Teach you how to use SPSS to make subgroup analysis of interaction effects (p for Interaction)

The interaction effect (p for Interaction) can be regarded as a nirvana in SCI articles, and it is almost inevitable in high-scoring SCI, because dividing the population into subgroups and then performing statistics can enhance the reliability of the article results, as shown in the figure below It’s just a piece of 20-point article. I did an interaction analysis.

Many people don’t know how to make the P value of the interaction. It’s actually very simple. Today we will demonstrate how to make the P value of the interaction through SPSS.
First, use SPSS to open our past. Breast cancer data

If we are studying the relationship between pr (progesterone receptor status) and death, we want to know whether ln_yesno (whether lymph node metastasis) and pr interact. First open the COX regression interface and

fill in the time, survival status and other data. In the covariate column, select ln_yesno and pr at the same time to select the a*b option and

click OK. As shown by the red arrow in the figure below, 0.003 is the interaction between ln_yesno and pr Is the P value

very simple? In the next chapter, we will analyze how the interaction of a 20-point SCI (the first picture) is made. Please
pay attention to it with your hands. More wonderful articles are based on zero basis. Say scientific research