Biostatistics
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Introduction

Statistics is the concept of population and sample. Descriptive statistics. Frequency distributions, graphical representation of distributions, measures of skew-ness and  kurtosis. Categorical data and proportion data.

 Introduction to probability. Laws  and properties of probability.  Normal, binomial and Poisson distributions. Chi square test and test for goodness of fit.

The theory of estimation , standard errors and confidence intervals;  Hypothesis testing, the concepts of null hypothesis, significance level, type I and II errors, one- tailed and two-tailed tests, comparison of two sample means, t-tests, analysis of variance(ANOVA),  regression and correlation analysis.

Introduction to multivariate analysis, multiple regression analysis.

Study design, experimental design. Sampling and sample size determination.

Non-parametric statistics and tests.

Biostatistics Head

Dr. Gerald M. Muchemi

BVM, (UoN), M.Sc. (University of Guelph, Canada) and a Ph.D. (University of Liverpool, UK

Dr. Muchemi teaches Biostatistics, Epidemiology and Wildlife Medicine to Diploma, Undergraduate and Postgraduate students. He continues to conduct research and supervise both MSc and PhD students. View Dr. Muchemi's profile
Teaching and Technical Staff  

Dr. Joshua Orungo

BVM, MVEE (UoN), PhD ongoing at University of London

Dr. Onono's areas of specialization include Veterinary Epidemiology and Economics. View Dr. Onono's profile
   

Mrs. Dorcas W. Nduati

Dip, HND, BPHIL (Applied Statistics) - Technical University of Kenya (TUK)

Dorcas is in charge of computer laboratory. She is also interested in research, data analysis and assists undergraduate and postgraduate students in Biostatistics practicals. View Dorcas profile
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