Session 3: Methods - Table 1: SAS and R Tools to Build Summary Statistics Tables

Paul Thompson, Sanford Research

Presentation Type

Event

Abstract

In presenting clinical data, Table 1 is used to present demographic, clinical, and pre-treatment data for trials. This includes continuous variables (age, BP, BMI - presented as means&stddev or median-IQR) and discrete variables (gender, race, cancer stage - presented as proportions-counts). While the actual statistical/data analytic techniques involved are trivial, constructing such tables takes a lot of time as results must be assembled into standard tables. Automating this is a huge time saver. SAS and R methods for building this table in a consistent manner are presented.

Start Date

2-12-2018 11:00 AM

End Date

2-12-2018 12:00 PM

This document is currently not available here.

Share

COinS
 
Feb 12th, 11:00 AM Feb 12th, 12:00 PM

Session 3: Methods - Table 1: SAS and R Tools to Build Summary Statistics Tables

University Student Union: Dakota Room 250 A/C

In presenting clinical data, Table 1 is used to present demographic, clinical, and pre-treatment data for trials. This includes continuous variables (age, BP, BMI - presented as means&stddev or median-IQR) and discrete variables (gender, race, cancer stage - presented as proportions-counts). While the actual statistical/data analytic techniques involved are trivial, constructing such tables takes a lot of time as results must be assembled into standard tables. Automating this is a huge time saver. SAS and R methods for building this table in a consistent manner are presented.