Bias, precision and statistical power of analysis of covariance in the analysis of randomized trials with baseline imbalance: a simulation study

Egbewale, Bolaji E; Lewis, Martyn; Sim, Julius

Abstract

Analysis of variance (ANOVA), change-score analysis (CSA) and analysis of covariance (ANCOVA) respond differently to baseline imbalance in randomized controlled trials. However, no empirical studies appear to have quantified the differential bias and precision of estimates derived from these methods of analysis, and their relative statistical power, in relation to combinations of levels of key trial characteristics. This simulation study therefore examined the relative bias, precision and statistical power of these three analyses using simulated trial data.

Citation

Egbewale, B. E., Lewis, M., & Sim, J. (2014). Bias, precision and statistical power of analysis of covariance in the analysis of randomized trials with baseline imbalance: a simulation study. BMC medical research methodology, 14(1), https://doi.org/10.1186/1471-2288-14-49

• Journal Article Type: Article
• Online Publication Date: Apr 9, 2014
• Publication Date: 2014-12
• Deposit Date: Jun 6, 2023
• Journal: BMC Medical Research Methodology
• Print ISSN: 1471-2288
• Publisher: Springer Verlag
• Peer Reviewed: Peer Reviewed
• Volume: 14
• Issue: 1
• DOI: https://doi.org/10.1186/1471-2288-14-49
• Keywords: Health Informatics; Epidemiology
• Additional Information: Received: 30 November 2013; Accepted: 31 March 2014; First Online: 9 April 2014