Data literacy : how to make your experiments robust and reproducible /: how to make your experiments robust and reproducible. (2017)

• Record Type: Book
• Further Information: Note: Neil Smalheiser.
• Authors: Smalheiser, Neil R
• Contents: Part A: Experimental Design 1. “Most published findings are false!” 2. How to identify a promising research problem? 3. Experimental designs: measures, validity, randomization 4. Experimental design: Sampling, bias, hypotheses 5. Positive and negative controls Part B: Getting a “feel” for your data 6. Refresher on basic concepts of probability and statistics 7. Data cleansing 8. Case studies of data cleansing 9. Hypothesis testing 10. The “new statistics” 11. ANOVA. 12. Nonparametric tests 13. Other statistical concepts you should know Part C: Data Management 14. Recording and reporting experiments 15. Data sharing and re-use 16. Publishing
• Publisher Details: Amsterdam : Academic Press
• Publication Date: 2017
• Extent: 1 online resource
• Subjects: 006.312; Data mining; Research -- Data processing; Medicine -- Research -- Data processing
• Languages: English
• ISBNs: 9780128113073
• Related ISBNs: 9780128113066
• Notes: Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.