Impact of analysing continuous outcomes using final values, change scores and analysis of covariance on the performance of meta‐analytic methods: a simulation study. (29th December 2015)
- Record Type:
- Journal Article
- Title:
- Impact of analysing continuous outcomes using final values, change scores and analysis of covariance on the performance of meta‐analytic methods: a simulation study. (29th December 2015)
- Main Title:
- Impact of analysing continuous outcomes using final values, change scores and analysis of covariance on the performance of meta‐analytic methods: a simulation study
- Authors:
- McKenzie, Joanne E.
Herbison, G. Peter
Deeks, Jonathan J. - Abstract:
- Abstract : When meta‐analysing intervention effects calculated from continuous outcomes, meta‐analysts often encounter few trials, with potentially a small number of participants, and a variety of trial analytical methods. It is important to know how these factors affect the performance of inverse‐variance fixed and DerSimonian and Laird random effects meta‐analytical methods. We examined this performance using a simulation study. Meta‐analysing estimates of intervention effect from final values, change scores, ANCOVA or a random mix of the three yielded unbiased estimates of pooled intervention effect. The impact of trial analytical method on the meta‐analytic performance measures was important when there was no or little heterogeneity, but was of little relevance as heterogeneity increased. On the basis of larger than nominal type I error rates and poor coverage, the inverse‐variance fixed effect method should not be used when there are few small trials. When there are few small trials, random effects meta‐analysis is preferable to fixed effect meta‐analysis. Meta‐analytic estimates need to be cautiously interpreted; type I error rates will be larger than nominal, and confidence intervals will be too narrow. Use of trial analytical methods that are more efficient in these circumstances may have the unintended consequence of further exacerbating these issues. © 2015 The Authors. Research Synthesis Methods published by John Wiley & Sons, Ltd. © 2015 The Authors. ResearchAbstract : When meta‐analysing intervention effects calculated from continuous outcomes, meta‐analysts often encounter few trials, with potentially a small number of participants, and a variety of trial analytical methods. It is important to know how these factors affect the performance of inverse‐variance fixed and DerSimonian and Laird random effects meta‐analytical methods. We examined this performance using a simulation study. Meta‐analysing estimates of intervention effect from final values, change scores, ANCOVA or a random mix of the three yielded unbiased estimates of pooled intervention effect. The impact of trial analytical method on the meta‐analytic performance measures was important when there was no or little heterogeneity, but was of little relevance as heterogeneity increased. On the basis of larger than nominal type I error rates and poor coverage, the inverse‐variance fixed effect method should not be used when there are few small trials. When there are few small trials, random effects meta‐analysis is preferable to fixed effect meta‐analysis. Meta‐analytic estimates need to be cautiously interpreted; type I error rates will be larger than nominal, and confidence intervals will be too narrow. Use of trial analytical methods that are more efficient in these circumstances may have the unintended consequence of further exacerbating these issues. © 2015 The Authors. Research Synthesis Methods published by John Wiley & Sons, Ltd. © 2015 The Authors. Research Synthesis Methods published by John Wiley & Sons, Ltd. … (more)
- Is Part Of:
- Research synthesis methods. Volume 7:Number 4(2016:Oct./Dec.)
- Journal:
- Research synthesis methods
- Issue:
- Volume 7:Number 4(2016:Oct./Dec.)
- Issue Display:
- Volume 7, Issue 4 (2016)
- Year:
- 2016
- Volume:
- 7
- Issue:
- 4
- Issue Sort Value:
- 2016-0007-0004-0000
- Page Start:
- 371
- Page End:
- 386
- Publication Date:
- 2015-12-29
- Subjects:
- meta‐analysis -- continuous outcomes -- final values -- change scores -- ANCOVA -- small sample properties
Research -- Methodology -- Periodicals
Research -- Statistical methods -- Periodicals
507.2 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1759-2887 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/jrsm.1196 ↗
- Languages:
- English
- ISSNs:
- 1759-2879
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 7773.705700
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 1165.xml