Data literacy : how to make your experiments robust and reproducible / / Neil Smalheiser, MD, PhD, Associate Professor in Psychiatry, Department of Psychiatry and Psychiatric Institute, University of Illinois School of Medicine, USA
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| Autore: |
Smalheiser Neil R.
|
| Titolo: |
Data literacy : how to make your experiments robust and reproducible / / Neil Smalheiser, MD, PhD, Associate Professor in Psychiatry, Department of Psychiatry and Psychiatric Institute, University of Illinois School of Medicine, USA
|
| Pubblicazione: | Amsterdam : , : Academic Press, an imprint of Elsevier, , [2017] |
| �2017 | |
| Descrizione fisica: | 1 online resource (xvii, 261 pages) : illustrations (some color) |
| Disciplina: | 006.312 |
| Soggetto topico: | Data mining |
| Research - Data processing | |
| Medicine - Research - Data processing | |
| Nota di bibliografia: | Includes bibliographical references at the end of each chapters and index. |
| Nota di contenuto: | A. Designing your experiment -- B. Getting a "feel" for your data -- C. Statistics (without much math!) -- D. Make your data go farther. |
| Sommario/riassunto: | This book provides an overview of the basic concepts and skills involved in handling scientific data, and examines the processes that are necessary when carrying out a scientific study and some of the factors that make a study robust and reproducible. Experimental design, data cleansing and preparation, statistical analysis, data management, and reporting are among the topics discussed. |
| Titolo autorizzato: | Data literacy |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910583372603321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |