Abstract
Open Access Biostatistics & Bioinformatics Adjusted Risk Difference Estimation: An Assessment of Convergence Problems with Application to Malaria Efficacy Studies Mukaka Mavuto2,4,5*, White SA3 , Mwapasa V2, Kalilani-Phiri L2, Terlouw DJ1,2,3 and Faragher Brian E3 1College of Medicine, University of Malawi, Malawi 2Department of Public Health, University of Malawi, Malawi 3Liverpool School of Tropica! Medicine, UK 4Mahidol-Oxford Tropical Medicine Research Unit, Mahidol University, Thailand 5Nuffield Department of Medicine Research Building, University of Oxford, UK *Corresponding author: Mavuto Mukaka, Head of Statistics, Mahidol-Oxford Tropical Medicine Research Unit, Mahidol University, 60th Anniversary Chalermprakiat Building, 3rd Floor, 420/6 Ratchawithi Rd, Ratchathewi District, Bangkok, 10400, Thailand Submission: November 10, 2017; Published: December 22, 2017 DOI: 10.31031/OABB.2017.01.000502 ISSN: 2578-0247Volume1 Issue1
Highlights
In Randomized Controlled Trials (RCTs), treatment effect for binary outcomes is usually measured using a risk ratio, an odds ratio or a risk difference [1]
Risk differences are becoming more widely reported in RCTs, especially in malaria efficacy studies [2,3,4]
These are frequently used when the objective is to compare treatment effect between treatments as commonly used alternatives such as odds ratios and risk ratios can be difficult for general medical researchers to interpret [5]
Summary
In Randomized Controlled Trials (RCTs), treatment effect for binary outcomes is usually measured using a risk ratio, an odds ratio or a risk difference [1]. Risk difference estimation is preferred by many researchers because it is easier to interpret but for the arguably more important reason that it is frequently the most relevant and biologically sensible measure to report [11] and provides a clear interpretation of the scientific question of interest. That is, it directly answers the question of whether there is a difference in risk and/or efficacy between two groups
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