Epidemiology and Bio-statistics using Stata International Training

12 months ago Posted By : User Ref No: WURUR148456 0
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  • TypeTraining or Development Class
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  • Location Nairobi, Kenya
  • Price
  • Date 11-09-2023 - 22-09-2023
Epidemiology and Bio-statistics using Stata International Training, Nairobi, Kenya
Training or Development Class Title
Epidemiology and Bio-statistics using Stata International Training
Event Type
Training or Development Class
Training or Development Class Date
11-09-2023 to 22-09-2023
Nairobi, Kenya
Organization Name / Organize By
FineResults Research Services
Organizing/Related Departments
FineResults Research Services Training Center
Organization Type
Training or Development ClassCategory
Both (Technical & Non Technical)
Training or Development ClassLevel
All (State/Province/Region, National & International)
Related Industries




Information Technology


Nairobi, Kenya

FineResults Research Services would like to invite you to take part in our upcoming workshops on Research at our FineResults Research Services training facilities in Nairobi, Kenya or online.

Epidemiology and Bio-statistics using Stata


Participants will learn the principles of epidemiology and biostatistics and gain skills in using epidemiological and bio statistical 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.


10 Days


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

• Starting Stata

• Setting layout

• Directory management commands

• Data types in Stata

• Using Stata as a calculator

• Stata command and options

• Stata do-files

• Creating data sets directly in Stata

• Rename of variables

• Managing variables and/or variable properties

• Importing data from other software

• Exporting data to other software

• Loading data into the memory

• The in and if qualifiers

• The by prefix

• Create subsets (keep and drop)

• Create random variables (from distributions)

• Random sampling

• Sort variables

• Change order of variables

• Count number of observations

• Generate sequential numbers

• Working with dates

• Viewing data sets

• Interrupting computations

• Help

Module 2:

Creating and changing variables

• Create new variables

• Extended generate command

• Duplicate an existing variable

• Replace contents of a variable

• Convert numeric to string

• Convert string numbers to numeric

• Convert numeric values to missing and vice versa

• Recode string variables

• Decode numerically coded variables

• Transforming a continuous variable to categorical

• Reduce number of categories of a categorical variable

• Managing duplicates

Transforming variables and data sets

• Split variables

• Extract parts of variables

• Standardize variables

• Create dummy variables

• Create separate variables

• Transpose variables

• Stack variables

• Unstack variables

• Appending data sets

• Combining data sets by a common variable

• Convert datasets from wide to long

• Convert datasets from long to wide

• Some application to data cleaning

Introduction to Stata graphics

• The graphics dialog windows

• Graph elements (x and y labels, titles, legends)

• Graph appearance (marker symbol, color, size, line

• width, pattern, e.t.c)

• Multiple graphs (by option)

• Graphics syntax

• Adding text and annotations to graphs

• Saving and printing graphs

• Combining active graphs into one figure

• Graphics window (interactive plotting)

• Common graphs and charts

Module 3:

2. Biostatistics

Introduction to statistical concepts

• Review of research process

• Research designs

• Sampling techniques

• Types of data

• Descriptive statistics

• Graphs for descriptive statistics

Hypothesis testing

• Definitions

• Statistical inference

• Generalizability

• Confidence intervals in clinical research

• P-values in clinical research

• Hypothesis testing

• Interpreting hypothesis test results

Tests of differences in population means

• One sample t tests

• Two sample independent t tests

• Two sample paired t test

• One way analysis of variance

• Two way analysis of variance

Module 4:

Analysis of contingency tables

• Introduction

• Two by two tables: Proportion test

• Two by two tables: Fisher’s exact test

• McNemar matched pairs for binary response

• Other measures of association


Non-parametric methods

• Sign test

• Wilcoxon signed-rank test

• Median test

• Wilcoxon signed-sum (Mann-Whitney) test

• Kolmogorov-Sminorv goodness-of-fit test

• Kruskal-Wallis one way analysis of variance

• Friedman two-way analysis of variance

• Spearman rank correlation

• Nonparametric regression analysis


Linear regression and correlation

• Overview

• Pearson correlation analysis

• Simple linear regression

• Multiple linear regression

• Interpret results from linear regression

• Regression diagnostics


Module 5:

3. Epidemiology

Measures of disease frequency

• Importance of measures of disease frequency

• Measures of risk and association

• Risk verses prevention

• Prevalence

• Incidence, cumulative incidence & incidence density

• Relationship between prevalence and incidence

• Stratification 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

• Introduction

• Death rates and ratios

• Measures of fertility

• Measures of morbidity


Clinical research designs

• Study population

• Exposure and outcome

• Study designs

• Causation


Module 7:

Case report and series

Cross-sectional studies

Cohort studies

• Cohort study design

• Ascertainment

• Advantages

• Disadvantages

• Poisson regression for cohort studies


Case-control studies

• Case-control study design

• Advantages

• Disadvantages

• Unconditional logistic regression

• Conditional logistic regression



• Definition

• Non-differential misclassification

• Differential misclassification

• Assessing misclassification


Module 8:


• 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


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) or Email: [email protected] 


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



In-person USD 1600

Payment should be transferred to FineResults Research Services bank account one week prior to the training date and proof of payment sent to [email protected]

For any registration of 3 or more participants; we offer a discount of up to 10%.

This course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits for in-person training.


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


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


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

Visit our website for more details

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Registration Fees
Registration Fees Details
USD 1600
Registration Ways
FineResults Research Services Training Center  Westlands  Pin/Zip Code : Church Rd
Official Email ID
Edith Wairimu

[email protected]

   +254 759 285 295