Epidemiology and Biostatistics with Stata Course

6 years ago Posted By : User Ref No: WURUR15442 0
  • Image
  • TypeTraining or Development Class
  • Image
  • Location Westlands, Nairobi, Kenya
  • Price
  • Date 11-12-2017 - 22-12-2017
Epidemiology and Biostatistics with Stata Course, Westlands, Nairobi, Kenya
Training or Development Class Title
Epidemiology and Biostatistics with Stata Course
Event Type
Training or Development Class
Training or Development Class Date
11-12-2017 to 22-12-2017
Last Date for Applying
04-12-2017
Location
Westlands, Nairobi, Kenya
Organization Name / Organize By
Indepth Research Services
Organizing/Related Departments
Research
Organization Type
Organization
Training or Development ClassCategory
Both (Technical & Non Technical)
Training or Development ClassLevel
International
Related Industries

Education/Teaching/Training/Development

Research/Science

OTHERS

Location
Westlands, Nairobi, Kenya

Events: Epidemiology and Biostatistics with Stata Course

Venue: Indepth Research Services, Nairobi, Kenya

Event Date: 11th – 22nd 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

Tailor-Made Training

This training can also be customized for your institution upon request to a minimum of 4 participants. You can have it delivered in our training center or at a convenient location.

How to participate

  • Tailor make your course. 
  • Register individual.
  • Register as a group.
  • Become one of our partners.
  • Purchase software’s
  • Frequently asked Questions (FAQ’s)

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

ACCOMMODATION

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

Mob: +254 715 077 817

Tel: 020 211 3814

PAYMENT

Payment should be transferred to IRES account through bank on or before C.O.B 04th December 2017.

Send proof of payment to [email protected]

Others Details

For more details and updates please visit website.

Registration Fees
Available
Registration Fees Details
USD 2,200
Registration Ways
Email
Phone
Website
Address/Venue
  Indepth Research Services, Nairobi, Kenya.  Pin/Zip Code : 00101
Landmark
kenya
Official Email ID
Contact
Indepth Research Services

104289

[email protected]

   0715077817
fredrick githui