Hi,
I am not sure whats the best way to "control" for pubertal stage and gender in my analysis.
Actually, puberty is classified in 5 stages (1=prepubertal to 5=fully grown). To make it easier and also get more or less two groups with the same size, I also classified them into 1=prepubertal and 2=pubertal(stages2-5), which is valid from a clinical perspective.
So, what I want to do:
I want to see how continous marker X correlates with Insulin resistance (continous) AND if continous marker X is able to predict insulin resistance.
However, I am a bit stuck how to best implement pubertal status and gender in this analysis. it is likely that pubertal stage is somehow a confounding factor (since it is associated with insulin resistance), and maybe also gender.
--> How do I solve this? do a partial correlation with gender and puberty as cofactors? add them as first independent variables in a logistic regression model? how do I see/can say that puberty really influences the relation between marker X and insulin resistance?
If puberty is a confounder, it would then be possible to do two subgroup-analysis seperately evaluating the marker in prepubertal and pubertal children. (?)
thanks in advance!
Hello,
If your aim is to see how a continous marker X correlates with Insulin resistance (continous) AND if continous marker X is able to predict insulin resistance, and you have to control for covariates (puberty, gender), then you need a multiple linear regression where insulin resistance should be the outcome/response and marker X together with covariates should be the predictors.
You can see here how to do it in R,
https://www.r-bloggers.com/r-tutorial-series-multiple-linear-regression/
And here how to do it in SPSS:
https://statistics.laerd.com/spss-tutorials/multiple-regression-using-spss-statistics.php
Good luck with your work!
Ziegelasch, N., Vogel, M., Müller, E. et al. Cystatin C serum levels in healthy children are related to age, gender, and pubertal stage. Pediatr Nephrol 34, 449–457 (2019). https://doi.org/10.1007/s00467-018-4087-z
You want to see whether continuous variable x can predict insulin resistance which is also continuous variable. You want to control age and sex.
If you are using spss you split your data file on the basis of gender.
Now apply linear regression. Insulin resistance will be dependent and as covariates add variable x and age
You will get results of male and female in separate tables and age is controlled by linear regression
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