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.

Duration        5 Days

Target Audience

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.

Objectives

By the end of the training the participants will be able to:

• Understand the Principles of Epidemiology.
• Master Basic Analytical Procedures Using Stata Software.
• Calculate Sample Sizes and Understand Sampling Concepts.
• Analyze Epidemiological Tables and Data.
• Conduct Survival Analysis and Explore Cohort and Case-Control Study Designs.

Course Outline

Principles Of Epidemiology

• Terms and concepts of epidemiology
• Samples and population
• Disease measurement (Prevalence and incidence
• Study design.
• Cohort studies
• Observational studies
• Case control studies
• Risk factors measurements.
• Exercises

Basic analytical procedures

• Stata software
•  Data type and analysis basic concepts
•  Statistical models used in epidemiology.
• Chi-square,
• t-test,
• Mann-Whitney
• ANOVA, ANCOVA,
• Simple and multiple linear regressions,
• 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’ 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

Certification

• Upon successful completion of this training, participants will be issued with Macskills Training and Development Institute Certificate

Training Venue

• Training will be held at Macskills Training Centre. We also tailor make the training upon request at different locations across the world.

Airport Pick Up and Accommodation

• Airport pick up and accommodation is arranged upon request.

Terms Of Payment

• Payment should be made to Macskills Development Institute bank account before the start of the training and receipts sent via email.