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This course was developed by EpiData Promoters in collaboration with The Union and the EpiData Association, Denmark.

Efficient, quality-assured data capture and analysis

Exercises

Part A: EpiData Entry

    Task   Solution  

 

 

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Introduction

EpiData software for operations research in tuberculosis control

         

Overview

A brief overview of EpiData software

   

A brief overview of EpiData software

Exercise 1:

A simple questionnaire

   

 

A simple questionnaire

Exercise 2

The QES-REC-CHK triplet

   

The QES-REC-CHK triplet

Exercise 3

Using Labelblocks instead of legal values

   

Using Labelblocks instead of legal values

Exercise 4

Adding field labels and value labels

   

Adding field labels and value labels

Exercise 5

Data entry and validation

   

Data entry and validation

Exercise 6

Data safety

   

Data safety

Exercise 7

Using an external file for Labelblocks and making calculations in the Check file

 

Using an external file for Labelblocks and making calculations in the Check file

Exercise 8

Dealing with incomplete dates

   

Dealing with incomplete dates

Exercise 9

Keeping track of data entry time

   

Keeping track of data entry time

Exercise 10

Principles of a relational database

 

Principles of a relational database

Part A

Obtain all exercises of Part A

     

Obtain all exercises of Part A

Part B: EpiData Analysis

    Task   Solution  

 

 

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Exercise 1

A basic program in EpiData Analysis

 

A basic program in EpiData Analysis

Exercise 2

Appending and making new REC files in EpiData Analysis

   

Appending and making new REC files in EpiData Analysis

Exercise 3

Creating a string variable in EpiData Analysis

   

Creating a string variable in EpiData Analysis

Exercise 4

Aggregating data and saving the summary data in a file

 

Aggregating data and saving the summary data in a file

Part B

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Obtain all exercises of Part B

Part C: Operations research

    Task   Solution  

 

 

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Exercise 1

Creating a working dataset

 

Creating a working dataset

Exercise 2

Variability in serial smears

   

Variability in serial smears

Exercise 3

Incremental yield from serial smears

   

Incremental yield from serial smears

Exercise 4

Confirmatory results in serial smears

   

Confirmatory results in serial smears

Part C

Obtain all exercises of Part C

     

Obtain all exercises of Part C

Part D: More on EpiData software

    Task   Solution  

 

 

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files

 

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For unzipping you may use the EpiData "Restore Archive" tool

Exercise 1

Aggregating vs from "Long-to-Wide"

   

Aggregating vs from "Long-to-Wide"

Exercise 2

A statistical process control chart

 

A statistical process control chart

Exercise 3

A simplified survival analysis

 

A simplified survival analysis

Exercise 4

Creating a menu for standard reports

 

Creating a menu for standard reports

Part D

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Obtain all exercises of Part D

Obtain the entire text of exercises and all solutions of the course

Parts A, B, C, D

Obtain all exercises of Parts A, B, C, and D

 

   

Obtain all exercises of Parts A, B, and C

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Last updated: 18-May-09