Related Experiment Video
Updated: Jul 3, 2026

An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
Clinical trials simulation: a statistical approach
Peter H Westfall1, Kuenhi Tsai, Stephan Ogenstad
1Texas Tech University, Lubbock, Texas 79409-2101, USA. peter.westfall@ ttu.edu
Abstract:
A generic template for clinical trials simulations that are typically required by statisticians is developed. Realistic clinical trials data sets are created using a unifying model that allows general correlation structures for endpoint*timepoint data and nonnormal distributions (including time-to-event), and computationally efficient algorithms are presented. The model allows for patient dropout and noncompliance. A grid-enabled SAS-based system has been developed to implement this model; details are presented summarizing the system development. An example illustrating use of the system is given.
Related Concept Videos
Clinical Trials
There are four phases in a clinical trial. A phase one...
Study Design in Statistics
Does aspirin reduce the risk of heart attacks? Is one brand of fertilizer more effective at growing roses than another? Is fatigue as dangerous to a driver as the influence of alcohol? Questions like these are answered using randomized experiments with proper...
Statistical Software for Data Analysis and Clinical Trials
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...
Clinical Trials: Overview
Survival Curves
The Kaplan-Meier estimator is the most common method for constructing survival curves. This...
