Statistical considerations in the design and analysis of cross-over trials
type: CreativeWork
description: Cross-over designs are frequently used in clinical trials, usually to compare two treatments. It has long been known that the simple two-period cross-over is adversely affected by the presence of carry-over effects, but it is nevertheless still commonly used. This thesis examines the problems caused by carry-over effects in detail and considers ways of overcoming these problems, either by using a more complex cross-over design, or by carrying out a more sophisticated statistical analysis. Only designs for comparing two treatments are considered, but analysis for continuous and binary variables is covered.
abstract: Cross-over designs are frequently used in clinical trials, usually to compare two treatments. It has long been known that the simple two-period cross-over is adversely affected by the presence of carry-over effects, but it is nevertheless still commonly used. This thesis examines the problems caused by carry-over effects in detail and considers ways of overcoming these problems, either by using a more complex cross-over design, or by carrying out a more sophisticated statistical analysis. Only designs for comparing two treatments are considered, but analysis for continuous and binary variables is covered.
author: Morrey, Gilbert Heneage
license: https://dora.dmu.ac.uk/bitstreams/4a58e4de-d0cc-4bcc-83c0-820784c493fc/download
date published: 1991-08
date modified: 2026-07-24T06:18:33Z
provider: De Montfort University
publisher: Networked Digital Library of Theses and Dissertations
type: WebPage
source organization: De Montfort University