Ribbon bar. Select the Statistics tab. In the Advanced/Multivariate group, click Advanced Models and from the menu, select Survival to display the Survival and Failure Time Analysis Startup Panel.

Classic
menus. On the Statistics
- Advanced Linear/Nonlinear Models submenu,
select Survival Analysis

The Startup Panel contains one tab: Quick.

Essentially, the methods offered in this module address the same research questions as many of the other Statistica procedures; however, all methods in Survival Analysis will handle censored data. The Quick tab of the Survival and Failure Time Analysis Startup Panel contains options to select the desired type of analysis.

See also the Survival Analysis Index, Overviews, and Examples.

Life tables & Distributions. Select Life tables & Distributions and then click the OK button to display the Life Table & Distribution of Survival Times dialog box. This method is the most straightforward way to describe the survival in a sample. This table can be thought of as an "enhanced" frequency distribution table. The distribution of survival times is divided into a certain number of intervals. For each interval we can then compute the number and proportion of cases or objects that entered the respective interval "alive," the number and proportion of cases that failed in the respective interval (i.e., number of terminal events, or number of cases that "died"), and the number of cases that were lost or censored in the respective interval.

Kaplan & Meier product-limit method. Select Kaplan & Meier product-limit method and then click OK to display the Product-Limit (Kaplan & Meier) Analysis dialog box. This method estimates the survival function directly from the continuous survival or failure times. The advantage of the Kaplan-Meier Product-Limit method over the Life Table method (see above) for analyzing survival and failure time data is that the resulting estimates do not depend on the grouping of the data (into a certain number of time intervals). Actually, the Product-Limit method and the Life Table method are identical if the intervals of the life table contain at most one observation.

Comparing two samples. Select Comparing two samples and then click OK in the Survival and Failure Time Analysis Startup Panel to display the Comparing Survival in Two Groups dialog box. You can compare the survival or failure times in two or more samples when you select this method.

Comparing multiple samples. Select Comparing multiple samples and then click OK to display the Comparing Survival in Multiple Groups dialog box. The multiple-sample test implemented in Survival Analysis is an extension (or generalization) of Gehan's generalized Wilcoxon test, Peto and Peto's generalized Wilcoxon test, and the log-rank test. When you select this method, a score is first assigned to each survival time using Mantel's procedure (Mantel, 1967); next a Chi-square value is computed based on the sums (for each group) of this score. If only two groups are specified, then this test is equivalent to Gehan's generalized Wilcoxon test, and the computations will default to that test in this case.

Regression models. Select Regression models and then click OK to display the Regression Models for Censored Data dialog box. Selecting this method will enable you to choose between four different regression models: Cox's proportional hazard regression, exponential regression, lognormal linear regression, and normal linear regression.

Time-dependent covariates. Select Time-dependent covariates and then click OK to display the Proportional Hazard Model with Time-Dependent Covariates dialog box. Time-dependent covariates occur when the effect of the covariate on survival is dependent on time (i.e., the conditional hazard at each point in time is a function of the covariate and time).

OK. Click the OK button to open the analysis dialog box after you have selected the type of analysis to perform via the Quick tab.

Cancel. Click the Cancel button to close the Startup Panel without performing any analysis.

Options. See Options Menu for descriptions of the commands on this menu.

Open Data. Click the Open Data button to display the Select Data Source dialog box, which is used to choose the spreadsheet on which to perform the analysis. The Select Data Source dialog box contains a list of the spreadsheets that are currently active.

Select Cases. Click the Select Cases button to display the Analysis/Graph Case Selection Conditions dialog box, which is used to create conditions for which cases will be included (or excluded) in the current analysis. More information is available in the case selection conditions overview, syntax summary, and dialog box description.

W. Click the W (Weight) button to display the Analysis/Graph Case Weights dialog box, which is used to adjust the contribution of individual cases to the outcome of the current analysis by "weighting" those cases in proportion to the values of a selected variable.

See also the Survival Analysis Index, Overviews, and Examples.