Survival Analysis in NCSS

Unique Statistical Applications for Statisticians

Survival Analysis in NCSS

Introduction

Survival analysis includes several techniques to study data in which the response variable is elapsed time. Procedures include survival distribution analysis (including the Kaplan-Meier survival distribution estimate), log rank tests, and proportional hazards regression.

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Features

> Accelerated life testing
> Beta distribution
> Censoring – All Types
> Cox’s regression
> Cox-Mantel test
> Cumulative Incidence
> Exponential distribution
> Exponential regression
> Extreme Value distribution
> Extreme Value regression
> Gamma distribution
> Gehan’s Wilcoxon test
> Goodness of fit
> Hazard rate plots
> Hazard functions plots
> Kaplan-Meier curves
> Least squares estimates
> Life-table analysis

> Log-logistic distribution
> Log-logistic regression
> Log rank test
> Lognormal distribution
> Lognormal regression
> Maximum likelihood
> Peto / Wilcoxon test
> Probit Analysis
> Proportional hazards regression
> Rayleigh distribution
> Reliability statistics
> Stress variables
> Survival functions & plots
> Survival percentiles
> Variable selection options
> Weibull distribution
> Weibull regression

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