Training On Epidemiological Data Analysis Using Stata

  • Overview

  • INTRODUCTION

    Because of Stata's particular epidemiologic commands, accuracy, and usability, epidemiologists have relied on it for more than 30 years. Stata offers the data management and statistical capabilities to help your research, whether you are looking into infectious diseases, pathogen exposure, or chronic diseases. Additionally, it enables you to create graphics of publishing quality, allowing you to concisely present your findings.

    COURSE OBJECTIVES

    DURATION

    5 days

    WHO SHOULD ATTEND

    The course is appropriate for aspiring epidemiologists, biostatisticians, as well as active researchers including doctors, lab scientists, and social scientists. Participants should be comfortable with Basic Statistics and the Stata statistical software.

    COURSE OUTLINE

    Principles of Epidemiology

    • Terms and concepts of epidemiology
    • Samples and population
    • Disease measurement (Prevalence and incidence
    • Study design

    o Cohort studies

    o Observational studies

    o Case control studies

    • Risk factors measurements
    • Exercises

    Basic analytical procedures

    • Data type and analysis basic concepts
    • Statistical models used in epidemiology Stata software

    o Chi-square,

    o t-test,

    o Mann-Whitney

    o ANOVA, ANCOVA,

    o Simple and multiple linear regressions,

    o Logistic regression.

    • Exercises

     Sample size determination

    • Calculation of sample size
    • Sampling weight
    • Statistical power
    • Construction of valid groups of comparison
    • 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

    • Duration outcomes analysis
    • Probability of survival estimation
    • Modeling survival as a function of covariates using Cox, Weibull, lognormal, and other regression models.
    • Prediction of hazard ratios
    • Exercises

    Cohort Design

    • Analysis of standard cohort
    • Weighting of sample
    • Variance adjustments
    • Parametric models: poisson regression, Flexible Parametric survival Models (FPM)
    • Exercises

    Case Control Studies

    • Concepts of case control cohort
    • Cases s election
    • Control selection
    • Matching
    • Case control odds ratio
    • Case cohort studies
    • Exercises

    GENERAL NOTES

    • Our seasoned instructors, who have years of experience as seasoned professionals in their respective fields of work, will be teaching this course. A combination of practical exercises, theory, group projects, and case studies are used to teach the course.
    • The participants receive training manuals and supplementary reading materials.
    • Participants who complete this course successfully will receive a certificate.
    • We can also create a course specifically for your organization to match your needs. To learn more, get in touch with us at training@dealsontrainers.org.
    • The training will take place at DEALSON TRAINERS IN NAIROBI, KENYA in Nairobi, Kenya.
    • The training fee includes lunch, course materials, and lodging for the training session. Upon request, we may arrange for our participants' lodging and transportation to the airport.
    • Payment must be made to our bank account before the training begins, and documentation of payment should be emailed to training@dealsontrainers.org

Course Schedule:
Dates Duration Fees Location Action