Biostatistics for Medical, Nursing and Pharmacy Students
Biostatistics for Medical, Nursing and Pharmacy Students

Author: A. Indrayan

Publisher: PHI Learning Pvt. Ltd.

Published: 2006

Total Pages: 308

ISBN-13: 9788120330542

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Designed specially for undergraduate students in medicine, pharmacy and nursing, this compact text, oriented completely to the medical aspects, skillfully analyzes the fundamentals of Biostatistics. The book begins with discussions on Biostatistics in health and diseases, types of data, and methods of data collection. Then it goes on to give a detailed description of fertility and demography indicators, indicators of social and mental health, sampling, standard error and confidence interval, as well as the principles of statistical tests. The study concludes with a discussion on parametric and non-parametric tests, chi-square tests, regression and correlation, and sample size in medical studies. Key Features: Key Features • Gives key terms and concepts at the beginning of each chapter. • Provides relevant medical examples to illustrate the methods discussed. • Has large number of exercises—numerical, MCQs and true/false—at the end of each chapter. • Gives solutions to exercises. Aspirants of PG entrance and USMLE examinations should also find the book extremely useful.

The Essentials of Biostatistics for Physicians, Nurses, and Clinicians
The Essentials of Biostatistics for Physicians, Nurses, and Clinicians

Author: Michael R. Chernick

Publisher: John Wiley & Sons

Published: 2011-09-27

Total Pages: 226

ISBN-13: 0470641851

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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.

Clinical Pharmacist's Guide to Biostatistics and Literature Evaluation
Clinical Pharmacist's Guide to Biostatistics and Literature Evaluation

Author: Robert DiCenzo

Publisher:

Published: 2011

Total Pages: 167

ISBN-13: 9781932658781

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Whether you are interpreting the medical literature to optimize patient care, improve health outcomes, or generate hypothesis for research, an understanding of biostatistics is essential for success. Despite exposure to biostatistics in undergraduate and professional education, pharmacists tend to be less confident in their knowledge of biostatistics and their ability to interpret the medical literature than in their clinical skills. This book was developed to bolster the pharmacist's knowledge and confidence for using biostatistical tools for interpreting the literature. With material drawn from ACCP's renowned Pharmacotherapy Self-Assessment Program (PSAP) and the live pharmacotherapy preparatory course Updates in Therapeutics, editor Robert DiCenzo, Pharm.D., FCCP, BCPS, has designed this review to support pharmacists' preparation for the Pharmacotherapy and Ambulatory Care Board of Pharmacy Specialties (BPS) examinations.

Statistics for Nursing and Allied Health
Statistics for Nursing and Allied Health

Author: Stacey Beth Plichta

Publisher: Lippincott Williams & Wilkins

Published: 2009

Total Pages: 436

ISBN-13: 9780781754590

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This introductory textbook explores the role of research in health care and focuses in particular on the importance of organizing and describing research data using basic statistics. The goal of the text is to teach students how to analyze data and present the results of evidence-based data analysis. Based on the commonly-used SPSS software, a comprehensive range of statistical techniques—both parametric and non-parametric—are presented and explained. Examples are given from nursing, health administration, and health professions, followed by an opportunity for students to immediately practice the technique.

Medical Statistics from Scratch
Medical Statistics from Scratch

Author: David Bowers

Publisher: John Wiley & Sons

Published: 2008-04-15

Total Pages: 303

ISBN-13: 9780470724446

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This long awaited second edition of this bestseller continues toprovide a comprehensive, user friendly, down-to-earth guide toelementary statistics. The book presents a detailed account ofthe most important procedures for the analysis of data, from thecalculation of simple proportions, to a variety of statisticaltests, and the use of regression models for modeling of clinicaloutcomes. The level of mathematics is kept to a minimum to make thematerial easily accessible to the novice, and a multitude ofillustrative cases are included in every chapter, drawn from thecurrent research literature. The new edition has beencompletely revised and updated and includes new chapters on basicquantitative methods, measuring survival, measurement scales,diagnostic testing, bayesian methods, meta-analysis and systematicreviews. "... After years of trying and failing, this is the only book onstatistics that i have managed to read and understand" - NaveedKirmani, Surgical Registrar, South London Healthcare HHS Trust,UK

Introduction to Statistics in Pharmaceutical Clinical Trials
Introduction to Statistics in Pharmaceutical Clinical Trials

Author: Todd A. Durham

Publisher:

Published: 2008-01-01

Total Pages: 226

ISBN-13: 9780853697145

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All students of pharmaceutical sciences and clinical research need a solid knowledge and understanding of the nature, methods, application, and importance of statistics. Introduction to Statistics in Pharmaceutical Clinical Trials is an ideal introduction to statistics presented in the context of clinical trials conducted during pharmaceutical drug development. This novel approach both teaches the computational steps needed to conduct analyses and provides a conceptual understanding of how these analyses provide information that forms the rational basis for decision making throughout the drug development process.

Basics in Nursing Research and Biostatistics
Basics in Nursing Research and Biostatistics

Author: Sreevani Rentala

Publisher: Jaypee Brothers Medical Publishers

Published: 2018-10-30

Total Pages: 555

ISBN-13: 9352705807

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PART A--NURSING RESEARCH Unit 1. Introduction to Nursing Research Unit 2. Research Process Unit 3. Research Problem and Hypothesis Unit 4. Review of Literature Unit 5. Theory and Conceptual Framework in Nursing Research Unit 6. Research Approaches and Designs Unit 7. Sample and Sampling Techniques Unit 8. Tools and Methods of Data Collection Unit 9. Plan for Data Analysis and Interpretation Unit 10. Dissemination (Communication) and Utilization of Research Findings PART B--BIOSTATISTICS Unit 11. Introduction to Biostatistics Unit 12. Measures of Central Tendency Unit 13. Measures of Variability Unit 14. Normal Probability Distribution Unit 15. Measures of Relationship Unit 16. Inferential Statistics and Hypothesis Testing Unit 17. Application of Statistics in Health and Use of Computers for Data Analysis Glossary Appendices Index

Clinical Biostatistics and Epidemiology Made Ridiculously Simple
Clinical Biostatistics and Epidemiology Made Ridiculously Simple

Author: Ann Weaver

Publisher:

Published: 2019

Total Pages: 104

ISBN-13:

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The most important points in clinical biostatistics, presented intuitively with clinical examples. Valuable not only for biostatistics courses and medical board review, but for providing a lasting clear approach to interpreting medical research reports.

Basic Biostatistics
Basic Biostatistics

Author: Gerstman

Publisher: Jones & Bartlett Publishers

Published: 2014-02-07

Total Pages: 662

ISBN-13: 1284025470

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Basic Biostatistics is a concise, introductory text that covers biostatistical principles and focuses on the common types of data encountered in public health and biomedical fields. The text puts equal emphasis on exploratory and confirmatory statistical methods. Sampling, exploratory data analysis, estimation, hypothesis testing, and power and precision are covered through detailed, illustrative examples. The book is organized into three parts: Part I addresses basic concepts and techniques; Part II covers analytic techniques for quantitative response variables; and Part III covers techniques for categorical responses. The Second Edition offers many new exercises as well as an all new chapter on "Poisson Random Variables and the Analysis of Rates." With language, examples, and exercises that are accessible to students with modest mathematical backgrounds, this is the perfect introductory biostatistics text for undergraduates and graduates in various fields of public health. Features: Illustrative, relevant examples and exercises incorporated throughout the book. Answers to odd-numbered exercises provided in the back of the book. (Instructors may requests answers to even-numbered exercises from the publisher. Chapters are intentionally brief and limited in scope to allow for flexibility in the order of coverage. Equal attention is given to manual calculations as well as the use of statistical software such as StaTable, SPSS, and WinPepi. Comprehensive Companion Website with Student and Instructor's Resources.

Biostatistics for Epidemiology and Public Health Using R
Biostatistics for Epidemiology and Public Health Using R

Author: Bertram K.C. Chan, PhD

Publisher: Springer Publishing Company

Published: 2015-11-05

Total Pages: 460

ISBN-13: 0826110266

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Since it first appeared in 1996, the open-source programming language R has become increasingly popular as an environment for statistical analysis and graphical output. In addition to being freely available, R offers several advantages for biostatistics, including strong graphics capabilities, the ability to write customized functions, and its extensibility. This is the first textbook to present classical biostatistical analysis for epidemiology and related public health sciences to students using the R language. Based on the assumption that readers have minimal familiarity with statistical concepts, the author uses a step-bystep approach to building skills. The text encompasses biostatistics from basic descriptive and quantitative statistics to survival analysis and missing data analysis in epidemiology. Illustrative examples, including real-life research problems and exercises drawn from such areas as nutrition, environmental health, and behavioral health, engage students and reinforce the understanding of R. These examples illustrate the replication of R for biostatistical calculations and graphical display of results. The text covers both essential and advanced techniques and applications in biostatistics that are relevant to epidemiology. This text is supplemented with teaching resources, including an online guide for students in solving exercises and an instructor's manual. KEY FEATURES: First overview biostatistics textbook for epidemiology and public health that uses the open-source R program Covers essential and advanced techniques and applications in biostatistics as relevant to epidemiology Features abundant examples and exercises to illustrate the application of R language for biostatistical calculations and graphical displays of results Includes online student solutions guide and instructor's manual