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      Training on Epidemiological Data Analysis Using Stata in Nairobi

      • Training on Epidemiological Data Analysis Using Stata Photo #1
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      June 1, 2020

      Monday   8:00 AM - 4:30 PM

      Muthithi Road
      Nairobi, Nairobi Municipality

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      Training on Epidemiological Data Analysis Using Stata

      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

      o Intervention studies

      o Cohort studies

      o Case control studies

      o Observational studies

      Measuring the risk factor

      Basic analytical procedures

      Review of Stata software
      Basic concepts about data type and analysis
      Introduction to basic Statistical models used in epidemiology

      o Chi-square,

      o t-test,

      o Mann-Whitney

      o ANOVA, ANCOVA,

      o simple and multiple linear regressions,

      o logistic regression.


      Sample size determination

      Sample size calculation,
      Sampling weight
      Statistical power
      Constructing valid comparison groups

      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

      Cohort Design

      Standard cohort analysis
      Sample weighting
      Adjustment of variance
      Parametric models: poisson regression, Flexible Parametric survival Models (FPM)

      Case Control Studies

      Basic design concepts
      Selection of Cases
      Selection of Control
      Odds ratio for case control
      Case cohort studies

      Note: This course outline is for guidance purposes and will be customized according to the participant’s requirements.
      Training Approach

      This course is delivered by our seasoned trainers who have vast experience as expert professionals in the respective fields of practice. The course is taught through a mix of practical activities, theory, group works and case studies.

      Training manuals and additional reference materials are provided to the participants.

      Upon successful completion of this course, participants will be issued with a certificate.
      Tailor-Made Course

      We can also do this as tailor-made course to meet organization-wide needs. Contact us to find out

      Cost: Kenyan Cost (KES) 80,000 Non Kenyan Cost ($) 950

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