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.
| ISBN: | 9780128113066 |
| Publication date: | 11th September 2017 |
| Author: | Neil (Associate Professor, Department of Psychiatry and Psychiatric Institute, University of Illinois School of Med Smalheiser |
| Publisher: | Academic Press Inc an imprint of Elsevier Science Publishing Co Inc |
| Format: | Paperback |
| Pagination: | 282 pages |
| Genres: |
Biomedical engineering Computational biology / bioinformatics Oncology |