Applied Statistics In Health Sciences

Author : Rachel A. Gordon
Publisher : Taylor & Francis
Page : 800 pages
File Size : 52,9 Mb
Release : 2023-11-15
Category : Social Science
ISBN : 9781000894738

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Applied Statistics for the Social and Health Sciences by Rachel A. Gordon Pdf

For graduate students in the social and health sciences, featuring essential concepts and equations most often needed in scholarly publications. Uses excerpts from the scholarly literature in these fields to introduce new concepts. Uses publicly-available data that are regularly used in social and health science publications to introduce Stata code and illustrate concepts and interpretation. Thoroughly integrates the teaching of statistical theory with teaching data processing and analysis. Offers guidance about planning projects and organizing code for reproducibility Shows how to recognize critiques of the constructions, terminology, and interpretations of statistics. New edition focuses on Stata, with code integrated into the chapters (rather than appendices, as in the first edition) includes Stata’s factor variables and margins commands and Long and Freese’s (2014) spost13 commands, to simplify programming and facilitate interpretation.

Author : N. S. N. Rao
Publisher : Jaypee Brothers Publishers
Page : 246 pages
File Size : 44,6 Mb
Release : 2007
Category : Medical statistics
ISBN : 8184481136

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Applied Statistics in Health Sciences by N. S. N. Rao Pdf

Author : NSN Rao,NS Murthy
Publisher : Jaypee Brothers Medical Publishers Pvt. Limited
Page : 0 pages
File Size : 40,8 Mb
Release : 2008-12-01
Category : Medical
ISBN : 8184488017

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Applied Statistics in Health Sciences by NSN Rao,NS Murthy Pdf

Author : Christine Dancey,John Reidy,Richard Rowe
Publisher : SAGE
Page : 588 pages
File Size : 53,9 Mb
Release : 2012-03-19
Category : Social Science
ISBN : 9781446291238

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Statistics for the Health Sciences by Christine Dancey,John Reidy,Richard Rowe Pdf

Statistics for the Health Sciences is a highly readable and accessible textbook on understanding statistics for the health sciences, both conceptually and via the SPSS programme. The authors give clear explanations of the concepts underlying statistical analyses and descriptions of how these analyses are applied in health science research without complex maths formulae. The textbook takes students from the basics of research design, hypothesis testing and descriptive statistical techniques through to more advanced inferential statistical tests that health science students are likely to encounter. The strengths and weaknesses of different techniques are critically appraised throughout, and the authors emphasise how they may be used both in research and to inform best practice care in health settings. Exercises and tips throughout the book allow students to practice using SPSS. The companion website provides further practical experience of conducting statistical analyses. Features include: • multiple choice questions for both student and lecturer use • full Powerpoint slides for lecturers • practical exercises using SPSS • additional practical exercises using SAS and R This is an essential textbook for students studying beginner and intermediate level statistics across the health sciences.

Author : Albert Vexler,Alan Hutson
Publisher : CRC Press
Page : 416 pages
File Size : 41,9 Mb
Release : 2018-01-19
Category : Medical
ISBN : 9781315293769

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Statistics in the Health Sciences by Albert Vexler,Alan Hutson Pdf

"This very informative book introduces classical and novel statistical methods that can be used by theoretical and applied biostatisticians to develop efficient solutions for real-world problems encountered in clinical trials and epidemiological studies. The authors provide a detailed discussion of methodological and applied issues in parametric, semi-parametric and nonparametric approaches, including computationally extensive data-driven techniques, such as empirical likelihood, sequential procedures, and bootstrap methods. Many of these techniques are implemented using popular software such as R and SAS."— Vlad Dragalin, Professor, Johnson and Johnson, Spring House, PA "It is always a pleasure to come across a new book that covers nearly all facets of a branch of science one thought was so broad, so diverse, and so dynamic that no single book could possibly hope to capture all of the fundamentals as well as directions of the field. The topics within the book’s purview—fundamentals of measure-theoretic probability; parametric and non-parametric statistical inference; central limit theorems; basics of martingale theory; Monte Carlo methods; sequential analysis; sequential change-point detection—are all covered with inspiring clarity and precision. The authors are also very thorough and avail themselves of the most recent scholarship. They provide a detailed account of the state of the art, and bring together results that were previously scattered across disparate disciplines. This makes the book more than just a textbook: it is a panoramic companion to the field of Biostatistics. The book is self-contained, and the concise but careful exposition of material makes it accessible to a wide audience. This is appealing to graduate students interested in getting into the field, and also to professors looking to design a course on the subject." — Aleksey S. Polunchenko, Department of Mathematical Sciences, State University of New York at Binghamton This book should be appropriate for use both as a text and as a reference. This book delivers a "ready-to-go" well-structured product to be employed in developing advanced courses. In this book the readers can find classical and new theoretical methods, open problems and new procedures. The book presents biostatistical results that are novel to the current set of books on the market and results that are even new with respect to the modern scientific literature. Several of these results can be found only in this book.

Author : Jean-Louis Auget,N. Balakrishnan,Mounir Mesbah,Geert Molenberghs
Publisher : Springer Science & Business Media
Page : 540 pages
File Size : 51,6 Mb
Release : 2007-08-08
Category : Mathematics
ISBN : 9780817645427

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Advances in Statistical Methods for the Health Sciences by Jean-Louis Auget,N. Balakrishnan,Mounir Mesbah,Geert Molenberghs Pdf

Statistical methods have become an increasingly important and integral part of research in the health sciences. Many sophisticated methodologies have been developed for specific applications and problems. This self-contained comprehensive volume covers a wide range of topics pertaining to new statistical methods in the health sciences, including epidemiology, pharmacovigilance, quality of life, survival analysis, and genomics. The book will serve the health science community as well as practitioners, researchers, and graduate students in applied probability, statistics, and biostatistics.

Author : Applied Statistics Training Institute (U.S.)
Publisher : Unknown
Page : 72 pages
File Size : 43,8 Mb
Release : 1978
Category : Health surveys
ISBN : PURD:32754081176194

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Bulletin of Courses by Applied Statistics Training Institute (U.S.) Pdf

Author : Richard J. Rossi
Publisher : John Wiley & Sons
Page : 692 pages
File Size : 50,5 Mb
Release : 2022-04-05
Category : Medical
ISBN : 9781119722694

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Applied Biostatistics for the Health Sciences by Richard J. Rossi Pdf

APPLIED BIOSTATISTICS FOR THE HEALTH SCIENCES In this newly revised edition of Applied Biostatistics for the Health Sciences, accomplished statistician Dr. Richard Rossi delivers a robust and easy-to-understand exploration of statistics in the context of applied health science and biostatistics. The book covers sample design, logistic regression, experimental design, survival analysis, basic statistical computation, and many more topics with a strong focus on the correct use and interpretation of statistics. The author also explains how to assess the quality of observed data, how to collect quality data, and the use of confidence intervals in conjunction with hypothesis and significance tests. A thorough introduction to biostatistics, including explanations of fundamental concepts like populations, samples, statistics, biomedical studies, and data set examples A comprehensive exploration of population descriptions, including qualitative and quantitative variables, multivariate data, measures of dispersion, and probability Practical discussions of random sampling, summarizing random samples, and the measurement of the reliability of statistics In-depth examinations of confidence intervals, statistical hypothesis testing, simple and multiple linear regression, and experimental design Perfect for health science and biostatistics students and professors at the upper undergraduate and graduate levels, Applied Biostatistics for the Health Sciences is also a must-read reference for practitioners and professionals in the fields of pharmacy, biochemistry, nursing, health care informatics, and the applied health sciences.

Author : Bayo Lawal
Publisher : Springer
Page : 799 pages
File Size : 46,7 Mb
Release : 2014-09-15
Category : Medical
ISBN : 9783319055558

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Applied Statistical Methods in Agriculture, Health and Life Sciences by Bayo Lawal Pdf

This textbook teaches crucial statistical methods to answer research questions using a unique range of statistical software programs, including MINITAB and R. This textbook is developed for undergraduate students in agriculture, nursing, biology and biomedical research. Graduate students will also find it to be a useful way to refresh their statistics skills and to reference software options. The unique combination of examples is approached using MINITAB and R for their individual strengths. Subjects covered include among others data description, probability distributions, experimental design, regression analysis, randomized design and biological assay. Unlike other biostatistics textbooks, this text also includes outliers, influential observations in regression and an introduction to survival analysis. Material is taken from the author's extensive teaching and research in Africa, USA and the UK. Sample problems, references and electronic supplementary material accompany each chapter.

Author : Stephen J. Walters,Michael J. Campbell,David Machin
Publisher : John Wiley & Sons
Page : 454 pages
File Size : 45,5 Mb
Release : 2021-02-01
Category : Medical
ISBN : 9781119423645

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Medical Statistics by Stephen J. Walters,Michael J. Campbell,David Machin Pdf

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.

Author : Xiao-Hua Zhou,Chuan Zhou,Danping Lui,Xaiobo Ding
Publisher : John Wiley & Sons
Page : 260 pages
File Size : 46,9 Mb
Release : 2014-06-30
Category : Medical
ISBN : 9780470523810

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Applied Missing Data Analysis in the Health Sciences by Xiao-Hua Zhou,Chuan Zhou,Danping Lui,Xaiobo Ding Pdf

A modern and practical guide to the essential concepts and ideas for analyzing data with missing observations in the field of biostatistics With an emphasis on hands-on applications, Applied Missing Data Analysis in the Health Sciences outlines the various modern statistical methods for the analysis of missing data. The authors acknowledge the limitations of established techniques and provide newly-developed methods with concrete applications in areas such as causal inference methods and the field of diagnostic medicine. Organized by types of data, chapter coverage begins with an overall introduction to the existence and limitations of missing data and continues into traditional techniques for missing data inference, including likelihood-based, weighted GEE, multiple imputation, and Bayesian methods. The book’s subsequently covers cross-sectional, longitudinal, hierarchical, survival data. In addition, Applied Missing Data Analysis in the Health Sciences features: Multiple data sets that can be replicated using the SAS®, Stata®, R, and WinBUGS software packages Numerous examples of case studies in the field of biostatistics to illustrate real-world scenarios and demonstrate applications of discussed methodologies Detailed appendices to guide readers through the use of the presented data in various software environments Applied Missing Data Analysis in the Health Sciences is an excellent textbook for upper-undergraduate and graduate-level biostatistics courses as well as an ideal resource for health science researchers and applied statisticians.

Author : D.R. Cox
Publisher : Routledge
Page : 113 pages
File Size : 46,9 Mb
Release : 2018-02-19
Category : Mathematics
ISBN : 9781351465793

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Applied Statistics - Principles and Examples by D.R. Cox Pdf

This book should be of interest to senior undergraduate and postgraduate students of applied statistics.

Author : Janet Susan Milton,Janice O. Tsokos
Publisher : McGraw-Hill Companies
Page : 520 pages
File Size : 43,8 Mb
Release : 1983
Category : Mathematics
ISBN : UOM:39015009866529

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Statistical Methods in the Biological and Health Sciences by Janet Susan Milton,Janice O. Tsokos Pdf

Milton's Statistical Methods in the Biological and Health Sciences offers comprehensive coverage for the applied statistics course for health and bio-related majors. This course focuses primarily on developing basic statistical techniques and relevant applications within a framework that addresses the needs of these specific audiences.

Author : Barry Glaz,Kathleen M. Yeater
Publisher : John Wiley & Sons
Page : 672 pages
File Size : 44,7 Mb
Release : 2020-01-22
Category : Technology & Engineering
ISBN : 9780891183594

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Applied Statistics in Agricultural, Biological, and Environmental Sciences by Barry Glaz,Kathleen M. Yeater Pdf

Better experimental design and statistical analysis make for more robust science. A thorough understanding of modern statistical methods can mean the difference between discovering and missing crucial results and conclusions in your research, and can shape the course of your entire research career. With Applied Statistics, Barry Glaz and Kathleen M. Yeater have worked with a team of expert authors to create a comprehensive text for graduate students and practicing scientists in the agricultural, biological, and environmental sciences. The contributors cover fundamental concepts and methodologies of experimental design and analysis, and also delve into advanced statistical topics, all explored by analyzing real agronomic data with practical and creative approaches using available software tools. IN PRESS! This book is being published according to the “Just Published” model, with more chapters to be published online as they are completed.

Author : Mehmet Mehmetoglu,Matthias Mittner
Publisher : SAGE
Page : 465 pages
File Size : 48,9 Mb
Release : 2021-11-10
Category : Social Science
ISBN : 9781529766141

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Applied Statistics Using R by Mehmet Mehmetoglu,Matthias Mittner Pdf

If you want to learn to use R for data analysis but aren’t sure how to get started, this practical book will help you find the right path through your data. Drawing on real-world data to show you how to use different techniques in practice, it helps you progress your programming and statistics knowledge so you can apply the most appropriate tools in your research. It starts with descriptive statistics and moves through regression to advanced techniques such as structural equation modelling and Bayesian statistics, all with digestible mathematical detail for beginner researchers. The book: Shows you how to use R packages and apply functions, adjusting them to suit different datasets. Gives you the tools to try new statistical techniques and empowers you to become confident using them. Encourages you to learn by doing when running and adapting the authors’ own code. Equips you with solutions to overcome the potential challenges of working with real data that may be messy or imperfect. Accompanied by online resources including screencast tutorials of R that give you step by step guidance and R scripts and datasets for you to practice with, this book is a perfect companion for any student of applied statistics or quantitative research methods courses.