IBM SPSS COMPLEX SAMPLES 19 manual Save

86

Chapter 12

„Sequential Bonferroni. This is a sequentially step-down rejective Bonferroni procedure that is much less conservative in terms of rejecting individual hypotheses but maintains the same overall significance level.

„Sidak. This method provides tighter bounds than the Bonferroni approach.

„Bonferroni. This method adjusts the observed significance level for the fact that multiple contrasts are being tested.

Save

Figure 12-10

Cox Regression dialog box, Save tab

Save Variables. This group allows you to save model-related variables to the active dataset for further use in diagnostics and reporting of results. Note that none of these are available when time-dependent predictors are included in the model.

„Survival function. Saves the probability of survival (the value of the survival function) at the observed time and predictor values for each case.

„Lower bound of confidence interval for survival function. Saves the lower bound of the

confidence interval for the survival function at the observed time and predictor values for each case.