A fundamental and straightforward guide to using and understanding statistical concepts in medical research Designed specifically for healthcare practitioners who need to understand basic biostatistics but do not have much time to spare, The Essentials of Biostatistics for Physicians, Nurses and Clinicians presents important statistical methods used in today's biomedical research and provides insight on their appropriate application. Rather than provide detailed mathematics for each of these methods, the book emphasizes what healthcare practitioners need to know to interpret and incorporate the latest biomedical research into their practices. The author draws from his own experience developing and teaching biostatistics courses for physicians and nurses, offering a presentation that is non-technical and accessible. The book begins with a basic introduction to the relationship between biostatistics and medical research, asking the question "why study statistics?," while also exploring the significance of statisitcal methods in medical literature and clinical trials research. Subsequent chapters explore key topics, including: 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 Throughout the book, statistical methods that are often utilized in biomedical research are outlined, including repeated measures analysis of variance, hazard ratios, contingency tables, log rank tests, bioequivalence, cross-over designs, selection bias, and group sequential methods. Exercise sets at the end of each chapter allow readers to test their comprehension of the presented concepts and techniques. The Essentials of Biostatistics for Physicians, Nurses, and Clinicians is an excellent reference for doctors, nurses, and other practicing clinicians in the fields of medicine, public health, pharmacy, and the life sciences who need to understand and apply statistical methods in their everyday work. It also serves as a suitable supplement for courses on biostatistics at the upper-undergraduate and graduate levels.

Board Review in Preventive Medicine and Public Health, Second Edition provides an ideal resource for physicians preparing to take the board exams in both preventive medicine and occupational medicine or for those preparing to take the examination to become certified in Public Health. In this new edition, topics have been added to fill any potential gaps in important key concepts. Topics include clinical preventive medicine, health administration, epidemiology, biostatistics, occupational medicine, correctional medicine, aerospace medicine, and much more. This second edition uses the board exam outline supplied by the American Board of Preventive Medicine to help test-takers understand exam topics and components. The primary audience for the book is physicians preparing to take board exams in preventive medicine or occupational medicine. This includes resident physicians taking the exam for the first time, as well as those that are preparing to take the recertifying exam. Similar to physicians, this book can be used by nurse practitioners preparing for their occupational medicine certification exams. - Presents questions and answers, along with explanatory response for those preparing for board exams - Includes tables, charts, graphs and calculations - Written by a physician who has passed board exams in both preventive medicine and occupational medicine

Maintaining the same accessible and hands-on presentation, Introductory Biostatistics, Second Edition continues to provide an organized introduction to basic statistical concepts commonly applied in research across the health sciences. With plenty of real-world examples, the new edition provides a practical, modern approach to the statistical topics found in the biomedical and public health fields. Beginning with an overview of descriptive statistics in the health sciences, the book delivers topical coverage of probability models, parameter estimation, and hypothesis testing. Subsequently, the book focuses on more advanced topics with coverage of regression analysis, logistic regression, methods for count data, analysis of survival data, and designs for clinical trials. This extensive update of Introductory Biostatistics, Second Edition includes: • A new chapter on the use of higher order Analysis of Variance (ANOVA) in factorial and block designs • A new chapter on testing and inference methods for repeatedly measured outcomes including continuous, binary, and count outcomes • R incorporated throughout along with SAS®, allowing readers to replicate results from presented examples with either software • Multiple additional exercises, with partial solutions available to aid comprehension of crucial concepts • Notes on Computations sections to provide further guidance on the use of software • A related website that hosts the large data sets presented throughout the book Introductory Biostatistics, Second Edition is an excellent textbook for upper-undergraduate and graduate students in introductory biostatistics courses. The book is also an ideal reference for applied statisticians working in the fields of public health, nursing, dentistry, and medicine.

We use numbers here, there and everywhere -- Numbers are some of my favorite things -- Linking numbers : operations on numbers -- Words and numbers : being careful -- Writing really big and really small numbers, and those in-between -- Touching all bases, at times with logs -- Numbers need to be exact, but it ain't necessarily so -- The different types of numbers have not evolved, but our understanding of them has -- Really, really big and really, really small numbers -- The whole truth of whole numbers -- The math of the digital world : modular arithmetic (or using number leftovers) -- The math of what will be : progressions of growth and decay -- Untangling the worlds of probability and statistics -- The math of what might be : probability - what are the odds? -- The math of what was : statistics - the good, the bad, and the evil -- The math of big data -- The math of optimization, ranking, voting, and allocation -- The math of gaming -- The math of risk.

Translational Radiation Oncology covers the principles of evidence-based medicine and applies them to the design of translational research. The book provides valuable discussions on the critical appraisal of published studies and recent developments in radiation oncology, allowing readers to learn how to evaluate the quality of such studies with respect to measuring outcomes and make effective use of all types of evidence. By reading this book, researchers have access to a practical approach to help them navigate challenging considerations in study design and implementation. It is a valuable resource for researchers, oncologists and members of biomedical field who want to understand more about translational research applied to the field of radiation oncology. Translational medicine serves as an indispensable tool in grant writing and funding efforts, so understanding how to apply its principles to research is necessary to guarantee that results will be impactful to patients. - Provides a clear process for understanding, designing, executing and analyzing clinical and translational research - Presents practical, step-by-step guidance to help readers take ideas from the lab to the bedside - Written by a team of oncologists, radiologists and clinical research experts that fully cover translational research in radiation oncology

A practical guide to understanding and navigating the unique challenges faced by physicians and other professionals who wish to undertake research in the ED or other acute care setting. Focusing on the hyper-acute and acute care environment and fulfilling two closely-related needs: 1) the need for even seasoned researchers to understand the specific logistics and issues of doing research in the ED; and 2) the need to educate clinically active physicians in research methodology. This new text is not designed to be a complex, encyclopedic resource, but instead a concise, easy-to-read resource designed to convey key “need-to-know” information within a comprehensive framework. Aimed at the busy brain, either as a sit-down read or as a selectively-read reference guide to fill in knowledge gaps, chapters are short, compartmentalized, and are used strategically throughout the text in order to introduce and frame concepts. This format makes it easy - and even entertaining - for the research novice to integrate and absorb completely new (and typically dry) material. The textbook addresses aspects of feasibility, efficiency, ethics, statistics, safety, logistics, and collaboration in acute research. Overall, it grants access for the seasoned researcher seeking to learn about acute research to empathically integrate learning points into his or her knowledge base. As the ED is the primary setting for hyper-acute and acute care, and therefore a prime site for related clinical trial recruitment and interventions, the book presents specific logistical research challenges that researchers from any discipline, including physicians, research nurse coordinators, study monitors, or industry partners, need to understand in order to succeed.

Encyclopedic in breadth, yet practical and concise, Medical Biostatistics, Fourth Edition focuses on the statistical aspects ofmedicine with a medical perspective, showing the utility of biostatistics as a tool to manage many medical uncertainties. This edition includes more topics in order to fill gaps in the previous edition. Various topics have been enlarged and modified as per the new understanding of the subject.