Data Literacy

How to Make Your Experiments Robust and Reproducible

Specificaties
Paperback, blz. | Engels
Elsevier Science | e druk, 2017
ISBN13: 9780128113066
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Elsevier Science e druk, 2017 9780128113066
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Samenvatting

Data Literacy: How to Make Your Experiments Robust and Reproducible provides an overview of basic concepts and skills in handling data, which are common to diverse areas of science. Readers will get a good grasp of the steps involved in carrying out a scientific study and will understand some of the factors that make a study robust and reproducible.The book covers several major modules such as experimental design, data cleansing and preparation, statistical analysis, data management, and reporting. No specialized knowledge of statistics or computer programming is needed to fully understand the concepts presented.

This book is a valuable source for biomedical and health sciences graduate students andresearchers, in general, who are interested in handling data to make their research reproducibleand more efficient.

Specificaties

ISBN13:9780128113066
Taal:Engels
Bindwijze:Paperback

Inhoudsopgave

<p>Part A: Experimental Design1. “Most published findings are false!”2. How to identify a promising research problem?3. Experimental designs: measures, validity, randomization4. Experimental design: Sampling, bias, hypotheses5. Positive and negative controls</p> <p>Part B: Getting a “feel” for your data6. Refresher on basic concepts of probability and statistics7. Data cleansing8. Case studies of data cleansing9. Hypothesis testing10. The “new statistics”11. ANOVA. 12. Nonparametric tests13. Other statistical concepts you should know</p> <p>Part C: Data Management14. Recording and reporting experiments15. Data sharing and re-use16. Publishing</p>

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€ 95,74
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        Data Literacy