Evidence-based medicine aims to apply the best available evidence gained from the scientific method to medical decision making. It is a practice that uses statistical analysis of scientific methods and outcomes to drive further experimentation and diagnosis. The profusion of evidence-based medicine in medical practice and clinical research has produced a need for life scientists and clinical researchers to assimilate biostatistics into their work to meet efficacy and practical standards.
Practical Biostatistics provides researchers, medical professionals, and students with a friendly, practical guide to biostatistics. With a detailed outline of implementation steps complemented by a review of important topics, this book can be used as a quick reference or a hands-on guide to effectively incorporate biostatistics in clinical trials.
- Customized presentation for biological investigators with examples taken from current clinical trials in multiple disciplines
- Clear and concise definitions and examples provide a pragmatic guide to bring clarity to the applications of statistics in improving human health
- Addresses the challenge of assimilation of mathematical concepts to better interpret literature, to build stronger studies, to present research effectively, and to improve communication with supporting biostatisticians
It is no secret that biostatistics has become a necessary, but dreaded, tool in today’s research and clinical settings. With obvious benefits in terms of efficacy and practical results, assimilation of the underpinning mathematical and statistical requirements can nevertheless challenge even the most devoted clinical investigator or medical professional. Practical Biostatistics provides a clear and user-friendly response to these formidable challenges.
Practicality and usability are key. Concepts are defined, introduced clearly, reinforced throughout repeat clinical examples, and enriched by self-evaluation sections. With comprehensive - yet accessible - coverage, this book is suitable for clinical investigators working within genetics, genomics, immunology, virology, microbiology, cell biology, pharmacology, and biomedical research settings generally. It is useful both as a quick reference or a thorough hands-on guide to effectively incorporate biostatistics in clinical and observational trials.