LIVRO Data Literacy: How to Make Your Experiments Robust and Reproducible PDF Neil Smalheiser

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 gain a better 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 and researchers in general who are interested in handling data to make their research reproducible and more efficient.Presents the content in an informal tone and with many examples taken from the daily routine at laboratoriesProvides exercises for self-study, and is an optional book for more technical coursesBrings an interdisciplinary approach which may be applied across different areas of sciences