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      Training on Epidemiological Data Analysis Using Stata in Nairobi


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      August 26, 2019

      Monday   8:00 AM

      Muthithi Road
      Nairobi, Nairobi Municipality

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      EVENT DETAILS
      Training on Epidemiological Data Analysis Using Stata

      Click HERE to register About the course Epidemiologists have relied on Stata for over 30 years because of its specialized epidemiologic commands, accuracy, and ease of use. Whether you are researching infectious diseases, investigating exposure to pathogens, or studying chronic diseases, Stata provides the data management and statistical tools to support your research. It also gives you the ability to make publication-quality graphics so you can clearly display your findings. Target Participants The course is suitable for potential epidemiologists and biostatisticians and current researchers including clinicians, laboratory and social scientists. Participants should have knowledge of Basic Statistics and be familiar with the Statistical package Stata. Course duration 5 days Course Outline Principles of Epidemiology Epidemiology: concepts and terminology Population and Samples Measuring disease :Incidence and prevalence Study Design Intervention studies o Cohort studies Case control studies Observational studies Measuring the risk factor Exercises Basic analytical procedures Review of Stata software Basic concepts about data type and analysis Introduction to basic Statistical models used in epidemiology Chi-square, t-test, Mann-Whitney ANOVA, ANCOVA, simple and multiple linear regressions, logistic regression. Exercises  Sample size determination Sample size calculation, Sampling weight Statistical power Constructing valid comparison groups Exercises Epidemiological tables 2 × 2 and 2 × 2 stratified table for longitudinal, cohort study, case–control, and matched case–control data Odds ratio, incidence ratio, risk ratio, risk difference, and attributable fraction Chi-squared, Fishers’s exact, and Mantel–Haenszel tests Survival Analysis Analysis of duration outcomes Estimating the probability of survival Modeling survival as a function of covariates using Cox, Weibull, lognormal, and other regression models. Predict hazard ratios Exercises Cohort Design Standard cohort analysis Sample weighting Adjustment of variance Parametric models: poisson regression, Flexible Parametric survival Models (FPM) Exercises Case Control Studies Basic design concepts Selection of Cases Selection of Control Matching Odds ratio for case control Case cohort studies Exercises Note: This course outline is for guidance purposes and will be customized according to the participant’s requirements.

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