5. Clinical Epidemiological and Statistical Challenges in Defining, Recording and Analysing Endpoints
- Roberto de Franchis MD, AGAF Professor of Gastroenterology Head
Published Online: 17 NOV 2010
DOI: 10.1002/9781444393989.ch5
Copyright © 2011 Blackwell Publishing Ltd
Book Title

Portal Hypertension V: Proceedings of the Fifth Baveno International Consensus Workshop, Fifth Edition
Additional Information
How to Cite
Sørensen, T. I. and Andersen, P. K. (2011) Clinical Epidemiological and Statistical Challenges in Defining, Recording and Analysing Endpoints, in Portal Hypertension V: Proceedings of the Fifth Baveno International Consensus Workshop, Fifth Edition (ed R. de Franchis), Wiley-Blackwell, Oxford, UK. doi: 10.1002/9781444393989.ch5
Editor Information
Department of Medical Sciences, University of Milan, and Gastroenterology 3 Unit, IRCCS Ca' Granda Ospedale Maggiore Policlinico Mangiagalli and Regina Elena Foundation, Milan, Italy
Publication History
- Published Online: 17 NOV 2010
- Published Print: 14 JAN 2011
ISBN Information
Print ISBN: 9781444334494
Online ISBN: 9781444393989
- Summary
- Chapter
- References
Keywords:
- clinical epidemiological and statistical challenges - recording and analysing endpoints;
- patients with portal hypertension - and clinical course;
- regression models, influence of covariates - or patient characteristics;
- prognosis assessment, recording - clinically relevant endpoints;
- non-differential - versus differential misclassifications;
- time, fundamental dimension - in clinical epidemiology;
- timescale choice, and cohort investigation - of who is at risk;
- surrogate endpoints, a marker of assumed underlying true endpoint;
- competing endpoints, and special precautions - in data analyses, avoiding bias;
- changes over time in risk
Summary
This chapter contains sections titled:
Introduction
Clinical course in patients with portal hypertension
Clinical epidemiology deals with these problems
Statistical tools
Definition and recording of endpoints
Definition of observation time
Surrogate endpoints
Combined endpoints
Competing endpoints
Changes over time in risk
Correlated endpoints
Repeated endpoints and multistate models
References
