Designing psycho-oncology randomised trials and cluster randomised trials: Variance components and intra-cluster correlation of commonly used psychosocial measures

Melanie L Bell, Joanne E. McKenzie

Research output: Contribution to journalArticle

56 Citations (Scopus)

Abstract

Objective The study aims to provide information about variance components of psychosocial outcomes: within and between-participant variance, within-participant correlation and for cluster randomised trials, the intra-cluster correlation (ICC) and, also, to demonstrate how estimates of these variance components and ICCs can be used to design randomised trials and cluster randomised trials. Method Data from 15 longitudinal multi-centre psycho-oncology studies were analysed, and variance components including ICCs were estimated. Studies with psychosocial outcomes that had at least one measurement post-baseline including individual randomised controlled trials, cluster randomised trials and observational studies were included. Results Variance components and ICCs from 87 outcome measures were estimated. The unadjusted, single timepoint (first post-baseline) ICCs ranged from 0 to 0.16, with a median value of 0.022 and inter-quartile range 0 to 0.0605. The longitudinal ICCs ranged from 0 to 0.09 with a median value of 0.0007 and inter-quartile range 0 to 0.018. Conclusions Although the magnitude of variance components and ICCs used for sample-size calculation cannot be known in advance of the study, published estimates can help reduce the uncertainty in sample-size calculations. Psycho-oncology researchers should be conservative in their sample-size calculations and use approaches that improve efficiency in their design and analysis.

Original languageEnglish (US)
Pages (from-to)1738-1747
Number of pages10
JournalPsycho-Oncology
Volume22
Issue number8
DOIs
StatePublished - Aug 2013
Externally publishedYes

Fingerprint

Sample Size
Uncertainty
Observational Studies
Randomized Controlled Trials
Research Personnel
Outcome Assessment (Health Care)

Keywords

  • cancer
  • design
  • ICC
  • longitudinal
  • oncology
  • statistical methodology

ASJC Scopus subject areas

  • Oncology
  • Psychiatry and Mental health
  • Experimental and Cognitive Psychology

Cite this

@article{882d50a3d08a4e8590fd3b7478faf582,
title = "Designing psycho-oncology randomised trials and cluster randomised trials: Variance components and intra-cluster correlation of commonly used psychosocial measures",
abstract = "Objective The study aims to provide information about variance components of psychosocial outcomes: within and between-participant variance, within-participant correlation and for cluster randomised trials, the intra-cluster correlation (ICC) and, also, to demonstrate how estimates of these variance components and ICCs can be used to design randomised trials and cluster randomised trials. Method Data from 15 longitudinal multi-centre psycho-oncology studies were analysed, and variance components including ICCs were estimated. Studies with psychosocial outcomes that had at least one measurement post-baseline including individual randomised controlled trials, cluster randomised trials and observational studies were included. Results Variance components and ICCs from 87 outcome measures were estimated. The unadjusted, single timepoint (first post-baseline) ICCs ranged from 0 to 0.16, with a median value of 0.022 and inter-quartile range 0 to 0.0605. The longitudinal ICCs ranged from 0 to 0.09 with a median value of 0.0007 and inter-quartile range 0 to 0.018. Conclusions Although the magnitude of variance components and ICCs used for sample-size calculation cannot be known in advance of the study, published estimates can help reduce the uncertainty in sample-size calculations. Psycho-oncology researchers should be conservative in their sample-size calculations and use approaches that improve efficiency in their design and analysis.",
keywords = "cancer, design, ICC, longitudinal, oncology, statistical methodology",
author = "Bell, {Melanie L} and McKenzie, {Joanne E.}",
year = "2013",
month = "8",
doi = "10.1002/pon.3205",
language = "English (US)",
volume = "22",
pages = "1738--1747",
journal = "Psycho-Oncology",
issn = "1057-9249",
publisher = "John Wiley and Sons Ltd",
number = "8",

}

TY - JOUR

T1 - Designing psycho-oncology randomised trials and cluster randomised trials

T2 - Variance components and intra-cluster correlation of commonly used psychosocial measures

AU - Bell, Melanie L

AU - McKenzie, Joanne E.

PY - 2013/8

Y1 - 2013/8

N2 - Objective The study aims to provide information about variance components of psychosocial outcomes: within and between-participant variance, within-participant correlation and for cluster randomised trials, the intra-cluster correlation (ICC) and, also, to demonstrate how estimates of these variance components and ICCs can be used to design randomised trials and cluster randomised trials. Method Data from 15 longitudinal multi-centre psycho-oncology studies were analysed, and variance components including ICCs were estimated. Studies with psychosocial outcomes that had at least one measurement post-baseline including individual randomised controlled trials, cluster randomised trials and observational studies were included. Results Variance components and ICCs from 87 outcome measures were estimated. The unadjusted, single timepoint (first post-baseline) ICCs ranged from 0 to 0.16, with a median value of 0.022 and inter-quartile range 0 to 0.0605. The longitudinal ICCs ranged from 0 to 0.09 with a median value of 0.0007 and inter-quartile range 0 to 0.018. Conclusions Although the magnitude of variance components and ICCs used for sample-size calculation cannot be known in advance of the study, published estimates can help reduce the uncertainty in sample-size calculations. Psycho-oncology researchers should be conservative in their sample-size calculations and use approaches that improve efficiency in their design and analysis.

AB - Objective The study aims to provide information about variance components of psychosocial outcomes: within and between-participant variance, within-participant correlation and for cluster randomised trials, the intra-cluster correlation (ICC) and, also, to demonstrate how estimates of these variance components and ICCs can be used to design randomised trials and cluster randomised trials. Method Data from 15 longitudinal multi-centre psycho-oncology studies were analysed, and variance components including ICCs were estimated. Studies with psychosocial outcomes that had at least one measurement post-baseline including individual randomised controlled trials, cluster randomised trials and observational studies were included. Results Variance components and ICCs from 87 outcome measures were estimated. The unadjusted, single timepoint (first post-baseline) ICCs ranged from 0 to 0.16, with a median value of 0.022 and inter-quartile range 0 to 0.0605. The longitudinal ICCs ranged from 0 to 0.09 with a median value of 0.0007 and inter-quartile range 0 to 0.018. Conclusions Although the magnitude of variance components and ICCs used for sample-size calculation cannot be known in advance of the study, published estimates can help reduce the uncertainty in sample-size calculations. Psycho-oncology researchers should be conservative in their sample-size calculations and use approaches that improve efficiency in their design and analysis.

KW - cancer

KW - design

KW - ICC

KW - longitudinal

KW - oncology

KW - statistical methodology

UR - http://www.scopus.com/inward/record.url?scp=84880699643&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84880699643&partnerID=8YFLogxK

U2 - 10.1002/pon.3205

DO - 10.1002/pon.3205

M3 - Article

C2 - 23080401

AN - SCOPUS:84880699643

VL - 22

SP - 1738

EP - 1747

JO - Psycho-Oncology

JF - Psycho-Oncology

SN - 1057-9249

IS - 8

ER -