Medical datasets suffer from three types of missingness: MCAR (Missing Completely at Random), MAR (Missing at Random), and MNAR (Missing Not at Random). A comprehensive PDF would demonstrate:
A comprehensive guide to statistical analysis of medical data using SAS includes data cleaning, descriptive statistics, and advanced modeling like regression and mixed models for clinical insights. Key features also include specialized survival analysis using PROC LIFETEST, diagnostic test evaluation via AUC, and regulatory compliant reporting. For a foundational guide on these analyses, refer to the handbook provided on ResearchGate . Statistical Analysis of Medical Data Using SAS.pdf
The log window flickered. NOTE: The data set WORK.CLEAN_PATIENTS has 3998 observations and 12 variables. Medical datasets suffer from three types of missingness: