SAS Programming Master Classes : How to Develop TABLE 1_9 in SAS for Clinical Data Analysis - 10

In this video, we dive deep into the creation of the Vital Signs Table (14.1.9), a crucial aspect of clinical data analysis in SAS programming. Building on our previous discussion of the Adverse Event (AE) table, we now focus on developing the statistics required for the Vital Signs table. This tutorial walks you through the step-by-step process of creating summary statistics like mean, median, standard deviation, minimum, and maximum values for both the raw data (AAL variable) and the change from baseline (CHG variable) in a structured format.

We begin by understanding the mock shell of the table, ensuring we meet the exact requirements expected for clinical data reporting. The video covers everything from retrieving data from the ADaM dataset (ADVS) to processing and presenting the summary statistics by parameter, treatment, and visit. Additionally, we discuss how to format the data for presentation in PROC REPORT, ensuring that the output adheres to clinical standards such as decimal precision and correct variable placement.

Key topics include:

Understanding and setting up the Vital Signs Table (14.1.9)
Handling AAL and CHG variables for statistics
Using PROC SUMMARY to calculate n, mean, median, and standard deviation
Structuring the table with visit-wise and treatment-wise grouping
Formatting the report using PROC REPORT
Managing missing values and dealing with safety populations in clinical trials
By the end of this tutorial, you'll be able to confidently create Table 1.9 for clinical trials, ensuring compliance with industry standards. Whether you're a beginner or an experienced SAS programmer, this comprehensive guide will enhance your skills in generating clinical tables.

If you have any questions or need further clarification on any part of the table creation process, feel free to leave a comment. Don't forget to practice and apply what you've learned in your own SAS projects!

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