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Epidemiology and Biostatistics with Stata Course

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

REQUIREMENTS

Participants should be reasonably proficient in English. Applicants must live up to Indepth Research Services (IRES) admission criteria.

METHODOLOGY

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. All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English.

ACCREDITATION

Upon successful completion of this training, participants will be issued with an Indepth Research Services (IRES) certificate.

TRAINING VENUE 

The venue of the training includes IRES training Centre or another location chosen by the group or in-house for corporates. For locations outside IRES training Centre, the participants are required to have laptops where the software and other materials for the training will be loaded.

TRAINING FEES

Payment should be transferred to IRES account through bank on or before C.O.B 12th August 2019.

Send proof of payment to This email address is being protected from spambots. You need JavaScript enabled to view it..  

Email: This email address is being protected from spambots. You need JavaScript enabled to view it..  

Mob: +250 789 621 067

Tel: 020 211 3814

CANCELLATION POLICY

Payment for the all courses includes a registration fee, which is non-refundable, and equals 15% of the total sum of the course fee.

  1. Participants may cancel attendance 14 days or more prior to thecommencement date.
  2. No refunds will be made 14 days or less to the training commencement date. However, participants who are unable to attend may opt to attend a similar training at a later date, or send a substitute participant provided the participation criteria have been met.

Please Note: The program content shown here is for guidance purposes only. Our continuous course improvement process may lead to changes in topics and course structure.

Event Properties

Event Duration 12 Days
Event Date 19-08-2019
Event End Date 30-08-2019
Cut off date 12-08-2019
Individual Price(rwanda franc) R₣ 1,112,000
Individual Price (International) EUR 1,771
Individual Price(International in Dollars) USD 1,999
Location Kigali,Rwanda

Group Tariffs

Group Size Rwandese Rate Per Day( R₣) International Rate Per Day(USD/EURO)
3-5 588,800.00 $ 1,118.00
€ 1,018.00
6-10 894,400.00 $ 1,721.00
€ 1,567.00
11-15 1,376,800.00 $ 2,250.00
€ 2,048.00
16-20 1,800,000.00 $ 2,706.00
€ 2,463.00
21-25 2,164,800.00 $ 3,089.00
€ 2,811.00
26-30 2,471,200.00 $ 4,556.00
€ 0.00
30-50 3,644,800.00 $ 736.00
€ 670.00
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