Epidemiology and Biostatistics with Stata Course

Event: Epidemiology and Biostatistics with Stata Course

Venue: Indepth Research Training Centre, Nairobi, Kenya.

Event Date: 20th November – 1st December 2017.

NITA CERTIFIED

INTRODUCTION

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

WHO SHOULD ATTEND?

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

LEARNING OBJECTIVES

The key objective is that by the end this course the students will know how to run their own epidemiological analysis effectively using Stata for a variety of outcomes by using 2x2 tables and/or regression models, decided on the most appropriate way to report the results supplied by Stata

Understand the bio-statistical concepts of additivity, independence, confounding, and interaction in the context of logistic models.

TOPICS TO BE COVERED

Epidemiology

• Introduction to epidemiologic thinking
• Sufficient/component cause theory of disease
• Hill’s causal criteria
• Logic and errors
• Effect measures
• Study designs
• Randomization using Excel
• Bias and confounding
• Random error and statistics
• Crude analysis
• Stratified analysis
• Standardization
• Sensitivity (bias) analysis
• Case-cohort study design

Biostatistics

• Logic of significance tests
• Choice of significance test
• Comparison of two independent groups
• Basics of power analysis
• More on levels of measurement
• Comparison of two paired groups
• Multiplicity and the Comparison of 3+ Groups
• Correlation
• Linear regression
• Logistic regression and dummy variables
• Survival analysis: Kaplan-Meier graphs, Log-rank Test, and Cox regression
• Confidence intervals versus p values and trends toward significance
• Pearson correlation coefficient with clustered data
• Equivalence and non-inferiority tests
• Validity and reliability
• Bland-Altman analysis
• One sample tests

HOW TO PARTICIPATE

• Tailor Made Training
• Register Individual
• Register Group
• Become one of Our Partners
• Frequently Asked Questions (FAQs)
• Purchase Software

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For further inquiries, please contact us on Tel: +254 715 077 817, +254 (020) 211 3814, +254 731240802, +254 735331020.

Others Details

Accommodation is arranged upon request. For reservations contact the Training Officer.