The duration package supports fitting statistical models for event time data (also known as "survival analysis") in Go. Currently, Cox proportional hazards regression, Kaplan-Meier estimates of the marginal survival function, and estimation of the cumulative incidence function are supported. The analysis functions accept data using the dstream interface.

Here is an example of a proportional hazards regression:

// Provide an io.Reader to the CSV-formatted data source.
da := dstream.FromCSV(r).AllFloat().HasHeader().Done()

// Prepare a design matrix using a formula
fml := "age + sex + severity + age*sex + age*severity"
dx := formula.New(fml, dx).Keep([]string{"Entry", "Time", "Status"}).Done()
da = dstream.MemCopy(dx)

// Fit the model
ph := NewPHReg(da, "Time", "Status").Entry("Entry").Done()
rslt := ph.Fit()
fmt.Printf("%s\n", rslt.Summary())

Features

• Cox model supports entry times (delayed entry) and stratification

• Cox model uses the Breslow log-likelihood