/* Create a sample dataset */ data bp_data; input patient_id treatment bp_before bp_after; datalines; 1 0 120 130 2 1 140 110 3 0 110 125 4 1 130 105 ; run;
Perhaps the most critical section in any medical stats PDF is survival analysis. SAS excels here with PROC LIFETEST and PROC PHREG : Statistical Analysis of Medical Data Using SAS.pdf
For binary outcomes (Disease/No Disease; Death/Alive), the PDF must explain: /* Create a sample dataset */ data bp_data;
By mastering the contents of such a guide—from cleaning messy EMR data through PROC SQL to running a Cox regression on cancer survival times—you equip yourself to answer the most pressing questions in medicine: Does this treatment work? Is this biomarker predictive? What is the patient’s risk profile? What is the patient’s risk profile
(Note: In the hypothetical PDF, this would be explained as one-to-many and many-to-many merges, with warnings about cartesian products.)