Custom Tables, Listings, and Figures (TLFs) Using Python, R, and SAS? Software

A "virtual" online event that teaches attendees how to produce "custom" TLFs using Python, R, and SAS software.

To Register for this "virtual" training course, click the link, below.

I want to register for this "virtual" online course.

Course Description

The streamlined production of Tables, Listings, and Figures (TLFs) in a clinical study represents essential elements of a Statistical Analysis Plan (SAP) by providing answers to regulatory questions along with the necessary support documentation for the clinical data contained in them. Tables are derived from source data and often involve the manipulation of data, listings represent the various reports that are generated in file formats like Rich Text Format (RTF), and figures represent graphical output that provides visual clarity and understanding of the data. This course provides attendees with an introduction to the production of TLFs using Python, R, and SAS? software.

?

Course Topics

• Introduction to Tables, Listings, and Figures (TLFs) in Clinical Studies.
• Terms, Abbreviations, Acronyms, and Definitions.
• Statistical Analysis Plan (SAP) Defined.
• Highlight a SAP for Clinical Studies.
• Review ICH E3 and Clinical Study Report (CSR) Template.
• Explore an Example Clinical Study Report (CSR).
• Explore the Types of Data: Nominal, Ordinal, Interval, and Ratio.
• A High-level Introduction to Python, R, and SAS software.
• Process of Data Preparation: Data Cleaning, Data Manipulation, Data Transformation, TLF Planning.
• Example Tables, Listings, and Figures (TLFs).
• Process of Producing Tables, Listings, and Figures (TLFs).
• Packages used to produce TLFs in Python: Rich Text Format (RTF) Output - Pandas, numpy, scikit, matplotlib.
• Packages used to produce TLFs in R: Rich Text Format (RTF) Output - Tidyverse (Data Manipulation), atable, r2rtf (Reporting in RTF Format).
• Procedures used to produce TLFs in SAS software: Categorical Data: PROCs – FREQ, SGPLOT, LOGISTIC, GENMOD, GLIMMIX; Continuous Data: PROCs – MEANS, UNIVARIATE, TTEST, NPAR1WAY, GLM, REG, MIXED, NLIN, NLMIXED; Graphing Data: PROCs – UNIVARIATE (Histograms, QQPlots), Statistical Graphics (SG) SGPLOT (Histograms, BoxPlots, BarCharts, ScatterPlots, RegressionPlots, ScatterPlot Matrix), Graph Template Language (GTL); Rich Text Format (RTF) Output: PROCs – SORT, FORMAT, SQL, TRANSPOSE, REPORT, TABULATE, Output Delivery System (ODS); Process of using ODS DOCUMENT in the Creation of TLFs.
• TLF Validation Activities.
• Sample Programs to Manage a Large Numbers of TLFs.
• Assembling the TLFs.

?

Intended Audience: Programmers, Statistical Programmers, Clinical Scientists, Statisticians, Data Managers, and Others desiring to learn how to produce Tables, Listings, and Figures (TLFs) using Python, R, and SAS Software.

Prerequisites: Basic understanding of Statistics, but No previous Python, R, and SAS experience required

Delivery Method: Instructor-led workshop with code examples

Agenda: Day 1: 5-Hours plus 2-Hours Q&A

Day 2: 5-Hours plus 2-Hours Q&A

Course Date and Time: October 18 – 19, 2023 from 10 AM to 5 PM PDT

Cost: $750 per Attendee

Course Material: e-Course Notes (PDF Format) and code are provided to Attendees.

?

Instructor Bio for Kirk Paul Lafler

Kirk Paul Lafler is a developer, programmer, consultant, educator, and data analyst; and works as a lecturer and adjunct professor at San Diego State University and at the University of California San Diego Extension. Kirk also teaches SAS, SQL, Python, Excel, and cloud-based technology courses, workshops, and webinars to users around the world. With nearly 50 years of programming experience, Kirk specializes in SAS software, SQL, RDBMS technologies (Oracle, SQL-Server, Teradata, DB2), Python, and other languages and productivity tools. Kirk’s recent books include PROC SQL: Beyond the Basics Using SAS, Third Edition (SAS Press. 2019), along with numerous papers and articles on a variety of SAS, SQL, and Python topics. Kirk is actively involved with international, regional, and local SAS, SQL, and Python user groups and conferences serving as an Invited speaker, educator, keynote, and section leader; and is the recipient of 27 “Best” contributed paper, hands-on workshop (HOW), and poster awards.

To Register for this "virtual" training course, click the link, below.

I want to register for this "virtual" online course.