Cox Spss. The data sets used for the cox regression case studies are telco sav and recidivism sav. Cox regression is a type of survival analysis that predicts for a categorical outcome when controlling for variables and time.
Cox regression builds a predictive model for time to event data. You will find copies of these files and all of the data sets used in the spss case studies in the tutorial sample files subdirectory of the folder in which spss was installed. The model produces a survival function that predicts the probability that the event of interest has occurred at a given time t for given values of the predictor variables.
Use spss for cox regression.
Cox regression is a type of survival analysis that predicts for a categorical outcome when controlling for variables and time. Cox regression builds a predictive model for time to event data. The model can then be applied to. The model produces a survival function that predicts the probability that the event of interest has occurred at a given time t for given values of the predictor variables.
