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Modelling antibody prevalence data using mixture modelsarticle
STATISTICS AND ECONOMETRICS
“Very professional, definitely will hire again ;) Happy to work with.”ween 3 years ago.
“Good communication and trustworthy in terms of delivering work. Very polite. However, it feels the job was attempted without giving good attention to the questions and their exact requirements. This is reflected on the lack of quality of the overall work which will probably lose lots of marks if submitted like that. I had to consult other people to complete the job myself.”Jocker2012 3 years ago.
Excel and graphs expert needed
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“Ohuma communicated with me through all phases of the project was very prompt in his work. When I asked questions, he got back to me with quality answers very quickly.”jose2292 3 years ago.
ECONOMETRICS / ECONOMICS 3rd Year UNI DISSERTATION
“months of data going backwards and forwards. Forgot what had previously been said. Failed to proof read any work done as i would receive a document, explain the changes needed, and then received a new document with those errors changed but previous errors re-occuring. Limited communication.”mbgimot 3 years ago.
Custom Project Nov 23 2011 22:36:31
“Overall did a great job.”kristk67 3 years ago.
StatisticianMay 2006 - Aug 2010 (4 years)
OfferIing statistical support in a wide range of research fields. These include expertise on protocol development, research study designs, sample size calculations, data management, data analysis using various statistical softwares (i.e. STATA, R & SPSS), statistical interpretation and scientific/medical report writing.
Masters of Science in medical statistics2008 - 2009 (1 year)
Bachelor of Scinece in Applied Statistics2000 - 2005 (5 years)
Evaluation of a measles vaccine campaign by oral-fluid surveys in a rural Kenyan district: interpretation of antibody prevalence data using mixture models
We evaluated the effectiveness of a measles vaccine campaign in rural Kenya, based on oral-fluid surveys and mixture-modelling analysis. Specimens were collected from 886 children aged 9 months to 14 years pre-campaign and from a comparison sample of 598 children aged 6 months post-campaign. Quantitative measles-specific antibody data were obtained by commercial kit. The estimated proportions of measles-specific antibody negative in children aged 0-4, 5-9 and 10-14 years were 51%, 42% and 27%, respectively,
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