Essentials of Research and Biostatistics for Nurses

Description

They are created especially for medical professionals who need to comprehend fundamental biostatistics but don't have enough free time. The Essentials of Biostatistics for Physicians, Nurses, and Clinicians highlights crucial statistical techniques used in contemporary biomedical research and offers guidance on when they should be used. The book focuses on what healthcare professionals need to learn to comprehend and apply the most recent biological research to their practices rather than providing full mathematical explanations for each of these methodologies. Instead, the author provides a straightforward and approachable presentation by drawing on his own experience creating and instructing biostatistics courses for doctors and nurses. Why study statistics? And the importance of statistical techniques in medical literature and clinical trial research are both questions explored in the book's fundamental introduction to the link between biostatistics and medical research. The following chapters examine important subjects, such as: Correlation, regression, and logistic regression; Diagnostics; Estimating means and proportions; Normal distribution and the central limit theorem; Sampling from populations; Contingency tables; Meta-analysis; Nonparametric methods; Survival analysis. Statistical techniques frequently used in biomedical research are described throughout the book. These techniques include analysis of variance, hazard ratios, contingency tables, log-rank tests, bioequivalence, cross-over designs, selection bias, and group sequential techniques. In addition, readers can evaluate how well they understand the topics and methods given by completing the exercise sets after each chapter. For doctors, nurses, and other practicing clinicians in medicine, public health, pharmacy, and the life sciences who need to comprehend and apply statistical methods in their daily work, The Essentials of Biostatistics for Physicians, Nurses, and Clinicians is an excellent reference. It also works well as a complement for graduate- and upper-level undergraduate biostatistics courses.