Training Course on Epidemiology and Biostatistics with Stata

Understanding the patterns, causes, and effects of health and disease conditions in populations is at the core of public health practice. Epidemiology and biostatistics are essential tools for health researchers, analysts, and policymakers, providing the foundation for evidence-based decision-making.

This Training Course on Epidemiology and Biostatistics with Stata is designed to equip participants with in-depth knowledge and hands-on experience in applying statistical methods to epidemiological research. Using Stata, a powerful statistical software widely used in health and social sciences, participants will learn how to manage data, perform complex analyses, and interpret results accurately.

The course blends theory with practical sessions, enabling learners to explore real-world datasets, conduct statistical tests, and develop meaningful insights that inform public health interventions and research.

Participants who successfully complete the course will receive a Certificate of Participation.

OBJECTIVES

By the end of the course, the participant should be able to;

• Understand key epidemiological concepts and study designs
• Apply biostatistical methods to analyze public health data
• Use Stata for data cleaning, management, and analysis
• Conduct and interpret common statistical tests
• Build and analyze regression models (linear, logistic, Poisson)
• Present epidemiological data effectively using tables and graphs
• Interpret findings for decision-making and policy development

DURATION

5 days

WHO SHOULD ATTEND?

The course is intended for:

• Health researchers and epidemiologists
• Public health officers and practitioners
• M&E and data analysts in health programs
• Academic staff and students in health and social sciences
• NGO and government staff working in health statistics and planning

researchers, physicians, clinicians, public health professionals, epidemiologists and biostatisticians, from public and private institutions who need to apply meta-analysis.

COURSE OUTLINE

Module 1: Introduction to Epidemiology and Stata

• Overview of epidemiology: definitions and key measures
• Introduction to Stata: interface, commands, and syntax
• Importing, cleaning, and managing datasets
• Generating variables and recoding data

Module 2: Descriptive Statistics and Data Visualization

• Measures of central tendency and variability
• Frequency tables and cross-tabulations
• Creating histograms, bar charts, and box plots
• Epidemiological measures: incidence, prevalence, risk ratios

Module 3: Study Designs and Bivariate Analysis

• Study designs: cross-sectional, cohort, case-control
• Hypothesis testing and p-values
• Chi-square tests, t-tests, and ANOVA in Stata
• Correlation analysis

Module 4: Regression and Multivariate Analysis

• Introduction to regression models
• Linear regression and interpretation
• Logistic regression for binary outcomes
• Model diagnostics and goodness-of-fit

Module 5: Advanced Topics and Reporting

• Poisson and survival analysis (introduction)
• Adjusted measures of association
• Writing summaries and statistical reports
• Final project and participant presentations

GENERAL NOTES

• The instructor led trainings are delivered using a blended learning approach and comprises of presentations, guided sessions of practical exercise, web-based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields.
• The participants should be reasonably proficient in English as all facilitation and course materials will be offered in English.
• Upon successful completion of this training, participants will be issued with a certificate.
• The training will be held at Kincaid Training Centre. The course fee covers the course tuition, training materials, two break refreshments and lunch.
• All participants will additionally cater for their, travel expenses, visa application, insurance, and other personal expenses.
• Accommodation and airport pickup are arranged upon request. For reservations contact the Training coordinator at Email: training@kincaiddevelopmentcenter.org or Tel: +254 724592901
• This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our Kincaid Training Centre or at a convenient location.

For further inquiries, please contact us on Tel: +254 724592901 or send mail to training@kincaiddevelopmentcenter.org

Payments are due upon registration. Payment should be sent to our Bank account before commencement of training and proof of payment sent to training@kincaiddevelopmentcenter.org