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Medical Statistics A Practical Approach
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Book Synopsis Statistics for Nursing: A Practical Approach by : Elizabeth Heavey
Download or read book Statistics for Nursing: A Practical Approach written by Elizabeth Heavey and published by Jones & Bartlett Learning. This book was released on 2022-12-09 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nurses are leveraging new technologies to interpret and analyze clinical data. Understanding how to use that information and make appropriate clinical decisions are vital to their role and proper patient care. Statistics for Nursing: A Practical Approach, Fourth Edition presents the complicated topic of statistics in an understandable manner, so students are prepared to start their career no matter the setting. Relevant clinical examples followed by end of chapter application exercises, provide students the opportunity to practice statistics while learning. The Fourth Edition introduces Intellectus Statistics, a web-based statistical software program designed to help non-statisticians learn to conduct research and complete statistical analyses appropriately. Often, computer applications are the most stressful part of learning statistics. This program simplifies the process of learning the software while helping students produce and understand the actual statistics content.
Book Synopsis Clinical Prediction Models by : Ewout W. Steyerberg
Download or read book Clinical Prediction Models written by Ewout W. Steyerberg and published by Springer. This book was released on 2019-07-22 with total page 574 pages. Available in PDF, EPUB and Kindle. Book excerpt: The second edition of this volume provides insight and practical illustrations on how modern statistical concepts and regression methods can be applied in medical prediction problems, including diagnostic and prognostic outcomes. Many advances have been made in statistical approaches towards outcome prediction, but a sensible strategy is needed for model development, validation, and updating, such that prediction models can better support medical practice. There is an increasing need for personalized evidence-based medicine that uses an individualized approach to medical decision-making. In this Big Data era, there is expanded access to large volumes of routinely collected data and an increased number of applications for prediction models, such as targeted early detection of disease and individualized approaches to diagnostic testing and treatment. Clinical Prediction Models presents a practical checklist that needs to be considered for development of a valid prediction model. Steps include preliminary considerations such as dealing with missing values; coding of predictors; selection of main effects and interactions for a multivariable model; estimation of model parameters with shrinkage methods and incorporation of external data; evaluation of performance and usefulness; internal validation; and presentation formatting. The text also addresses common issues that make prediction models suboptimal, such as small sample sizes, exaggerated claims, and poor generalizability. The text is primarily intended for clinical epidemiologists and biostatisticians. Including many case studies and publicly available R code and data sets, the book is also appropriate as a textbook for a graduate course on predictive modeling in diagnosis and prognosis. While practical in nature, the book also provides a philosophical perspective on data analysis in medicine that goes beyond predictive modeling. Updates to this new and expanded edition include: • A discussion of Big Data and its implications for the design of prediction models • Machine learning issues • More simulations with missing ‘y’ values • Extended discussion on between-cohort heterogeneity • Description of ShinyApp • Updated LASSO illustration • New case studies
Book Synopsis Modern Medical Statistics by : Brian S. Everitt
Download or read book Modern Medical Statistics written by Brian S. Everitt and published by Wiley. This book was released on 2010-06-28 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical science plays an increasingly important role in medical research. Over the last few decades, many new statistical methods have been developed which have particular relevance for medical researchers and, with the appropriate software now easily available, these techniques can be used almost routinely to great effect. These innovative methods include survival analysis, generalized additive models and Bayesian methods. Modern Medical Statistics covers these essential new techniques at an accessible technical level, its main focus being not on the theory but on the effective practical application of these methods in medical research. Modern Medical Statistics is an indispensable practical guide for medical researchers and medical statisticians as well as an ideal text for advanced courses in medical statistics and public health.
Book Synopsis Medical Statistics by : Stephen J. Walters
Download or read book Medical Statistics written by Stephen J. Walters and published by John Wiley & Sons. This book was released on 2021-02-01 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 5th edition of this popular introduction to statistics for the medical and health sciences has undergone a significant revision, with several new chapters added and examples refreshed throughout the book. Yet it retains its central philosophy to explain medical statistics with as little technical detail as possible, making it accessible to a wide audience. Helpful multi-choice exercises are included at the end of each chapter, with answers provided at the end of the book. Each analysis technique is carefully explained and the mathematics kept to minimum. Written in a style suitable for statisticians and clinicians alike, this edition features many real and original examples, taken from the authors' combined many years' experience of designing and analysing clinical trials and teaching statistics. Students of the health sciences, such as medicine, nursing, dentistry, physiotherapy, occupational therapy, and radiography should find the book useful, with examples relevant to their disciplines. The aim of training courses in medical statistics pertinent to these areas is not to turn the students into medical statisticians but rather to help them interpret the published scientific literature and appreciate how to design studies and analyse data arising from their own projects. However, the reader who is about to design their own study and collect, analyse and report on their own data will benefit from a clearly written book on the subject which provides practical guidance to such issues. The practical guidance provided by this book will be of use to professionals working in and/or managing clinical trials, in academic, public health, government and industry settings, particularly medical statisticians, clinicians, trial co-ordinators. Its practical approach will appeal to applied statisticians and biomedical researchers, in particular those in the biopharmaceutical industry, medical and public health organisations.
Book Synopsis Basic Biostatistics for Geneticists and Epidemiologists by : Robert C. Elston
Download or read book Basic Biostatistics for Geneticists and Epidemiologists written by Robert C. Elston and published by John Wiley & Sons. This book was released on 2008-11-20 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Clinical Trials by : Stuart J. Pocock
Download or read book Clinical Trials written by Stuart J. Pocock and published by John Wiley & Sons. This book was released on 2013-07-17 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive, unified text on the principles and practice of clinical trials presents a detailed account of how to conduct the trials. It describes the design, analysis, and interpretation of clinical trials in a non-technical manner and provides a general perspective on their historical development, current status, and future strategy. Features examples derived from the author's personal experience.
Book Synopsis Medical Statistics: A Practical Approach by : Tze-san Lee
Download or read book Medical Statistics: A Practical Approach written by Tze-san Lee and published by World Scientific. This book was released on 2021-01-05 with total page 426 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is suitable to be used as a textbook for all levels of students in medical school. It is also useful as a reference book for students interested in the application of biostatistics in medicine. Materials from the Introduction to Chapter 6 are similar to those of an elementary statistical textbook.This book is more modern than the current textbook in medical statistics. In this book, biostatistics and epidemiologic concepts are nicely blended. In contrast to the fallacy of the p-value, it introduces the Bayes factor as a measure of the evidence hidden in the sample data. It illustrates the application of the regression to the mean in medicine. Many epidemiologic concepts such as sensitivity and specificity of the diagnostic test, classification and discrimination, types of bias, etc. are discussed in the book.Chapter 7 on 'Correlation and Regression' includes the concept of regression to the mean, generalized linear (Poisson and Logistic) regression models, and discrimination of new data to belong to which sample data sets. Chapter 8 covers the nonparametric inference, including Kolmogorov and Smirnov test. Via the estimation and hypothesis testing, sample sizes are determined in Chapter 9. Chapter 10 discusses the study of design for collecting sample data, including cohort, cross-sectional, case-control, and clinical trial. In addition, types of bias are expounded as a last section in Chapter 10.Chapter 11 covers in detail the inference on contingency tables, including 2 x 2, two-way, and three-way. Five tests (Pearson, log-odds-ratio, Fisher-Irwin, McNemar, and Ejigou-McHugh) are listed in Section 11.1. Six tests (Pearson, First-order interaction, Yate's linear trend, Stuart's marginal homogeneity, Kendall, and Wilcoxon-Mann-Whitney) are described in Section 11.2. Three tests (Pearson, log-odds-ratio on first-order interaction, Barlett's on second-order interaction) and Simpson's paradox are covered in Section 11.3.Chapter 12 covers analysis of survival data. Two methods (life-table and Kaplan-Meier) are introduced for estimating the survivor function in Section 12.2. Four methods (maximum likelihood, Armitage's preference, Wald's sequential sign, and Armitage's restricted sequential) for comparing two survival curves are covered in Section 12.3. Proportional hazard model and the log-rank test are discussed, respectively, in Section 12.4 and 12.5.In addition, advanced techniques in comparing two survival curves are included in the book such as Armitage's preference method, Armitage's restricted sequential test and Wald's sequential sign test. Also, inference on contingency tables are treated in more detail than other books.
Book Synopsis Basic Statistics and Epidemiology by : Antony Stewart
Download or read book Basic Statistics and Epidemiology written by Antony Stewart and published by Radcliffe Publishing. This book was released on 2007 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: A guide in basic statistics emphasises its practical use in epidemiology and public health, providing understanding of topics such as study design, data analysis and statistical methods used in the execution of medical research. This title includes sections on Correlation and Linear Regression, as well as exercises reflecting working life.
Book Synopsis Bayesian Core: A Practical Approach to Computational Bayesian Statistics by : Jean-Michel Marin
Download or read book Bayesian Core: A Practical Approach to Computational Bayesian Statistics written by Jean-Michel Marin and published by Springer Science & Business Media. This book was released on 2007-02-06 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Bayesian modeling book provides the perfect entry for gaining a practical understanding of Bayesian methodology. It focuses on standard statistical models and is backed up by discussed real datasets available from the book website.
Book Synopsis Preventing and Treating Missing Data in Longitudinal Clinical Trials by : Craig H. Mallinckrodt
Download or read book Preventing and Treating Missing Data in Longitudinal Clinical Trials written by Craig H. Mallinckrodt and published by Cambridge University Press. This book was released on 2013-01-28 with total page 185 pages. Available in PDF, EPUB and Kindle. Book excerpt: Focuses on the prevention and treatment of missing data in longitudinal clinical trials, looking at key principles and explaining analytic methods.
Book Synopsis A Practical Approach to Analyzing Healthcare Data 4e by : White
Download or read book A Practical Approach to Analyzing Healthcare Data 4e written by White and published by . This book was released on 2021-03-31 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Medical Statistics from Scratch by : David Bowers
Download or read book Medical Statistics from Scratch written by David Bowers and published by John Wiley & Sons. This book was released on 2008-04-15 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis Practical Biostatistics by : Mendel Suchmacher
Download or read book Practical Biostatistics written by Mendel Suchmacher and published by Academic Press. This book was released on 2012-07-26 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis Pharmaceutical Statistics Using SAS by : Alex Dmitrienko, Ph.D.
Download or read book Pharmaceutical Statistics Using SAS written by Alex Dmitrienko, Ph.D. and published by SAS Institute. This book was released on 2007-02-07 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduces a range of data analysis problems encountered in drug development and illustrates them using case studies from actual pre-clinical experiments and clinical studies. Includes a discussion of methodological issues, practical advice from subject matter experts, and review of relevant regulatory guidelines.
Book Synopsis JAMA Guide to Statistics and Methods by : Edward H. Livingston
Download or read book JAMA Guide to Statistics and Methods written by Edward H. Livingston and published by McGraw Hill Professional. This book was released on 2019-11-29 with total page 529 pages. Available in PDF, EPUB and Kindle. Book excerpt: The world-renowned experts at JAMA® explain statistical analysis and the methods used in medical research Written in the language and style appropriate for clinicians and researchers, this new JAMA Guide to Statistics and Methods provides explanations and expert discussion of the statistical analytic approaches and methods used in the medical research reported in articles appearing in JAMA and the JAMA Network journals. This addition to the JAMAevidence® series is particularly timely and necessary because today’s physicians and other health care professionals must pursue lifelong learning to keep up with the ever-expanding universe of new medical science and evidence-based clinical information. Readers and users of research articles must have a firm grasp of the myriad new statistical, analytic, and methodologic approaches used in contemporary medical studies. To provide concrete examples, the explanations in the book link to research articles that incorporate the specific statistical test or methodological approach being discussed.
Book Synopsis Multivariate Statistics Made Simple by : K. V. S. Sarma
Download or read book Multivariate Statistics Made Simple written by K. V. S. Sarma and published by Chapman & Hall/CRC. This book was released on 2018-11-19 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explains the advanced but essential concepts of Multivariate Statistics in a practical way while touching the mathematical logic in a befitting manner. The illustrations are based on real case studies from a super specialty hospital where active research is going on.
Book Synopsis Evaluating Clinical and Public Health Interventions by : Mitchell H. Katz
Download or read book Evaluating Clinical and Public Health Interventions written by Mitchell H. Katz and published by Cambridge University Press. This book was released on 2010-04-29 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: Whether you are evaluating the effectiveness of a drug, a medical device, a behavioral intervention, a community mobilization, or even a new law, this is the book for you. Written in plain language, it simplifies the process of designing interventions, analyzing the data, and publishing the results. Because the choice of research design depends on the nature of the intervention, the book covers randomized and nonrandomized designs, prospective and retrospective studies, planned clinical trials and observational studies. In addition to reviewing standard statistical analysis, the book has easy-to-follow explanations of cutting edge techniques for evaluating interventions, including propensity score analysis, instrumental variable analysis, interrupted time series analysis and sensitivity analysis. All techniques are illustrated with up-to-date examples from medical and public health literature. This will be essential reading for a wide range of healthcare professionals involved in research as well as those more specifically interested in public health issues and epidemiology.
