression model.

Usage

coxph(formula, data = list(), ...)

Arguments

formula	A symbolic description of model to fit
data	FLTable object. Can be wide or deep
catToDummy	Transform categorical variables to numerical values either using dummy variables or by using Empirical Logit. If the value is 1, transformation is done using dummy variables, else if the value is 0, transformation is done using Empirical Logit.
performNorm	0/1 indicating whether to perform standardization of data.
performVarReduc	0/1. If the value is 1, the stored procedure eliminates variables based on standard deviation and correlation.
makeDataSparse	If 0,Retains zeroes and NULL values from the input table. If 1, Removes zeroes and NULL. If 2,Removes zeroes but retains NULL values.
minStdDev	Minimum acceptable standard deviation for elimination of variables. Any variable that has a standard deviation below this threshold is eliminated. This parameter is only consequential if the parameter PerformVarReduc = 1. Must be >0.
maxCorrel	Maximum acceptable absolute correlation between a pair of columns for eliminating variables. If the absolute value of the correlation exceeds this threshold, one of the columns is not transformed. Again, this parameter is only consequential if the parameter PerformVarReduc = 1. Must be >0 and <=1.
classSpec	list describing the categorical dummy variables.
whereconditions	takes the where_clause as a string.

Value

coxph returns a FLCoxPH object

Constraints

The formula object should have a Surv object. The arguments to Surv object must strictly be in the order (time,time2,event) or (time,event). Arguments to Surv should be plain. For instance, as.numeric(SurvColumn) inside Surv is not supported. Only coefficients,linear.predictors,FLSurvivalData, FLCoxPHStats,loglik,wald.test,n,nevent, rscore,call,formula,call,model,x, means,terms can be called on fitted object using $. coefficients,plot,print,summary methods are available for fitted object.

See Also

coxph for corresponding R function reference

Examples

dropTable("tblcoxph_wide")
createTable("tblcoxph_wide",pSelect=paste0("SELECT ID AS obsid,time_AIDS_d AS time_val,censor AS status,sex,ivdrug,tx FROM ",getTestTableName("tblCoxPH")),pTemporary=FALSE)
widetable <- FLTable(getTestTableName("tblcoxph_wide"),
					 "obsid")
fitT <- coxph(Surv(time_val,status) ~ sex + ivdrug + tx,widetable)
resultList <- predict(fitT,newdata=widetable)
resultList[[1]]
resultList[[2]]
summary(fitT)
plot(fitT)

Fuzzy-Logix/AdapteR documentation built on May 6, 2019, 5:07 p.m.