Course Overview
This course is intended for medical researchers who would like to enhance their skills on epidemiological data analysis being familiarized with Stata. The participants will have their hands on laptop with Stata running throughout the learning sessions. Each learning session will give equal weight to tutorials and practical exercises.
Duration
10 days
Target Audience
- Public health professionals
- Epidemiologists
- Biostatisticians
- Medical researchers
Course Level:
Course Objectives
- Understand key epidemiological concepts.
- Apply biostatistical methods using Stata.
- Utilize Stata for data management and analysis.
- Interpret and communicate epidemiological findings.
- Conduct epidemiological research and design studies.
Course Outline
Module 1: Introduction to Epidemiology and Biostatistics
- Definition and Importance of Epidemiology
- Role of Biostatistics in Epidemiology
- Overview of Stata Software
- Basic Epidemiological Measures (Incidence, Prevalence)
- Case Study: Exploring the Prevalence of a Disease in a Specific Population
Module 2: Study Designs in Epidemiology
- Types of Epidemiological Studies (Cohort, Case-Control, Cross-Sectional)
- Randomized Controlled Trials (RCTs)
- Bias and Confounding in Study Designs
- Choosing the Right Study Design
- Case Study: Designing a Cohort Study to Investigate Risk Factors for Heart Disease
Module 3: Data Collection and Management in Stata
- Importing and Exporting Data in Stata
- Data Cleaning Techniques
- Managing Missing Data
- Variable Recoding and Labeling
- Case Study: Preparing a Dataset for Analysis of a Large-Scale Health Survey
Module 4: Descriptive Statistics and Graphical Representation
- Summary Statistics (Mean, Median, Mode, Range, Variance)
- Frequency Distributions and Tables
- Graphical Displays (Histograms, Boxplots, Scatterplots)
- Using Stata for Descriptive Analysis
- Case Study: Descriptive Analysis of a Dataset on Childhood Obesity
Module 5: Inferential Statistics in Epidemiology
- Hypothesis Testing (p-values, Confidence Intervals)
- t-Tests and ANOVA
- Chi-Square Tests for Categorical Data
- Correlation and Simple Linear Regression
- Case Study: Testing Hypotheses on the Association Between Smoking and Lung Cancer
Module 6: Advanced Regression Techniques in Stata
- Multiple Linear Regression
- Logistic Regression Analysis
- Cox Proportional Hazards Model
- Interaction Terms and Effect Modification
- Case Study: Logistic Regression Analysis of Factors Associated with Diabetes
Module 7: Survival Analysis in Epidemiology
- Introduction to Survival Data and Censoring
- Kaplan-Meier Survival Curves
- Log-Rank Test
- Proportional Hazards Regression
- Case Study: Survival Analysis of Patients with Breast Cancer
Module 8: Epidemiological Measures of Association
- Risk Ratios and Odds Ratios
- Attributable Risk and Population Attributable Risk
- Measures of Diagnostic Accuracy (Sensitivity, Specificity, PPV, NPV)
- Confounding and Effect Modification
- Case Study: Calculating and Interpreting Odds Ratios in a Case-Control Study
Module 9: Screening and Diagnostic Tests
- Principles of Screening
- Evaluation of Screening Programs
- ROC Curves and AUC in Stata
- Likelihood Ratios
- Case Study: Evaluation of a New Screening Test for Early Detection of Cervical Cancer
Module 10: Epidemiological Research and Reporting
- Writing Epidemiological Research Papers
- Systematic Reviews and Meta-Analyses
- Ethical Considerations in Epidemiological Research
- Presentation of Epidemiological Data Using Stata
- Case Study: Conducting and Reporting a Meta-Analysis on the Effectiveness of a Public Health Intervention
Related Courses
Course Administration Details:
Methodology
These instructor-led training sessions are delivered using a blended learning approach and include presentations, guided practical exercises, web-based tutorials, and group work. Our facilitators are seasoned industry experts with years of experience as professionals and trainers in these fields. All facilitation and course materials are offered in English. Participants should be reasonably proficient in the language.
Accreditation
Upon successful completion of this training, participants will be issued an Indepth Research Institute (IRES) certificate certified by the National Industrial Training Authority (NITA).
Training Venue
The training will be held at IRES Training Centre. The course fee covers the course tuition, training materials, two break refreshments, and lunch. All participants will additionally cater to their travel expenses, visa application, insurance, and other personal expenses.
Accommodation and Airport Transfer
Accommodation and Airport Transfer are arranged upon request. For reservations contact the Training Officer.
- Email: [email protected]
- Phone: +254715 077 817
Tailor-Made
This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our IRES Training Centre or at a convenient location. For further inquiries, please contact us on:
- Email: [email protected]
- Phone: +254715 077 817
Payment
Payment should be transferred to the IRES account through a bank on or before the start of the course. Send proof of payment to [email protected]
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