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1College of Medicine, University of Malawi, South Africa
2Department of Public Health, University of Malawi, South Africa
3Liverpool School of Tropical 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
ISSN: 2578-0247Volume1 Issue1
A common measure of treatment effect in malaria efficacy studies is the risk difference, which can be estimated using binomial regression models. These models can fail to provide estimates, however, due to model failure or model convergence problems. Such failure most commonly occurs when the rate is close to 0% or 100% (a “boundary problem”) but can also occur occasionally even when the rate is not close to a boundary. This paper reports the findings from simulation studies performed to evaluate the factors that may contribute to model failure when using binomial regression to derive risk difference estimates.
Convergence rates were found to fall:
i) As one or both efficacy rates moved towards a boundary value, irrespective of the number of covariates included in the model;
ii) As the numbers of covariates in the model increased;
iii) As the levels of correlation between covariates the covariates increased. In all circumstances, convergence was poor when the efficacy rate in either group was 90% or more.
Ph.D in Agriculture from Faculty of Agriculture, Tohoku University
Research Professor, PhD, Holistic Research Institute
Professor, Chief Doctor, Director of Department of Pediatric Surgery, Associate Director of Department of Surgery, Doctoral Supervisor Tongji hospital, Tongji medical college, Huazhong University of Science and Technology
Senior Research Engineer and Professor, Center for Refining and Petrochemicals, Research Institute, King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia
Fellow of International Agency for Standards and Ratings (IASR), Edith Cowan University, Sarich Neuroscience Research Institute
Chancellor Emeritus / Professor Emeritus of Chemistry and Physics, University of Missouri–St. Louis
Ph.D in Science from the Federal University of Alagoas, UFAL, Brazil
Assistant Professor in College of Architecture, Art and Design
Interim Dean, College of Education and Health Sciences, Director of Biomechanics Laboratory, Sport Science Innovation Program, Bridgewater State University
Professor of numerous training courses in Family Medicine
Assistant Professor, Department of Electronics and Computer Science
Emeritus Professor of Physics, Kadir Has University, Turkey
Wenzhou Medical University, China
Fooyin University, Taiwan
Saglik Bilimleri University, Turkey
Vincent Pol University, Poland
National Defence University of Malaysia, Malaysia
Dogus University, Turkey
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Indian Institute of Technology Kharagpur, India
Council for Agriculture Research and Analysis of Agri Economy (CREA), Italy
King Fahd University of Petroleum and Minerals, Saudi Arabia
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Islamic Azad University Central Tehran Branch, Iran
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Paeditric Hospital "Giovanni XXIII", Italy
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