Comparing Survival in Multiple Groups
Creates nonparametric test for comparing the survival times in multiple groups. Specifying survival times: There are three ways to specify survival times. You can select one (continuous dependent) variable with survival times (e.g., number of weeks surviving), you can select two (continuous dependent) variables with start and stop times for each observation (the analysis will be performed on the differences between the two values, i.e., on the elapsed times), or you can select six (continuous dependent) variables containing dates. Specifically, these variables should contain the month (1 to 12), day (1 to 31), and year when the particular observation began (e.g., when the patient was admitted to the hospital), and the month, day, and year when the observation was terminated (due to death/failure or censoring, e.g., when a patient was dismissed from the hospital). While processing the data, Survival Analysis will compute the number of days that elapsed between dates, and perform the analysis on this measure. Note that if the value of the year is less than 100, STATISTICA will automatically assume that the year refers to the 20th century; for example, the year 88 would be converted into 1988 (and 3 would be converted to 1903; make sure to enter 2003 explicitly into the year column to reference that year).
Element Name | Description |
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General | |
Cum | prop. surviving by group. Creates and reports the cumulative proportion surviving (Kaplan-Meier plot) for each group. |
Scores for each group | Creates and reports the score statistics for each group. |
Proportion surviving by group | Creates and reports comparative life tables. |
Plots prop | surviving by group. Creates Plots of proportion surviving by group. |
Histogram of sum of scores | Creates Histogram of sum of scores by group. |