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Record Nr. |
UNINA9910583372603321 |
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Autore |
Smalheiser Neil R. |
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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 |
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Pubbl/distr/stampa |
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Amsterdam : , : Academic Press, an imprint of Elsevier, , [2017] |
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�2017 |
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Descrizione fisica |
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1 online resource (xvii, 261 pages) : illustrations (some color) |
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Collana |
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Disciplina |
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Soggetti |
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Data mining |
Research - Data processing |
Medicine - Research - Data processing |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references at the end of each chapters and index. |
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Nota di contenuto |
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A. Designing your experiment -- B. Getting a "feel" for your data -- C. Statistics (without much math!) -- D. Make your data go farther. |
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Sommario/riassunto |
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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. |
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