Biostatistics for Medical and Biomedical Practitioners

Biostatistics for Medical and Biomedical Practitioners
Author: Julien I. E. Hoffman
Publsiher: Academic Press
Total Pages: 770
Release: 2015-09-03
ISBN 10: 0128026073
ISBN 13: 9780128026076
Language: EN, FR, DE, ES & NL

Biostatistics for Medical and Biomedical Practitioners Book Review:

Biostatistics for Practitioners: An Interpretative Guide for Medicine and Biology deals with several aspects of statistics that are indispensable for researchers and students across the biomedical sciences. The book features a step-by-step approach, focusing on standard statistical tests, as well as discussions of the most common errors. The book is based on the author’s 40+ years of teaching statistics to medical fellows and biomedical researchers across a wide range of fields. Discusses how to use the standard statistical tests in the biomedical field, as well as how to make statistical inferences (t test, ANOVA, regression etc.) Includes non-standards tests, including equivalence or non-inferiority testing, extreme value statistics, cross-over tests, and simple time series procedures such as the runs test and Cusums Introduces procedures such as multiple regression, Poisson regression, meta-analysis and resampling statistics, and provides references for further studies

The Essentials of Biostatistics for Physicians Nurses and Clinicians

The Essentials of Biostatistics for Physicians  Nurses  and Clinicians
Author: Michael R. Chernick
Publsiher: John Wiley & Sons
Total Pages: 228
Release: 2011-08-04
ISBN 10: 1118071948
ISBN 13: 9781118071946
Language: EN, FR, DE, ES & NL

The Essentials of Biostatistics for Physicians Nurses and Clinicians Book Review:

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.

Essential Statistical Methods for Medical Statistics

Essential Statistical Methods for Medical Statistics
Author: J. Philip Miller
Publsiher: Elsevier
Total Pages: 368
Release: 2010-11-08
ISBN 10: 9780444537386
ISBN 13: 0444537384
Language: EN, FR, DE, ES & NL

Essential Statistical Methods for Medical Statistics Book Review:

Essential Statistical Methods for Medical Statistics presents only key contributions which have been selected from the volume in the Handbook of Statistics: Medical Statistics, Volume 27 (2009). While the use of statistics in these fields has a long and rich history, the explosive growth of science in general, and of clinical and epidemiological sciences in particular, has led to the development of new methods and innovative adaptations of standard methods. This volume is appropriately focused for individuals working in these fields. Contributors are internationally renowned experts in their respective areas. · Contributors are internationally renowned experts in their respective areas · Addresses emerging statistical challenges in epidemiological, biomedical, and pharmaceutical research · Methods for assessing Biomarkers, analysis of competing risks · Clinical trials including sequential and group sequential, crossover designs, cluster randomized, and adaptive designs · Structural equations modelling and longitudinal data analysis

Tutorials in Biostatistics Statistical Methods in Clinical Studies

Tutorials in Biostatistics  Statistical Methods in Clinical Studies
Author: Ralph B. D'Agostino
Publsiher: John Wiley & Sons
Total Pages: 466
Release: 2005-09-27
ISBN 10: 047002366X
ISBN 13: 9780470023662
Language: EN, FR, DE, ES & NL

Tutorials in Biostatistics Statistical Methods in Clinical Studies Book Review:

The Tutorials in Biostatistics have become a very popular feature of the prestigious Wiley journal, Statistics in Medicine (SIM). The introductory style and practical focus make them accessible to a wide audience including medical practitioners with limited statistical knowledge. This book represents the first of two volumes presenting the best tutorials published in SIM, focusing on statistical methods in clinical studies. Topics include the design and analysis of clinical trials, epidemiology, survival analysis, and data monitoring. Each tutorial is focused on a medical problem, has been fully peer-reviewed and edited, and is authored by leading researchers in biostatistics. Many articles include an appendix on the latest developments since publication in the journal and additional references. This will appeal to statisticians working in medical research, as well as statistically-minded clinicians, biologists, epidemiologists and geneticists. It will also appeal to graduate students of biostatistics.

Applied Biostatistics for the Health Sciences

Applied Biostatistics for the Health Sciences
Author: Richard J. Rossi
Publsiher: John Wiley & Sons
Total Pages: 648
Release: 2010
ISBN 10: 0470147644
ISBN 13: 9780470147641
Language: EN, FR, DE, ES & NL

Applied Biostatistics for the Health Sciences Book Review:

Biostatistics is quickly becoming one of the most important areas of statistics due to the tremendous increase in health care needs. This book successfully introduces the terminology, concepts, and correct uses and interpretation of biostatistics. It is ideal for practitioners as well as students going into health care fields. Pedagogical features include formulas highlighted in text boxes and chapter summaries that highlight key vocabulary and concepts for the chapter. An accompanying Web site provides both MINITAB® and Microsoft® Office Excel® data files data for the case studies and exercises that are contained in the text.

Biostatistics

Biostatistics
Author: Wayne W. Daniel,Chad L. Cross
Publsiher: Wiley
Total Pages: 720
Release: 2018-11-13
ISBN 10: 1119282373
ISBN 13: 9781119282372
Language: EN, FR, DE, ES & NL

Biostatistics Book Review:

The ability to analyze and interpret enormous amounts of data has become a prerequisite for success in allied healthcare and the health sciences. Now in its 11th edition, Biostatistics: A Foundation for Analysis in the Health Sciences continues to offer in-depth guidance toward biostatistical concepts, techniques, and practical applications in the modern healthcare setting. Comprehensive in scope yet detailed in coverage, this text helps students understand—and appropriately use—probability distributions, sampling distributions, estimation, hypothesis testing, variance analysis, regression, correlation analysis, and other statistical tools fundamental to the science and practice of medicine. Clearly-defined pedagogical tools help students stay up-to-date on new material, and an emphasis on statistical software allows faster, more accurate calculation while putting the focus on the underlying concepts rather than the math. Students develop highly relevant skills in inferential and differential statistical techniques, equipping them with the ability to organize, summarize, and interpret large bodies of data. Suitable for both graduate and advanced undergraduate coursework, this text retains the rigor required for use as a professional reference.

Applied Mathematics for the Analysis of Biomedical Data

Applied Mathematics for the Analysis of Biomedical Data
Author: Peter J. Costa
Publsiher: John Wiley & Sons
Total Pages: 448
Release: 2017-03-27
ISBN 10: 1119269490
ISBN 13: 9781119269496
Language: EN, FR, DE, ES & NL

Applied Mathematics for the Analysis of Biomedical Data Book Review:

Features a practical approach to the analysis of biomedical data via mathematical methods and provides a MATLAB® toolbox for the collection, visualization, and evaluation of experimental and real-life data Applied Mathematics for the Analysis of Biomedical Data: Models, Methods, and MATLAB® presents a practical approach to the task that biological scientists face when analyzing data. The primary focus is on the application of mathematical models and scientific computing methods to provide insight into the behavior of biological systems. The author draws upon his experience in academia, industry, and government–sponsored research as well as his expertise in MATLAB to produce a suite of computer programs with applications in epidemiology, machine learning, and biostatistics. These models are derived from real–world data and concerns. Among the topics included are the spread of infectious disease (HIV/AIDS) through a population, statistical pattern recognition methods to determine the presence of disease in a diagnostic sample, and the fundamentals of hypothesis testing. In addition, the author uses his professional experiences to present unique case studies whose analyses provide detailed insights into biological systems and the problems inherent in their examination. The book contains a well-developed and tested set of MATLAB functions that act as a general toolbox for practitioners of quantitative biology and biostatistics. This combination of MATLAB functions and practical tips amplifies the book’s technical merit and value to industry professionals. Through numerous examples and sample code blocks, the book provides readers with illustrations of MATLAB programming. Moreover, the associated toolbox permits readers to engage in the process of data analysis without needing to delve deeply into the mathematical theory. This gives an accessible view of the material for readers with varied backgrounds. As a result, the book provides a streamlined framework for the development of mathematical models, algorithms, and the corresponding computer code. In addition, the book features: Real–world computational procedures that can be readily applied to similar problems without the need for keen mathematical acumen Clear delineation of topics to accelerate access to data analysis Access to a book companion website containing the MATLAB toolbox created for this book, as well as a Solutions Manual with solutions to selected exercises Applied Mathematics for the Analysis of Biomedical Data: Models, Methods, and MATLAB® is an excellent textbook for students in mathematics, biostatistics, the life and social sciences, and quantitative, computational, and mathematical biology. This book is also an ideal reference for industrial scientists, biostatisticians, product development scientists, and practitioners who use mathematical models of biological systems in biomedical research, medical device development, and pharmaceutical submissions.

Biostatistics in Public Health Using STATA

Biostatistics in Public Health Using STATA
Author: Erick L. Suárez,Cynthia M. Pérez,Graciela M. Nogueras,Camille Moreno-Gorrín
Publsiher: CRC Press
Total Pages: 206
Release: 2016-03-24
ISBN 10: 1498722024
ISBN 13: 9781498722025
Language: EN, FR, DE, ES & NL

Biostatistics in Public Health Using STATA Book Review:

Striking a balance between theory, application, and programming, Biostatistics in Public Health Using STATA is a user-friendly guide to applied statistical analysis in public health using STATA version 14. The book supplies public health practitioners and students with the opportunity to gain expertise in the application of statistics in epidemiolo

Medical Statistics

Medical Statistics
Author: Michael J. Campbell,David Machin,Stephen J. Walters
Publsiher: John Wiley & Sons
Total Pages: 344
Release: 2010-10-26
ISBN 10: 9780470976630
ISBN 13: 0470976632
Language: EN, FR, DE, ES & NL

Medical Statistics Book Review:

Provides students and practitioners with a clear, concise introduction to the statistics they will come across in their regular reading of clinical papers. Written by three experts with wide teaching and consulting experience, Medical Statistics: A Textbook for the Health Sciences, Fourth Edition: Assumes no prior knowledge of statistics Covers all essential statistical methods Completely revised, updated and expanded Includes numerous examples and exercises on the interpretation of the statistics in papers published in medical journals From the reviews of the previous edition: "The book has several excellent features: it is written by statisticians, is.... well presented, is well referenced.... and is short." THE LANCET "Many statisticians are concerned at the generally poor standard of statistics in papers published in medical journals. Perhaps this could be remedied if more research workers would spare a few hours to read through Campbell and Machin's book." BRITISH MEDICAL JOURNAL "... a simple, interesting and insightful introduction to medical statistics... highly recommended." STATISTICAL METHODS IN MEDICAL RESEARCH "Campbell and Machin found the golden mean... this book can be recommended for all students and all medical researchers." ISCB NEWSLETTER

Handbook of Meta Analysis

Handbook of Meta Analysis
Author: Christopher H. Schmid,Theo Stijnen,Ian White
Publsiher: CRC Press
Total Pages: 554
Release: 2020-09-08
ISBN 10: 1351645714
ISBN 13: 9781351645713
Language: EN, FR, DE, ES & NL

Handbook of Meta Analysis Book Review:

Meta-analysis is the application of statistics to combine results from multiple studies and draw appropriate inferences. Its use and importance have exploded over the last 25 years as the need for a robust evidence base has become clear in many scientific areas, including medicine and health, social sciences, education, psychology, ecology, and economics. Recent years have seen an explosion of methods for handling complexities in meta-analysis, including explained and unexplained heterogeneity between studies, publication bias, and sparse data. At the same time, meta-analysis has been extended beyond simple two-group comparisons of continuous and binary outcomes to comparing and ranking the outcomes from multiple groups, to complex observational studies, to assessing heterogeneity of effects, and to survival and multivariate outcomes. Many of these methods are statistically complex and are tailored to specific types of data. Key features Rigorous coverage of the full range of current statistical methodology used in meta-analysis Comprehensive, coherent, and unified overview of the statistical foundations behind meta-analysis Detailed description of the primary methods for both univariate and multivariate data Computer code to reproduce examples in chapters Thorough review of the literature with thousands of references Applications to specific types of biomedical and social science data This book is for a broad audience of graduate students, researchers, and practitioners interested in the theory and application of statistical methods for meta-analysis. It is written at the level of graduate courses in statistics, but will be of interest to and readable for quantitative scientists from a range of disciplines. The book can be used as a graduate level textbook, as a general reference for methods, or as an introduction to specialized topics using state-of-the art methods.

Medical Biostatistics Fourth Edition

Medical Biostatistics  Fourth Edition
Author: Abhaya Indrayan,Rajeev Kumar Malhotra
Publsiher: CRC Press
Total Pages: 720
Release: 2017-11-27
ISBN 10: 135158555X
ISBN 13: 9781351585552
Language: EN, FR, DE, ES & NL

Medical Biostatistics Fourth Edition Book Review:

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.

Statistics of Medical Imaging

Statistics of Medical Imaging
Author: Tianhu Lei
Publsiher: CRC Press
Total Pages: 438
Release: 2011-12-19
ISBN 10: 1420088432
ISBN 13: 9781420088434
Language: EN, FR, DE, ES & NL

Statistics of Medical Imaging Book Review:

Statistical investigation into technology not only provides a better understanding of the intrinsic features of the technology (analysis), but also leads to an improved design of the technology (synthesis). Physical principles and mathematical procedures of medical imaging technologies have been extensively studied during past decades. However, less work has been done on the statistical aspects of these techniques. Statistics of Medical Imaging fills this gap and provides a theoretical framework for statistical investigation into medical imaging technologies. Features Describes physical principles and mathematical procedures of two medical imaging techniques: X-ray CT and MRI Presents statistical properties of imaging data (measurements) at each stage in the imaging processes of X-ray CT and MRI Demonstrates image reconstruction as a transform from a set of random variables (imaging data) to another set of random variables (image data) Presents statistical properties of image data (pixel intensities) at three levels: a single pixel, any two pixels, and a group of pixels (a region) Provides two stochastic models for X-ray CT and MR image in terms of their statistics and two model-based statistical image analysis methods Evaluates statistical image analysis methods in terms of their detection, estimation, and classification performances Indicates that X-ray CT, MRI, PET and SPECT belong to a category of imaging: the non-diffraction computed tomography Rather than offering detailed descriptions of statistics of basic imaging protocols of X-ray CT and MRI, this book provides a method to conduct similar statistical investigations into more complicated imaging protocols.

Basic Biostatistics for Geneticists and Epidemiologists

Basic Biostatistics for Geneticists and Epidemiologists
Author: Robert C. Elston,William Johnson
Publsiher: John Wiley & Sons
Total Pages: 384
Release: 2008-11-20
ISBN 10: 0470024917
ISBN 13: 9780470024911
Language: EN, FR, DE, ES & NL

Basic Biostatistics for Geneticists and Epidemiologists Book Review:

Anyone who attempts to read genetics or epidemiology research literature needs to understand the essentials of biostatistics. This book, a revised new edition of the successful Essentials of Biostatistics has been written to provide such an understanding to those who have little or no statistical background and who need to keep abreast of new findings in this fast moving field. Unlike many other elementary books on biostatistics, the main focus of this book is to explain basic concepts needed to understand statistical procedures. This Book: Surveys basic statistical methods used in the genetics and epidemiology literature, including maximum likelihood and least squares. Introduces methods, such as permutation testing and bootstrapping, that are becoming more widely used in both genetic and epidemiological research. Is illustrated throughout with simple examples to clarify the statistical methodology. Explains Bayes’ theorem pictorially. Features exercises, with answers to alternate questions, enabling use as a course text. Written at an elementary mathematical level so that readers with high school mathematics will find the content accessible. Graduate students studying genetic epidemiology, researchers and practitioners from genetics, epidemiology, biology, medical research and statistics will find this an invaluable introduction to statistics.

Multiple Testing Problems in Pharmaceutical Statistics

Multiple Testing Problems in Pharmaceutical Statistics
Author: Alex Dmitrienko,Ajit C. Tamhane,Frank Bretz
Publsiher: CRC Press
Total Pages: 320
Release: 2009-12-08
ISBN 10: 9781584889854
ISBN 13: 1584889853
Language: EN, FR, DE, ES & NL

Multiple Testing Problems in Pharmaceutical Statistics Book Review:

Useful Statistical Approaches for Addressing Multiplicity IssuesIncludes practical examples from recent trials Bringing together leading statisticians, scientists, and clinicians from the pharmaceutical industry, academia, and regulatory agencies, Multiple Testing Problems in Pharmaceutical Statistics explores the rapidly growing area of multiple c

Bayesian Biostatistics

Bayesian Biostatistics
Author: Emmanuel Lesaffre,Andrew B. Lawson
Publsiher: John Wiley & Sons
Total Pages: 536
Release: 2012-06-18
ISBN 10: 1118314573
ISBN 13: 9781118314579
Language: EN, FR, DE, ES & NL

Bayesian Biostatistics Book Review:

The growth of biostatistics has been phenomenal in recent years and has been marked by considerable technical innovation in both methodology and computational practicality. One area that has experienced significant growth is Bayesian methods. The growing use of Bayesian methodology has taken place partly due to an increasing number of practitioners valuing the Bayesian paradigm as matching that of scientific discovery. In addition, computational advances have allowed for more complex models to be fitted routinely to realistic data sets. Through examples, exercises and a combination of introductory and more advanced chapters, this book provides an invaluable understanding of the complex world of biomedical statistics illustrated via a diverse range of applications taken from epidemiology, exploratory clinical studies, health promotion studies, image analysis and clinical trials. Key Features: Provides an authoritative account of Bayesian methodology, from its most basic elements to its practical implementation, with an emphasis on healthcare techniques. Contains introductory explanations of Bayesian principles common to all areas of application. Presents clear and concise examples in biostatistics applications such as clinical trials, longitudinal studies, bioassay, survival, image analysis and bioinformatics. Illustrated throughout with examples using software including WinBUGS, OpenBUGS, SAS and various dedicated R programs. Highlights the differences between the Bayesian and classical approaches. Supported by an accompanying website hosting free software and case study guides. Bayesian Biostatistics introduces the reader smoothly into the Bayesian statistical methods with chapters that gradually increase in level of complexity. Master students in biostatistics, applied statisticians and all researchers with a good background in classical statistics who have interest in Bayesian methods will find this book useful.

Biostatistics for the Biological and Health Sciences

Biostatistics for the Biological and Health Sciences
Author: Marc M. Triola,Mario F. Triola,Jason Allen Roy
Publsiher: Unknown
Total Pages: 699
Release: 2018
ISBN 10: 9780134039015
ISBN 13: 0134039017
Language: EN, FR, DE, ES & NL

Biostatistics for the Biological and Health Sciences Book Review:

For courses in Introductory Statistics Real-world applications connect statistical concepts to everyday life. Biostatistics for the Biological and Health Sciences uses a variety of real-world applications to bring statistical theories and methods to life. Through these examples and a friendly writing style, the 2nd Edition ensures that you understand concepts and develop skills in critical thinking, technology, and communication. The result of collaboration between a biological sciences expert and the author of the #1 statistics book in the country, Biostatistics for the Biological and Health Sciences provides an excellent introduction to statistics for readers interested in the biological, life, medical, and health sciences. Also available with MyLab Statistics MyLab(tm) Statistics is an online homework, tutorial, and assessment program designed to work with this text to engage students and improve results. Within its structured environment, students practice what they learn, test their understanding, and pursue a personalized study plan that helps them absorb course material and understand difficult concepts. Note: You are purchasing a standalone product; MyLab(tm) does not come packaged with this content. Students, if interested in purchasing this title with MyLab, ask your instructor for the correct package ISBN and Course ID. Instructors, contact your Pearson representative for more information. If you would like to purchase both the physical text and MyLab, search for: 0134768345 / 9780134768342 Biostatistics for the Biological and Health Sciences Plus MyLab Statistics with Pearson eText -- Title-Specific Access Card Package, 2/e Package consists of: 0134039017 / 9780134039015 Biostatistics for the Biological and Health Sciences 0134748875 / 9780134748870 MyLab Statistics with Pearson eText -- Standalone Access Card -- for Biostatistics for the Biological and Health Sciences

Precision Medicine for Investigators Practitioners and Providers

Precision Medicine for Investigators  Practitioners and Providers
Author: Joel Faintuch,Salomao Faintuch
Publsiher: Academic Press
Total Pages: 640
Release: 2019-11-16
ISBN 10: 0128191791
ISBN 13: 9780128191798
Language: EN, FR, DE, ES & NL

Precision Medicine for Investigators Practitioners and Providers Book Review:

Precision Medicine for Investigators, Practitioners and Providers addresses the needs of investigators by covering the topic as an umbrella concept, from new drug trials to wearable diagnostic devices, and from pediatrics to psychiatry in a manner that is up-to-date and authoritative. Sections include broad coverage of concerning disease groups and ancillary information about techniques, resources and consequences. Moreover, each chapter follows a structured blueprint, so that multiple, essential items are not overlooked. Instead of simply concentrating on a limited number of extensive and pedantic coverages, scholarly diagrams are also included. Provides a three-pronged approach to precision medicine that is focused on investigators, practitioners and healthcare providers Covers disease groups and ancillary information about techniques, resources and consequences Follows a structured blueprint, ensuring essential chapters items are not overlooked

Statistical Modeling for Biomedical Researchers

Statistical Modeling for Biomedical Researchers
Author: William D. Dupont,William Dudley Dupont
Publsiher: Cambridge University Press
Total Pages: 522
Release: 2009-02-12
ISBN 10: 0521849527
ISBN 13: 9780521849524
Language: EN, FR, DE, ES & NL

Statistical Modeling for Biomedical Researchers Book Review:

A second edition of the easy-to-use standard text guiding biomedical researchers in the use of advanced statistical methods.

Applied Meta Analysis with R

Applied Meta Analysis with R
Author: Ding-Geng (Din) Chen,Karl E. Peace
Publsiher: CRC Press
Total Pages: 342
Release: 2013-05-03
ISBN 10: 1466505990
ISBN 13: 9781466505995
Language: EN, FR, DE, ES & NL

Applied Meta Analysis with R Book Review:

In biostatistical research and courses, practitioners and students often lack a thorough understanding of how to apply statistical methods to synthesize biomedical and clinical trial data. Filling this knowledge gap, Applied Meta-Analysis with R shows how to implement statistical meta-analysis methods to real data using R. Drawing on their extensive research and teaching experiences, the authors provide detailed, step-by-step explanations of the implementation of meta-analysis methods using R. Each chapter gives examples of real studies compiled from the literature. After presenting the data and necessary background for understanding the applications, various methods for analyzing meta-data are introduced. The authors then develop analysis code using the appropriate R packages and functions. This systematic approach helps readers thoroughly understand the analysis methods and R implementation, enabling them to use R and the methods to analyze their own meta-data. Suitable as a graduate-level text for a meta-data analysis course, the book is also a valuable reference for practitioners and biostatisticians (even those with little or no experience in using R) in public health, medical research, governmental agencies, and the pharmaceutical industry.

Biostatistics for Oral Healthcare

Biostatistics for Oral Healthcare
Author: Jay S. Kim,Ronald J. Dailey
Publsiher: John Wiley & Sons
Total Pages: 344
Release: 2008-06-02
ISBN 10: 0470388277
ISBN 13: 9780470388273
Language: EN, FR, DE, ES & NL

Biostatistics for Oral Healthcare Book Review:

Biostatistics for Oral Healthcare offers students, practitioners and instructors alike a comprehensive guide to mastering biostatistics and their application to oral healthcare. Drawing on situations and methods from dentistry and oral healthcare, this book provides a thorough treatment of statistical concepts in order to promote in-depth and correct comprehension, supported throughout by technical discussion and a multitude of practical examples.