Foreword:
The reference textbook for this column is "SPSS22.0 From Beginner to Master". Due to the software version, part of the content has changed. In order to adapt to the changes in the software version, this column is created to facilitate everyone's learning. The software used in this column is:SPSS25.0
Please click this link to download all the data files in this column:SPSS data analysis column attachment!
Table of contents
1.Kaplan-Meier analysis
Kaplan-Meier analysis is a statistical method used in survival analysis. It is used to estimate the probability of an event occurring and the survival curve. It is commonly used in medicine, epidemiology, and other fields to study survival time, survival rates, and risks.
Kaplan-Meier analysis estimates the risk and survival rate of events in a population by observing the survival time and observation status (whether an event occurs) of each individual. It takes into account events that may occur to individual individuals during the study time, such as death, disease recurrence, or other specific events.
By drawing Kaplan-Meier survival curves, differences in survival rates among different groups or conditions can be visually compared. It can also be used to evaluate the impact of specific variables (such as treatment modalities or biomarkers) on survival time, often used to compare different treatments, predict disease progression, or assess survival.
Kaplan-Meier analysis is generally implemented by tools or functions in statistical software. You can input event time and observation status, and then calculate survival curves and related statistics, such as survival rate, median survival time, risk ratio, etc.
It should be noted that Kaplan-Meier analysis has some basic assumptions, such as the assumption that there is no screening of observed individuals and the assumption that events occur independently. The applicability and conditions of these assumptions need to be noted during analysis.
2.SPSS implementation
(1) Open the "data15-02" data file, select "Analysis" - "Survival Analysis" - "Kaplan-Meier", and the dialog box shown in the figure below will pop up.
(2) Select the corresponding variable on the left to the right as shown below.
(3) Click the "Define Event" button below the status list box to pop up the dialog box shown in the figure below. Enter 1 after the single value, and then click Continue to return to the main dialog box.
(4) Click the "Comparison Factor" button to pop up the dialog box shown in the figure below. Check the corresponding options as shown in the figure, and then click Continue to return to the main dialog box.
(5) Click the "Options" button to pop up the "Kaplan-Meier: Options" dialog box. Check the corresponding options as shown below.
(6) After completing all settings, click the "OK" button to execute the command.
3. Result analysis
Note: Because the table data is too long, only part of the survival analysis table data is shown here.
