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SURVIVAL ANALYSIS USING SPSS Monday, 5th December 2016, 1.30pm 5.00pm Please RSVP by Friday 25th November 2016 Workshop Presenter Prof. Max Bulgaria Chair in Biostatistics, Institute for Health Research,
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How to fill out survival analysis using SPSS?

01
First, open SPSS and go to the "File" menu. Click on "Open" to import your dataset into the software.
02
Once your dataset is loaded, go to the "Analyze" menu and select "Survival" and then "Nonparametric Survival." This will open the survival analysis options.
03
In the dialog box that appears, choose the variables you want to include in your survival analysis. Typically, you will need a "time variable" and an "event variable" which indicates whether an event of interest occurred or not.
04
Specify any additional options you want to use, such as the type of survival analysis (e.g., Kaplan-Meier), confidence interval, and plotting options.
05
Click "OK" to run the analysis. SPSS will generate output tables and graphs that summarize the results of your survival analysis.

Who needs survival analysis using SPSS?

01
Researchers in the medical field often use survival analysis to study the time until an event occurs, such as time to death or time to recurrence of a disease. SPSS provides a user-friendly interface for conducting these analyses.
02
Social scientists may also use survival analysis to examine time until an event occurs, such as time until unemployment or time until marriage. SPSS can handle these types of analyses as well.
03
Students and academics who are learning or teaching survival analysis may find SPSS helpful for conducting and illustrating these analyses in a practical way. SPSS's graphical capabilities can aid in interpreting and presenting survival analysis results.
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Survival analysis using SPSS is a statistical method used to analyze the time until an event of interest occurs.
Researchers and data analysts who are studying the time until an event of interest occurs in a dataset.
To perform survival analysis using SPSS, one must have the necessary data on the time to event and any relevant covariates, and then use the appropriate statistical techniques within the SPSS software.
The purpose of survival analysis using SPSS is to examine and understand the time to event data, identify factors that may influence the time to event, and make predictions or draw conclusions based on the analysis.
The results of survival analysis using SPSS typically include survival curves, hazard ratios, p-values, and other statistical measures related to the time to event data.
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