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Practical Biostatistical Methods


Practical Biostatistical Methods
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Practical Biostatistical Methods


Practical Biostatistical Methods
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Author : S. Selvin
language : en
Publisher: Brooks/Cole
Release Date : 1995

Practical Biostatistical Methods written by S. Selvin and has been published by Brooks/Cole this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Mathematics categories.


This text covers intermediate statistical methods in a practical and mathematically intuitive (no calculus) mode. It focuses on the following analysis methods useful to the researcher: linear regression, discriminant analysis, contingency tables, survival analysis, covariance, principal components, logistic regression and Poisson regression. Nonparametric methods are incorporated as needed.



Practical Biostatistics


Practical Biostatistics
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Author : Mendel Suchmacher
language : en
Publisher: Academic Press
Release Date : 2012-07-26

Practical Biostatistics written by Mendel Suchmacher and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-07-26 with Medical categories.


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



Statistical Methods In Practice


Statistical Methods In Practice
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Author : Richard Boddy
language : en
Publisher: John Wiley & Sons
Release Date : 2009-09-21

Statistical Methods In Practice written by Richard Boddy and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-09-21 with Mathematics categories.


This is a practical book on how to apply statistical methods successfully. The Authors have deliberately kept formulae to a minimum to enable the reader to concentrate on how to use the methods and to understand what the methods are for. Each method is introduced and used in a real situation from industry or research. Each chapter features situations based on the authors’ experience and looks at statistical methods for analysing data and, where appropriate, discusses the assumptions of these methods. Key features: Provides a practical hands-on manual for workplace applications. Introduces a broad range of statistical methods from confidence intervals to trend analysis. Combines realistic case studies and examples with a practical approach to statistical analysis. Features examples drawn from a wide range of industries including chemicals, petrochemicals, nuclear power, food and pharmaceuticals. Includes a supporting website, providing software to aid tutorials. Scientists and technologists of all levels who are required to design, conduct and analyse experiments will find this book to be essential reading.



Practical Statistical Methods


Practical Statistical Methods
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Author : Lakshmi Padgett
language : en
Publisher: CRC Press
Release Date : 2011-04-25

Practical Statistical Methods written by Lakshmi Padgett and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-04-25 with Mathematics categories.


Practical Statistical Methods: A SAS Programming Approach presents a broad spectrum of statistical methods useful for researchers without an extensive statistical background. In addition to nonparametric methods, it covers methods for discrete and continuous data. Omitting mathematical details and complicated formulae, the text provides SAS programs to carry out the necessary analyses and draw appropriate inferences for common statistical problems. After introducing fundamental statistical concepts, the author describes methods used for quantitative data and continuous data following normal and nonnormal distributions. She then focuses on regression methodology, highlighting simple linear regression, logistic regression, and the proportional hazards model. The final chapter briefly discusses such miscellaneous topics as propensity scores, misclassification errors, interim analysis, conditional power, bootstrap, and jackknife. With SAS code and output integrated throughout, this book shows how to interpret data using SAS and illustrates the many statistical methods available for tackling problems in a range of fields, including the pharmaceutical industry and the social sciences.



Practical Text Mining And Statistical Analysis For Non Structured Text Data Applications


Practical Text Mining And Statistical Analysis For Non Structured Text Data Applications
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Author : Gary D. Miner
language : en
Publisher: Academic Press
Release Date : 2012-01-25

Practical Text Mining And Statistical Analysis For Non Structured Text Data Applications written by Gary D. Miner and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-01-25 with Mathematics categories.


Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications brings together all the information, tools and methods a professional will need to efficiently use text mining applications and statistical analysis. Winner of a 2012 PROSE Award in Computing and Information Sciences from the Association of American Publishers, this book presents a comprehensive how-to reference that shows the user how to conduct text mining and statistically analyze results. In addition to providing an in-depth examination of core text mining and link detection tools, methods and operations, the book examines advanced preprocessing techniques, knowledge representation considerations, and visualization approaches. Finally, the book explores current real-world, mission-critical applications of text mining and link detection using real world example tutorials in such varied fields as corporate, finance, business intelligence, genomics research, and counterterrorism activities. The world contains an unimaginably vast amount of digital information which is getting ever vaster ever more rapidly. This makes it possible to do many things that previously could not be done: spot business trends, prevent diseases, combat crime and so on. Managed well, the textual data can be used to unlock new sources of economic value, provide fresh insights into science and hold governments to account. As the Internet expands and our natural capacity to process the unstructured text that it contains diminishes, the value of text mining for information retrieval and search will increase dramatically. - Extensive case studies, most in a tutorial format, allow the reader to 'click through' the example using a software program, thus learning to conduct text mining analyses in the most rapid manner of learning possible - Numerous examples, tutorials, power points and datasets available via companion website on Elsevierdirect.com - Glossary of text mining terms provided in the appendix



Practical Statistics


Practical Statistics
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Author : David Kremelberg
language : en
Publisher: SAGE Publications
Release Date : 2010-03-18

Practical Statistics written by David Kremelberg and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-03-18 with Social Science categories.


Making statistics—and statistical software—accessible and rewarding This book provides readers with step-by-step guidance on running a wide variety of statistical analyses in IBM® SPSS® Statistics, Stata, and other programs. Author David Kremelberg begins his user-friendly text by covering charts and graphs through regression, time-series analysis, and factor analysis. He provides a background of the method, then explains how to run these tests in IBM SPSS and Stata. He then progresses to more advanced kinds of statistics such as HLM and SEM, where he describes the tests and explains how to run these tests in their appropriate software including HLM and AMOS. This is an invaluable guide for upper-level undergraduate and graduate students across the social and behavioral sciences who need assistance in understanding the various statistical packages.



Statistical Methods For Practice And Research


Statistical Methods For Practice And Research
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Author : Ajai S. Gaur
language : en
Publisher:
Release Date : 2009

Statistical Methods For Practice And Research written by Ajai S. Gaur and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with SPSS (Computer file) categories.




Common Statistical Methods For Clinical Research With Sas Examples Third Edition


Common Statistical Methods For Clinical Research With Sas Examples Third Edition
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Author : Glenn Walker
language : en
Publisher: SAS Institute
Release Date : 2010-02-15

Common Statistical Methods For Clinical Research With Sas Examples Third Edition written by Glenn Walker and has been published by SAS Institute this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-02-15 with Mathematics categories.


Glenn Walker and Jack Shostak's Common Statistical Methods for Clinical Research with SAS Examples, Third Edition, is a thoroughly updated edition of the popular introductory statistics book for clinical researchers. This new edition has been extensively updated to include the use of ODS graphics in numerous examples as well as a new emphasis on PROC MIXED. Straightforward and easy to use as either a text or a reference, the book is full of practical examples from clinical research to illustrate both statistical and SAS methodology. Each example is worked out completely, step by step, from the raw data. Common Statistical Methods for Clinical Research with SAS Examples, Third Edition, is an applications book with minimal theory. Each section begins with an overview helpful to nonstatisticians and then drills down into details that will be valuable to statistical analysts and programmers. Further details, as well as bonus information and a guide to further reading, are presented in the extensive appendices. This text is a one-source guide for statisticians that documents the use of the tests used most often in clinical research, with assumptions, details, and some tricks--all in one place. This book is part of the SAS Press program.



Statistical Methods In Epidemiology


Statistical Methods In Epidemiology
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Author : Harold A. Kahn
language : en
Publisher: Monographs in Epidemiology and
Release Date : 1989

Statistical Methods In Epidemiology written by Harold A. Kahn and has been published by Monographs in Epidemiology and this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989 with Mathematics categories.


This book is an expanded version of the Kahn's widely used text, An Introduction to Epidemiologic Methods (Oxford, 1983). It provides clear insight into the basic statistical tools used in epidemiology and is written so that those without advanced statistical training can comprehend the ideas underlying the analytical techniques. The authors emphasize the extent to which similar results are obtained from different methods, both simple and complex. To this edition they have added a new chapter on "Comparison of Numerical Results for Various Methods of Adjustment" and also one on "The Primacy of Data Collection." New topics include the Kaplan-Meier product-limit method and the Cox proportional hazards model for analysis of time-related outcomes. An appendix of data from the Framingham Heart Study is used to illustrate the application of various analytical methods to an identical set of real data and provides source material for student exercises. The text has been updated throughout.



Practical Statistics For Students


Practical Statistics For Students
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Author : Louis Cohen
language : en
Publisher: SAGE
Release Date : 1996-09-28

Practical Statistics For Students written by Louis Cohen and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-09-28 with Social Science categories.


This bestselling textbook is designed to help students understand parametric and nonparametric statistical methods so that they can tackle research problems successfully. By working through this book carefully and systematically, those who may not have a strong background in mathematics will gain a thorough grasp of the most widely used statistical methods in the social sciences.