Statistical Analysis Of Medical Data Using Sas.pdf -
Note: Be cautious of outdated PDFs referencing SAS 8.x or deprecated procedures like PROC INSIGHT .
| 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
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Medical data frequently uses 2x2 tables for efficacy and safety endpoints (e.g., Response vs. No Response). SAS provides: No Response)
| Pitfall | How to Use the PDF | |--------|----------------------| | Misinterpreting p-values in medical context | Find section on clinical vs. statistical significance. | | Ignoring missing data patterns | Review how to use PROC MI or PROC FREQ with missing flags. | | Violating model assumptions | Check diagnostic sections (residual plots for PROC REG , proportional hazards test for PROC PHREG ). | | Overlooking multiple comparisons | Locate adjustment methods (Bonferroni, false discovery rate) using PROC MULTTEST . |