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Training on Epidemiological Data Analysis Using Stata

By: Devimpact Institute

Kenya

19 - 23 Aug, 2024  5 days

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USD 950

Venue: Nairobi, Kenya

Other Dates

Venue Date Fee  
Nairobi, Kenya, Kenya 16 - 20 Sep, 2024 USD950
Nairobi, Kenya, Kenya 14 - 18 Oct, 2024 USD950
Nairobi, Kenya, Kenya 11 - 15 Nov, 2024 USD950
Nairobi, Kenya, Kenya 09 - 13 Dec, 2024 USD950

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 Epidemiological Data Analysis course suits potential epidemiologists, 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

Online    7 Days

Classroom-based    5 Days

Course Outline

Principles of Epidemiology

  • Epidemiology: concepts and terminology
  • Population and Samples
  • Measuring disease: Incidence and prevalence
  • Study Design
    • Intervention studies
    • 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.

Training Approach

This Epidemiological Data Analysis course is delivered by our seasoned trainers who have vast experience as expert professionals in Epidemiology. 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.

Certification

Upon successful completion of this course, participants will be issued with a certificate.

Tailor-Made Course

We can also do this as a tailor-made course to meet organization-wide needs. A training needs assessment will be done on the training participants to collect data on the existing skills, knowledge gaps, training expectations, and tailor-made needs.

Nairobi, Kenya Aug 19 - 23 Aug, 2024
Nairobi, Kenya, Kenya 16 - 20 Sep, 2024
Nairobi, Kenya, Kenya 14 - 18 Oct, 2024
Nairobi, Kenya, Kenya 11 - 15 Nov, 2024
Nairobi, Kenya, Kenya 09 - 13 Dec, 2024

Registration: 08:00:am - 04:00:am

USD 950.00 + 47.50 (VAT)(Classroom-based)
USD 600.00 + 30.00 (VAT)(Online)
(Convert Currency)

Devimpact Institute +254714349537

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