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Operations Research with EpiData Software |
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About this course |
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A selection of simple and smart solutions for problems in EpiData Entry and EpiData Analysis |
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Part A: Efficient, quality-assured data entry |
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Task |
Solution |
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| Introduction: EpiData software for operations research in tuberculosis control |
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| Overview: A brief overview of EpiData software |
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| 1 |
A simple questionnaire |
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The QES-REC-CHK triplet |
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Using Labelblocks instead of legal values |
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Adding field labels and value labels |
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Data entry and validation |
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Data safety |
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Using an external file for Labelblocks and making calculations in the Check file |
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Dealing with incomplete dates |
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Keeping track of data entry time |
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| Obtain all exercises and solutions of Part A |
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Part B: Introduction to EpiData Analysis |
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Solution |
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| 1 |
A basic program in EpiData Analysis |
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Appending and making new REC files in EpiData Analysis |
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Creating a string variable in EpiData Analysis |
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Aggregating data and saving the summary data in a file |
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| Obtain all exercises and solutions of Part B |
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Part C: Operations research |
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Solution |
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Creating a working dataset |
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Variability in serial smears |
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Incremental yield from serial smears |
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Confirmatory results in serial smears |
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| Obtain all exercises and solutions of Part C |
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Part D: More on EpiData software |
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Task |
Solution |
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A relational database and "Aggregating" vs from "Long-to-Wide" |
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A statistical process control chart |
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Survival analysis |
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Creating a menu for standard reports |
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| Obtain all exercises and solutions of Part D |
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Parts A, B, C, and D: Obtain the entire text ald all exercises |
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Task |
Solution |
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| All exercises and solutions of Parts A, B, C, and D |
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