Statistical Analysis Of Medical Data Using Sas.pdf =link= Jun 2026

The value was 0.034.

| Problem | Typical Error | SAS Solution from the PDF | | :--- | :--- | :--- | | | Running 20 t-tests and claiming significance | PROC MULTTEST with Bonferroni or FDR correction | | Overfitting | Including 30 predictors for 100 patients | PROC LOGISTIC with selection=stepwise or LASSO via PROC HPGENSELECT | | Confounding | Ignoring age or sex differences | PROC PHREG or PROC GLM with covariate adjustment | | Missing Not At Random (MNAR) | Deleting all missing rows | PROC MI and PROC MIANALYZE for Rubin’s rules | Statistical Analysis of Medical Data Using SAS.pdf

For a truly thorough , advanced topics would be included to handle modern trial designs: The value was 0