The Resource How to design, analyse and report cluster randomised trials in medicine and health related research, Michael J. Campbell and Stephen J. Walters

How to design, analyse and report cluster randomised trials in medicine and health related research, Michael J. Campbell and Stephen J. Walters

Label
How to design, analyse and report cluster randomised trials in medicine and health related research
Title
How to design, analyse and report cluster randomised trials in medicine and health related research
Statement of responsibility
Michael J. Campbell and Stephen J. Walters
Creator
Contributor
Author
Subject
Language
eng
Summary
"A much-needed guide to the design and analysis of cluster randomized trials, How to Design, Analyse and Report Cluster Randomised Trials in Medicine and Health Related Research delivers practical guidance on the design and analysis of cluster randomised trials (cRCTs) in healthcare research. Detailing how to use Stata and SPSS and R for statistical analysis, each analysis technique is carefully explained with mathematics kept to a minimum. Written in a clear, accessible style by experienced statisticians, the text provides a practical approach for applied statisticians and biomedical researchers"--Provided by publisher
Member of
Cataloging source
DLC
Dewey number
610.72/4
Index
index present
LC call number
R853.C55
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
Series statement
Statistics in practice
Label
How to design, analyse and report cluster randomised trials in medicine and health related research, Michael J. Campbell and Stephen J. Walters
Publication
Bibliography note
Includes bibliographical references and index
http://library.link/vocab/branchCode
  • net
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • Statistics in Practice; Title Page; Copyright; Preface; Acronyms and abbreviations; Chapter 1: Introduction; 1.1 Randomised controlled trials; 1.2 Complex interventions; 1.3 History of cluster randomised trials; 1.4 Cohort and field trials; 1.5 The field/community trial; 1.6 The cohort trial; 1.7 Field versus cohort designs; 1.8 Reasons for cluster trials; 1.9 Between- and within-cluster variation; 1.10 Random-effects models for continuous outcomes; 1.11 Random-effects models for binary outcomes; 1.12 The design effect; 1.13 Commonly asked questions; 1.14 Websources; Chapter 2: Design issues
  • 2.1 Introduction2.2 Issues for a simple intervention; 2.3 Complex interventions; 2.4 Recruitment bias; 2.5 Matched-pair trials; 2.6 Other types of designs; 2.7 Other design issues; 2.8 Strategies for improving precision; 2.9 Randomisation; Exercise; Appendix 2.A; Chapter 3: Sample size: How many subjects/clusters do I need for my cluster randomised controlled trial?; 3.1 Introduction; 3.2 Sample size for continuous data -- comparing two means; 3.3 Sample size for binary data -- comparing two proportions; 3.4 Sample size for ordered categorical (ordinal) data; 3.5 Sample size for rates
  • 3.6 Sample size for survival3.7 Equivalence/non-inferiority studies; 3.8 Unknown standard deviation and effect size; 3.9 Practical problems; 3.10 Number of clusters fixed; 3.11 Values of the ICC; 3.12 Allowing for imprecision in the ICC; 3.13 Allowing for varying cluster sizes; 3.14 Sample size re-estimation; 3.15 Matched-pair studies; 3.16 Multiple outcomes/endpoints; 3.17 Three or more groups; 3.18 Crossover trials; 3.19 Post hoc sample size calculations; 3.20 Conclusion: Usefulness of sample size calculations; 3.21 Commonly asked questions; Exercise; Appendix 3.A
  • 5.3 Linear regression with robust standard errors5.4 Random-effects general linear models in a cohort study; 5.5 Marginal general linear model with coefficients estimated by generalised estimating equations (GEE); 5.6 Summary of methods; 5.7 Adjusting for individual-level covariates in cohort studies; 5.8 Adjusting for cluster-level covariates in cohort studies; 5.9 Models for cross-sectional designs; 5.10 Discussion of model fitting; Exercise; Appendix 5.A; Chapter 6: Regression methods of analysis for binary, count and time-to-event outcomes for a cluster randomised controlled trial
  • Chapter 4: Simple analysis of cRCT outcomes using aggregate cluster-level summaries4.1 Introduction; 4.2 Aggregate cluster-level analysis-carried out at the cluster level, using aggregate summary data; 4.3 Statistical methods for continuous outcomes; 4.4 Mann-Whitney U test; 4.5 Statistical methods for binary outcomes; 4.6 Analysis of a matched design; 4.7 Discussion; 4.8 Commonly asked question; Exercise; Chapter 5: Regression methods of analysis for continuous outcomes using individual person-level data; 5.1 Introduction; 5.2 Incorrect models
Control code
ocn865452430
Extent
1 online resource
Form of item
online
Isbn
9781306638135
Lccn
2013049660
Media category
computer
Media MARC source
rdamedia
Media type code
c
http://library.link/vocab/recordID
.b3025372x
Specific material designation
remote
System control number
  • (OCoLC)865452430
  • pebco1118763459

Library Locations

    • Deakin University Library - Geelong Waurn Ponds CampusBorrow it
      75 Pigdons Road, Waurn Ponds, Victoria, 3216, AU
      -38.195656 144.304955
Processing Feedback ...