Epidemiology and Bio-statistics using Stata

FineResults Research Services invites you to training on:

DATE: 18th to 29th   January 2021

COST: USD 1600 Or Ksh 160000

REGISTER TO ATTEND

 INTRODUCTION

Participants will learn the principles of epidemiology and biostatistics and gain skills in using epidemiological and biostatistical tools to describe, monitor and investigate the determinants of population health. The statistical background required to conduct research, describe, summarize, develop hypothesis, assess associations, analyze data, interpret and communicate results will be studied comprehensively. The course targets health care professionals who wish to consolidate their knowledge and skills and increase their understanding of the importance of epidemiology and statistics in public health today.

DURATION

10 Days

COURSE OBJECTIVES

At the end of the course, participants will be able to:

•                   Use epidemiological and biostatistical tools to describe, monitor and investigate the determinants of population health.

•                   Gain key statistical background necessary for conducting valid research

•                   Describe and summarize data

•                   Develop hypothesis and analyze data.

•                   Interpret and communicate results

Module 1:

1. Data management & graphics in Stata

Introduction to Stata

Module 2:

Creating and changing variables

Transforming variables and data sets

Introduction to Stata graphics

Module 3:

2. Biostatistics

Introduction to statistical concepts

Hypothesis testing

Tests of differences in population means

Module 4:

Analysis of contingency tables

Non-parametric methods

Linear regression and correlation

Module 5:

3. Epidemiology

Measures of disease frequency

Module 6:

Measures of effect for categorical data

•                   Risk difference

•                   Risk ratio

•                   Attribute fraction

•                   Attribute risk

•                   Relative risk

•                   Odds ratio

Measures of effect for stratified categorical data

•                   Mantel-Haenzsel test

•                   Odds ratio for stratified data

•                   Odds ratio for matched pairs studies

•                   Testing for trends

Vital statistics

Clinical research designs

Module 7:

Case report and series

Cross-sectional studies

Cohort studies

Case-control studies

Misclassification

•                   Definition

•                   Non-differential misclassification

•                   Differential misclassification

•                   Assessing misclassification

Module 8:

Confounding

•                   Confounding overview

•                   Evaluation of confounding factors

•                   Confounding by indication

Remedies for confounding

•                   Restriction

•                   Stratification

•                   Matching

•                   Regression

•                   Randomization

•                   Interpretation after adjusting for confounding

•                   Unadjusted verse adjusted association: confounding

Effect modification

•                   Overview

•                   Synergy between exposure variables

•                   Effect modification verses confounding

•                   Evaluation of effect modification

•                   Effect modification in clinical research articles

•                   Effect modification on the relative and absolute scales

Module 9:

Introduction to survival analysis

•                   Overview

•                   Organizing survival data for computer use

•                   Censoring (right and left)

•                   Truncation (right and left)

•                   Plotting survival data (the Kaplan-Meier curve)

•                   Log-rank tests

•                   Hazard rates

•                   Cox proportional hazard models

Module 10:

Research ethics and statistics

•                   Introduction

•                   Protection of human research subjects

•                   Informed consent

•                   Equipoise

•                   Research integrity

•                   Authorship policies

•                   Data and safety monitoring boards

TRAINING CUSTOMIZATION

This training can also be customized for your institution upon request. You can also have it delivered your preferred location. For further inquiries, please contact us through Mobile: +254 759 285 295. You can also email us on: [email protected]

REQUIREMENTS

Participants should be reasonably proficient in English.  During the trainings, participants should come with their own laptops.

TRAINING FEE

The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.

ACCOMMODATION

Accommodation is arranged upon request. For reservations contact us through Mobile: +254 759 285 295 or Email: [email protected]

PAYMENT

Payment should be transferred to FineResults Research Services bank  account before commencement of training. Send proof of payment through the email: [email protected]

CANCELLATION POLICY

• All requests for cancellations must be received in writing.
• Changes will become effective on the date of written confirmation being received.

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