|
|
Operations Research with EpiData Software |
Please find here the entire course with all the necessary material |
|
|
About this course |
|
Suggested reading |
|
Part A below uses EpiData Manager and EpiData EntryClient for data entry form design and data entry. For users interested in using the predecessor version EpiData Entry 3.1, access the old version of Part A by clicking on the icon to the left. |
|
|
Part A: Quality-assured data capture with EpiData Manager and EpiData EntryClient |
Exercise and exercise name |
Task |
Solution |
PDF |
Zip |
PDF |
Zip |
Title page: EpiData software for operations research in tuberculosis control |
|
|
|
|
Background, objective, and course history |
|
|
|
|
Preparatory steps before you begin |
|
|
|
|
1 |
A data documentation sheet for a simple questionnaire |
|
|
|
|
2 |
Create a basic data entry form |
|
|
|
|
3 |
Create a value-label pair from external data |
|
|
|
|
4 |
Create a composite identifier |
|
|
|
|
5 |
Data entry and validation |
|
|
|
|
6 |
Upgrading an EpiData 3.1 REC/CHK file pair to an EPX file |
|
|
|
|
7 |
Relational database |
|
|
|
|
Obtain all exercises and solutions of Part A |
|
|
|
|
|
|
|
|
|
|
|
Go to top |
|
|
|
|
|
|
Part B: Introduction to EpiData Analysis |
Exercise and exercise name |
Task |
Solution |
PDF |
Zip |
PDF |
Zip |
1 |
An introduction to EpiData Analysis |
|
|
|
|
2 |
More on EpiData Analysis |
|
|
|
|
3 |
Aggregating data and saving the summary data in a file |
|
|
|
|
4 |
From a spreadsheet to an EpiData file |
|
|
|
|
Obtain all exercises and solutions of Part B |
|
|
|
|
|
|
|
|
|
|
|
Go to top |
|
|
|
|
|
|
Part C: Operations research |
Exercise and exercise name |
Task |
Solution |
PDF |
Zip |
PDF |
Zip |
1 |
Creating a working dataset |
|
|
|
|
2 |
Variability in serial smears |
|
|
|
|
3 |
Incremental yield from serial smears |
|
|
|
|
4 |
Confirmatory results in serial smears |
|
|
|
|
Obtain all exercises and solutions of Part C |
|
|
|
|
|
|
|
|
|
|
|
Go to top |
|
|
|
|
|
|
Part D: More on EpiData software |
Exercise and exercise name |
Task |
Solution |
PDF |
Zip |
PDF |
Zip |
1 |
A relational database and "Aggregating" vs from "Long-to-Wide" |
|
|
|
|
2 |
A statistical process control chart |
|
|
|
|
3 |
Survival analysis |
|
|
|
|
4 |
Creating a menu for standard reports |
|
|
|
|
5 |
Formatting standardized analysis output in a spreadsheet |
|
|
|
|
Obtain all exercises and solutions of Part D |
|
|
|
|
|
|
|
|
|
|
|
Go to top |
|
|
|
|
|
|
Part E: Beyond EpiData Analysis using R |
Exercise and exercise name |
Task |
Solution |
PDF |
Zip |
PDF |
Zip |
1 |
Introduction to R software: basics |
|
|
|
|
2 |
Introduction to R software: data bases and functions |
|
|
|
|
3 |
Multivariable analysis in R part 1: A logistic regression |
|
|
|
|
4 |
Multivariable analysis in R part 2: A Cox proportional hazard model |
|
|
|
|
Obtain all exercises and solutions of Part E |
|
|
|
|
|
|
|
|
|
|
|
Go to top |
|
|
|
|
|
|
Parts A, B, C, D and E: Obtain the entire text, exercises and solutions |
Exercise and exercise name |
Task |
Solution |
PDF |
Zip |
PDF |
Zip |
All exercises and solutions of Parts A, B, C, D, and E (excluding report menu) |
|
|
|
|
Final report menu from Exercise 5, Part D |
|
|
|
|
|
|
|
|
|
|
|
Go to top |
|
|
|
|
|
|
|
|
|
|