SAS Macros for Clinical Table Generation
A practical guide to building reusable SAS macros for clinical table generation, including macro parameters, dynamic titles and footnotes, treatment columns, statistical summaries, PROC REPORT integration, validation, and a complete adverse-event table example.
Validating SAS Programs in Regulated Environments
A practical guide to validating SAS programs in regulated clinical research environments, including validation planning, risk assessment, independent programming, QC, test cases, traceability, change control, audit trails, documentation, and inspection readiness.
SAS vs. R for CDISC Programming
A practical guide comparing SAS and R for CDISC programming, including SDTM, ADaM, controlled terminology, derivations, validation, transport files, Define-XML, regulatory submission workflows, reproducibility, and production programming.
SAS PROC REPORT for TLF Development
A practical guide to SAS PROC REPORT for clinical trial Tables, Listings, and Figures, including report columns, ACROSS variables, COMPUTE blocks, BREAK and RBREAK statements, spanning headers, ODS RTF and PDF output, formatting, pagination, and production TLF programming patterns.
SAS PROC MIXED for Repeated Measures
A practical guide to SAS PROC MIXED for repeated-measures analysis, including longitudinal clinical-trial data, fixed effects, covariance structures, repeated statements, LS-means, Kenward-Roger degrees of freedom, missing data, model selection, interpretation, and validation.
SAS PROC LOGISTIC Walkthrough
A practical, end-to-end walkthrough of SAS PROC LOGISTIC for binary, ordinal, and multinomial logistic regression, including CLASS variables, odds ratios, model selection, diagnostics, ROC analysis, predicted probabilities, clinical-trial examples, and reporting.
SAS PROC LIFETEST for Survival Analysis
A practical guide to SAS PROC LIFETEST for clinical trial survival analysis, including Kaplan-Meier estimation, censoring, median survival, confidence intervals, log-rank tests, stratified analysis, output data sets, survival plots, and practical SAS programming patterns.
SAS PROC GLIMMIX Explained
A practical guide to SAS PROC GLIMMIX for generalized linear mixed models, including binary, count, ordinal, repeated-measures, clustered, longitudinal, fixed-effect, random-effect, covariance, estimation, odds-ratio, least-squares-means, and clinical-trial applications.
SAS PROC FREQ for Categorical Data Analysis
A practical guide to SAS PROC FREQ for categorical data analysis, including one-way frequency tables, two-way contingency tables, chi-square tests, Fisher
Creating RTF Outputs with SAS ODS
A practical guide to creating RTF outputs with SAS ODS, including ODS RTF syntax, styles, titles, footnotes, page breaks, PROC REPORT, ODS Graphics, multi-table documents, debugging, and validation.