| | Re: How to do the normalized survival analysis?
For normalization, we mean to adjust data in order to conform to the assumption of normal distribution or standardisation. There are two main applications of normalization, 1) to eliminate variations of scores in repeated measures on the same response variable on the same subject. 2) to convert different scale sets into a common scale. In your case, it is nothing to do with normalization. In fact, your study is a two-factor design (forms of species and treatments). That means, you are looking for whether forms of species and treatments would have any effect on the life span. There will be three possible results, 1. Both forms and treatments would affect the life span, i.e. interaction effect, or 2. Only species forms would affect the life span, or 3. Only treatments would affect the life span. For survival analysis, you may use Cox Regression. But if there is no censored data on your study, which survival analysis is specialized at, then you may use two-way ANOVA instead which is more easy to interpret the result.