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Health, Safety and Environment (HSE)

Epidemiological Data Analysis Using Stata Training Course

Outbreak response, programme planning and health policy all depend on analysts who can turn surveillance and study data into trustworthy estimates of risk. You start in Stata with importing, labelling, cleaning and reshaping health datasets, writing do-files and log files so every result can be reproduced. Measures of disease frequency follow, including incidence, prevalence, attack rates and mortality rates, with age standardisation and descriptive analysis by person, place and time. Statistical sessions cover cross-tabulations, chi-square and t-tests, confidence intervals, and measures of association such as risk, odds and rate ratios for cohort, case-control and cross-sectional designs.

Regression days build logistic, Poisson and Cox models, explain confounding, interaction and model fit, and show how to identify risk factors in multivariable analysis. The final session covers presenting tables and graphs for reports, manuscripts and briefings. Exercises use realistic public health datasets, so each command is practised on the kinds of questions epidemiologists face. Epidemiologists, biostatisticians, field officers, public health researchers and health information staff with basic statistics knowledge are well suited. You leave with tested do-file templates and the ability to run and interpret a full epidemiological analysis on your own.

5 DaysIntermediateIn-House & Classroom & VirtualCPD-Accredited

About this course

This Epidemiological Data Analysis Using Stata training focuses on helping participants use Stata to analyze epidemiological data, interpret health outcomes, and support public health decision-making. The course explores data management, descriptive and inferential statistics, disease measurement, regression analysis, and reporting techniques. Participants will gain hands-on experience in applying epidemiological methods and statistical tools to address real-world health challenges.

Throughout the programme, participants work through realistic scenarios drawn from technology organizations, digital transformation programmes, data-driven enterprises, and public sector IT environments, examining how epidemiological data analysis using stata is applied in practice and where it most often breaks down. Delegates will develop practical skill in designing appropriate frameworks, selecting and applying the right tools for managing epidemiological data in stata, interpreting findings, and communicating conclusions clearly to colleagues, management and external stakeholders. Sessions move deliberately from principles to application, so that each technique introduced is practised against a realistic problem before the programme moves on — strengthening both individual effectiveness and the wider capability of the organizations delegates return to.

Training Objectives

  • Strengthen understanding of epidemiological data analysis concepts using Stata.
  • Enhance the ability to manage and prepare health datasets for analysis.
  • Develop practical skills in applying statistical techniques to epidemiological studies.
  • Improve competency in interpreting epidemiological findings and results.
  • Build capability in conducting disease surveillance and trend analysis.
  • Strengthen skills in statistical modeling for public health research.
  • Equip participants with methods for presenting analytical findings effectively.
  • Enable participants to support evidence-based health interventions and policy decisions.

What you'll learn

Understand core epidemiological data analysis using stata principles and how they fit together in practice.
Apply practical techniques for managing epidemiological data in stata in day-to-day implementation.
Strengthen evaluation, reporting and quality-assurance capability.
Improve decision-making using evidence-driven performance information.
Develop strategies that enhance accountability and overall effectiveness.
Work confidently with the standards and frameworks that govern epidemiological data analysis using stata.
Recognize the failure patterns that most often undermine managing epidemiological data in stata in practice.
Use structured review to turn delivery experience into organizational learning.

Key Takeaways

By the end of the Epidemiological Data Analysis Using Stata Training Course, participants will leave with:

  • Comprehensive understanding of epidemiological analysis using Stata.
  • Enhanced ability to manage and analyze public health data.
  • Improved competency in applying statistical methods to health research.
  • Practical techniques for disease trend analysis and surveillance.
  • Greater confidence in interpreting epidemiological findings.
  • Stronger capability to support public health planning and policy development.
  • Improved skills in communicating analytical results effectively.

Training Methodology

This training course uses a practical and software-oriented learning approach that strengthens epidemiological analysis, statistical interpretation, and reporting capabilities using Stata.

Methodology includes:

  • Guided demonstrations of Stata commands and analytical tools.
  • Hands-on exercises using epidemiological datasets.
  • Practical case studies from public health and research settings.
  • Interactive workshops focused on health data challenges.
  • Group discussions on the interpretation of epidemiological findings.
  • Scenario-based assignments on disease surveillance and analysis.
  • Practical sessions on modeling, reporting, and evidence generation.

Upcoming cohorts

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CPD-Accredited

Official invoice & confirmation letter provided

Team discount for 3+ seats

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FAQ

Frequently Asked Questions About Epidemiological Data Analysis Using Stata Training Course

Everything you need to know about this course before you register.

By the end of the Epidemiological Data Analysis Using Stata programme, you'll be able to understand core epidemiological data analysis using stata principles and how they fit together in practice, apply practical techniques for managing epidemiological data in stata in day-to-day implementation, strengthen evaluation, reporting and quality-assurance capability, and improve decision-making using evidence-driven performance information. The full breakdown of topics is covered session by session in the Course Outline tab above.

Still have questions about Epidemiological Data Analysis Using Stata Training Course? Chat with an advisor·Visit the full FAQ

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VRG brings strategic discipline to complex organizational challenges. Their approach is structured, data-driven, and outcome-focused.

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Levis Wabwire

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They facilitated our strategy review, we improved departmental KPI alignment by 35% and reduced operational bottlenecks significantly.

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