Regression Methods For Medical Research

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Regression Methods for Medical Research

Author : Bee Choo Tai
Publisher : John Wiley & Sons
ISBN 13 : 1118721985
Total Pages : 388 pages
Book Rating : 4.1/5 (187 download)

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Book Synopsis Regression Methods for Medical Research by : Bee Choo Tai

Download or read book Regression Methods for Medical Research written by Bee Choo Tai and published by John Wiley & Sons. This book was released on 2013-10-09 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: Regression Methods for Medical Research provides medical researchers with the skills they need to critically read and interpret research using more advanced statistical methods. The statistical requirements of interpreting and publishing in medical journals, together with rapid changes in science and technology, increasingly demands an understanding of more complex and sophisticated analytic procedures. The text explains the application of statistical models to a wide variety of practical medical investigative studies and clinical trials. Regression methods are used to appropriately answer the key design questions posed and in so doing take due account of any effects of potentially influencing co-variables. It begins with a revision of basic statistical concepts, followed by a gentle introduction to the principles of statistical modelling. The various methods of modelling are covered in a non-technical manner so that the principles can be more easily applied in everyday practice. A chapter contrasting regression modelling with a regression tree approach is included. The emphasis is on the understanding and the application of concepts and methods. Data drawn from published studies are used to exemplify statistical concepts throughout. Regression Methods for Medical Research is especially designed for clinicians, public health and environmental health professionals, para-medical research professionals, scientists, laboratory-based researchers and students.

Regression Models as a Tool in Medical Research

Author : Werner Vach
Publisher : CRC Press
ISBN 13 : 1466517484
Total Pages : 497 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Regression Models as a Tool in Medical Research by : Werner Vach

Download or read book Regression Models as a Tool in Medical Research written by Werner Vach and published by CRC Press. This book was released on 2012-11-27 with total page 497 pages. Available in PDF, EPUB and Kindle. Book excerpt: While regression models have become standard tools in medical research, understanding how to properly apply the models and interpret the results is often challenging for beginners. Regression Models as a Tool in Medical Research presents the fundamental concepts and important aspects of regression models most commonly used in medical research, including the classical regression model for continuous outcomes, the logistic regression model for binary outcomes, and the Cox proportional hazards model for survival data. The text emphasizes adequate use, correct interpretation of results, appropriate presentation of results, and avoidance of potential pitfalls. After reviewing popular models and basic methods, the book focuses on advanced topics and techniques. It considers the comparison of regression coefficients, the selection of covariates, the modeling of nonlinear and nonadditive effects, and the analysis of clustered and longitudinal data, highlighting the impact of selection mechanisms, measurement error, and incomplete covariate data. The text then covers the use of regression models to construct risk scores and predictors. It also gives an overview of more specific regression models and their applications as well as alternatives to regression modeling. The mathematical details underlying the estimation and inference techniques are provided in the appendices.

Regression Models as a Tool in Medical Research

Author : Werner Vach
Publisher : CRC Press
ISBN 13 : 1466517492
Total Pages : 494 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Regression Models as a Tool in Medical Research by : Werner Vach

Download or read book Regression Models as a Tool in Medical Research written by Werner Vach and published by CRC Press. This book was released on 2012-11-27 with total page 494 pages. Available in PDF, EPUB and Kindle. Book excerpt: While regression models have become standard tools in medical research, understanding how to properly apply the models and interpret the results is often challenging for beginners. This text presents the fundamental concepts and important aspects of regression models most commonly used in medical research, including the classical regression model for continuous outcomes, the logistic regression model for binary outcomes, and the Cox proportional hazards model for survival data. The author emphasizes adequate use, correct interpretation of results, appropriate presentation of results, and avoidance of potential pitfalls.

Regression Analysis in Medical Research

Author : Ton J. Cleophas
Publisher : Springer
ISBN 13 : 3319719378
Total Pages : 424 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Regression Analysis in Medical Research by : Ton J. Cleophas

Download or read book Regression Analysis in Medical Research written by Ton J. Cleophas and published by Springer. This book was released on 2018-01-29 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edition is a pretty complete textbook and tutorial for medical and health care students, as well as a recollection/update bench, and help desk for professionals. Novel approaches already applied in published clinical research will be addressed: matrix analyses, alpha spending, gate keeping, kriging, interval censored regressions, causality regressions, canonical regressions, quasi-likelihood regressions, novel non-parametric regressions. Each chapter can be studied as a stand-alone, and covers one field in the fast growing world of regression analyses. The authors, as professors in statistics and machine learning at European universities, are worried, that their students find regression-analyses harder than any other methodology in statistics. This is serious, because almost all of the novel methodologies in current data mining and data analysis include elements of regression-analysis. It is the main incentive for writing this 28 chapter edition, consistent of - 28 major fields of regression analysis, - their condensed maths, - their applications in medical and health research as published so far, - step by step analyses for self-assessment, - conclusion and reference sections. Traditional regression analysis is adequate for epidemiology, but lacks the precision required for clinical investigations. However, in the past two decades modern regression methods have proven to be much more precise. And so it is time, that a book described regression analyses for clinicians. The current edition is the first to do so. It is written for a non-mathematical readership. Self-assessment data-files are provided through Springer' s "Extras Online".

Statistical Methods in Medical Research

Author : Peter Armitage
Publisher : John Wiley & Sons
ISBN 13 : 0470775343
Total Pages : 833 pages
Book Rating : 4.4/5 (77 download)

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Book Synopsis Statistical Methods in Medical Research by : Peter Armitage

Download or read book Statistical Methods in Medical Research written by Peter Armitage and published by John Wiley & Sons. This book was released on 2008-04-15 with total page 833 pages. Available in PDF, EPUB and Kindle. Book excerpt: The explanation and implementation of statistical methods for the medical researcher or statistician remains an integral part of modern medical research. This book explains the use of experimental and analytical biostatistics systems. Its accessible style allows it to be used by the non-mathematician as a fundamental component of successful research. Since the third edition, there have been many developments in statistical techniques. The fourth edition provides the medical statistician with an accessible guide to these techniques and to reflect the extent of their usage in medical research. The new edition takes a much more comprehensive approach to its subject. There has been a radical reorganization of the text to improve the continuity and cohesion of the presentation and to extend the scope by covering many new ideas now being introduced into the analysis of medical research data. The authors have tried to maintain the modest level of mathematical exposition that characterized the earlier editions, essentially confining the mathematics to the statement of algebraic formulae rather than pursuing mathematical proofs. Received the Highly Commended Certificate in the Public Health Category of the 2002 BMA Books Competition.

Regression Methods in Biostatistics

Author : Eric Vittinghoff
Publisher : Springer Science & Business Media
ISBN 13 : 0387272550
Total Pages : 346 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Regression Methods in Biostatistics by : Eric Vittinghoff

Download or read book Regression Methods in Biostatistics written by Eric Vittinghoff and published by Springer Science & Business Media. This book was released on 2006-03-30 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: Here is a unified, readable introduction to multipredictor regression methods in biostatistics, including linear models for continuous outcomes, logistic models for binary outcomes, the Cox model for right-censored survival times, and generalized linear models for counts and other outcomes. The authors describe shared elements in methods for selecting, estimating, checking, and interpreting each model, and show that these regression methods deal with confounding, mediation, and interaction of causal effects in essentially the same way.

Quantile Regression in Clinical Research

Author : Ton J. Cleophas
Publisher : Springer Nature
ISBN 13 : 3030828409
Total Pages : 283 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Quantile Regression in Clinical Research by : Ton J. Cleophas

Download or read book Quantile Regression in Clinical Research written by Ton J. Cleophas and published by Springer Nature. This book was released on 2022-01-17 with total page 283 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantile regression is an approach to data at a loss of homogeneity, for example (1) data with outliers, (2) skewed data like corona - deaths data, (3) data with inconstant variability, (4) big data. In clinical research many examples can be given like circadian phenomena, and diseases where spreading may be dependent on subsets with frailty, low weight, low hygiene, and many forms of lack of healthiness. Stratified analyses is the laborious and rather explorative way of analysis, but quantile analysis is a more fruitful, faster and completer alternative for the purpose. Considering all of this, we are on the verge of a revolution in data analysis. The current edition is the first textbook and tutorial of quantile regressions for medical and healthcare students as well as recollection/update bench, and help desk for professionals. Each chapter can be studied as a standalone and covers one of the many fields in the fast growing world of quantile regressions. Step by step analyses of over 20 data files stored at extras.springer.com are included for self-assessment. We should add that the authors are well qualified in their field. Professor Zwinderman is past-president of the International Society of Biostatistics (2012-2015) and Professor Cleophas is past-president of the American College of Angiology(2000-2002). From their expertise they should be able to make adequate selections of modern quantile regression methods for the benefit of physicians, students, and investigators.

Practical Statistics for Medical Research

Author : Douglas G. Altman
Publisher : CRC Press
ISBN 13 : 1000228819
Total Pages : 624 pages
Book Rating : 4.0/5 (2 download)

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Book Synopsis Practical Statistics for Medical Research by : Douglas G. Altman

Download or read book Practical Statistics for Medical Research written by Douglas G. Altman and published by CRC Press. This book was released on 1990-11-22 with total page 624 pages. Available in PDF, EPUB and Kindle. Book excerpt: Practical Statistics for Medical Research is a problem-based text for medical researchers, medical students, and others in the medical arena who need to use statistics but have no specialized mathematics background. The author draws on twenty years of experience as a consulting medical statistician to provide clear explanations to key statistical concepts, with a firm emphasis on practical aspects of designing and analyzing medical research. Using real data and including dozens of interesting data sets, this bestselling text gives special attention to the presentation and interpretation of results and the many real problems that arise in medical research.

Using and Understanding Medical Statistics

Author : David E. Matthews
Publisher : Karger Medical and Scientific Publishers
ISBN 13 : 3805581890
Total Pages : 340 pages
Book Rating : 4.8/5 (55 download)

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Book Synopsis Using and Understanding Medical Statistics by : David E. Matthews

Download or read book Using and Understanding Medical Statistics written by David E. Matthews and published by Karger Medical and Scientific Publishers. This book was released on 2007-01-01 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Noteworthy advances have occurred in both the practice of medicine and biostatistical methods since the previous edition of this book was published. For example, physicians' acceptance of the importance of 'evidence-based medicine' is much more widespread now than it was in the mid-1990s. Even a casual reading of the current medical literature reveals that a basic grasp of statistical concepts and a passing appreciation for what statistical analysis can and cannot do is essential in order to understand and critically assess published reports concerning the frontiers of medical research. The fourth revised edition of this highly successful volume represents the most substantial revision of 'Using and Understanding Medical Statistics' since the first edition was published more than 20 years ago. The authors have added five entirely new chapters on Poisson regression, the analysis of variance, meta-analysis, diagnostic tests and the subject of measurement agreement and reliability. In addition, there are sections describing new topics or exploring new examples in the chapters on the Kaplan-Meier estimate, the log-rank test, longitudinal studies, data analysis, clinical trials and epidemiological applications. The end result is an excellent introduction to medical statistics, as well as a valuable reference concerning many of the more complex statistical methods and techniques currently appearing in medical publications.

Handbook of Regression and Modeling

Author : Daryl S. Paulson
Publisher : CRC Press
ISBN 13 : 1420017381
Total Pages : 522 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Handbook of Regression and Modeling by : Daryl S. Paulson

Download or read book Handbook of Regression and Modeling written by Daryl S. Paulson and published by CRC Press. This book was released on 2006-12-19 with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt: Carefully designed for use by clinical and pharmaceutical researchers and scientists, Handbook of Regression Analysis and Modeling explores statistical methods that have been adapted into biological applications for the quickly evolving field of biostatistics. The author clearly delineates a six-step method for hypothesis testing using data that mi

Quantitative Methods for Health Research

Author : Nigel Bruce
Publisher : John Wiley & Sons
ISBN 13 : 0470022744
Total Pages : 565 pages
Book Rating : 4.4/5 (7 download)

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Book Synopsis Quantitative Methods for Health Research by : Nigel Bruce

Download or read book Quantitative Methods for Health Research written by Nigel Bruce and published by John Wiley & Sons. This book was released on 2008-08-25 with total page 565 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantitative Research Methods for Health Professionals: A Practical Interactive Course is a superb introduction to epidemiology, biostatistics, and research methodology for the whole health care community. Drawing examples from a wide range of health research, this practical handbook covers important contemporary health research methods such as survival analysis, Cox regression, and meta-analysis, the understanding of which go beyond introductory concepts. The book includes self-assessment exercises throughout to help students explore and reflect on their understanding and a clear distinction is made between a) knowledge and concepts that all students should ensure they understand and b) those that can be pursued by students who wish to do so. The authors incorporate a program of practical exercises in SPSS using a prepared data set that helps to consolidate the theory and develop skills and confidence in data handling, analysis and interpretation.

The SAGE Handbook of Regression Analysis and Causal Inference

Author : Henning Best
Publisher : SAGE
ISBN 13 : 1473908353
Total Pages : 425 pages
Book Rating : 4.4/5 (739 download)

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Book Synopsis The SAGE Handbook of Regression Analysis and Causal Inference by : Henning Best

Download or read book The SAGE Handbook of Regression Analysis and Causal Inference written by Henning Best and published by SAGE. This book was released on 2013-12-20 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: ′The editors of the new SAGE Handbook of Regression Analysis and Causal Inference have assembled a wide-ranging, high-quality, and timely collection of articles on topics of central importance to quantitative social research, many written by leaders in the field. Everyone engaged in statistical analysis of social-science data will find something of interest in this book.′ - John Fox, Professor, Department of Sociology, McMaster University ′The authors do a great job in explaining the various statistical methods in a clear and simple way - focussing on fundamental understanding, interpretation of results, and practical application - yet being precise in their exposition.′ - Ben Jann, Executive Director, Institute of Sociology, University of Bern ′Best and Wolf have put together a powerful collection, especially valuable in its separate discussions of uses for both cross-sectional and panel data analysis.′ -Tom Smith, Senior Fellow, NORC, University of Chicago Edited and written by a team of leading international social scientists, this Handbook provides a comprehensive introduction to multivariate methods. The Handbook focuses on regression analysis of cross-sectional and longitudinal data with an emphasis on causal analysis, thereby covering a large number of different techniques including selection models, complex samples, and regression discontinuities. Each Part starts with a non-mathematical introduction to the method covered in that section, giving readers a basic knowledge of the method’s logic, scope and unique features. Next, the mathematical and statistical basis of each method is presented along with advanced aspects. Using real-world data from the European Social Survey (ESS) and the Socio-Economic Panel (GSOEP), the book provides a comprehensive discussion of each method’s application, making this an ideal text for PhD students and researchers embarking on their own data analysis.

Medical Uses of Statistics

Author : John C. Bailar
Publisher : John Wiley & Sons
ISBN 13 : 1118211189
Total Pages : 393 pages
Book Rating : 4.1/5 (182 download)

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Book Synopsis Medical Uses of Statistics by : John C. Bailar

Download or read book Medical Uses of Statistics written by John C. Bailar and published by John Wiley & Sons. This book was released on 2012-01-10 with total page 393 pages. Available in PDF, EPUB and Kindle. Book excerpt: A new edition of the classic guide to the use of statistics in medicine, featuring examples from articles in the New England Journal of Medicine Medical Uses of Statistics has served as one of the most influential works on the subject for physicians, physicians-in-training, and a myriad of healthcare experts who need a clear idea of the proper application of statistical techniques in clinical studies as well as the implications of their interpretation for clinical practice. This Third Edition maintains the focus on the critical ideas, rather than the mechanics, to give practitioners and students the resources they need to understand the statistical methods they encounter in modern medical literature. Bringing together contributions from more than two dozen distinguished statisticians and medical doctors, this volume stresses the underlying concepts in areas such as randomized trials, survival analysis, genetics, linear regression, meta-analysis, and risk analysis. The Third Edition includes: Numerous examples based on studies taken directly from the pages of the New England Journal of Medicine Two added chapters on statistics in genetics Two new chapters on the application of statistical methods to studies in epidemiology New chapters on analyses of randomized trials, linear regression, categorical data analysis, meta-analysis, subgroup analyses, and risk analysis Updated chapters on statistical thinking, crossover designs, p-values, survival analysis, and reporting research results A focus on helping readers to critically interpret published results of clinical research Medical Uses of Statistics, Third Edition is a valuable resource for researchers and physicians working in any health-related field. It is also an excellent supplemental book for courses on medicine, biostatistics, and clinical research at the upper-undergraduate and graduate levels. You can also visit the New England Journal of Medicine website for related information.

Essential Statistical Methods for Medical Statistics

Author : J. Philip Miller
Publisher : Elsevier
ISBN 13 : 0444537384
Total Pages : 363 pages
Book Rating : 4.4/5 (445 download)

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Book Synopsis Essential Statistical Methods for Medical Statistics by : J. Philip Miller

Download or read book Essential Statistical Methods for Medical Statistics written by J. Philip Miller and published by Elsevier. This book was released on 2010-11-08 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Regression Analysis in Medical Research

Author : Ton J. Cleophas
Publisher :
ISBN 13 : 9783030613952
Total Pages : 0 pages
Book Rating : 4.6/5 (139 download)

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Book Synopsis Regression Analysis in Medical Research by : Ton J. Cleophas

Download or read book Regression Analysis in Medical Research written by Ton J. Cleophas and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Regression analysis of cause effect relationships is increasingly the core of medical and health research. This work is a 2nd edition of a 2017 pretty complete textbook and tutorial for students as well as recollection / update bench and help desk for professionals. It came to the authors' attention, that information of history, background, and purposes, of the regression methods addressed were scanty. Lacking information about all of that has now been entirely covered. The editorial art work of the first edition, however pretty, was less appreciated by some readerships, than were the original output sheets from the statistical programs as used. Therefore, the editorial art work has now been systematically replaced with original statistical software tables and graphs for the benefit of an improved usage and understanding of the methods. In the past few years, professionals have been flooded with big data. The Covid-19 pandemic gave cause for statistical software companies to foster novel analytic programs better accounting outliers and skewness. Novel fields of regression analysis adequate for such data, like sparse canonical regressions and quantile regressions, have been included. .

Applications of Regression Models in Epidemiology

Author : Erick Suárez
Publisher : John Wiley & Sons
ISBN 13 : 1119212502
Total Pages : 319 pages
Book Rating : 4.1/5 (192 download)

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Book Synopsis Applications of Regression Models in Epidemiology by : Erick Suárez

Download or read book Applications of Regression Models in Epidemiology written by Erick Suárez and published by John Wiley & Sons. This book was released on 2017-02-13 with total page 319 pages. Available in PDF, EPUB and Kindle. Book excerpt: A one-stop guide for public health students and practitioners learning the applications of classical regression models in epidemiology This book is written for public health professionals and students interested in applying regression models in the field of epidemiology. The academic material is usually covered in public health courses including (i) Applied Regression Analysis, (ii) Advanced Epidemiology, and (iii) Statistical Computing. The book is composed of 13 chapters, including an introduction chapter that covers basic concepts of statistics and probability. Among the topics covered are linear regression model, polynomial regression model, weighted least squares, methods for selecting the best regression equation, and generalized linear models and their applications to different epidemiological study designs. An example is provided in each chapter that applies the theoretical aspects presented in that chapter. In addition, exercises are included and the final chapter is devoted to the solutions of these academic exercises with answers in all of the major statistical software packages, including STATA, SAS, SPSS, and R. It is assumed that readers of this book have a basic course in biostatistics, epidemiology, and introductory calculus. The book will be of interest to anyone looking to understand the statistical fundamentals to support quantitative research in public health. In addition, this book: • Is based on the authors’ course notes from 20 years teaching regression modeling in public health courses • Provides exercises at the end of each chapter • Contains a solutions chapter with answers in STATA, SAS, SPSS, and R • Provides real-world public health applications of the theoretical aspects contained in the chapters Applications of Regression Models in Epidemiology is a reference for graduate students in public health and public health practitioners. ERICK SUÁREZ is a Professor of the Department of Biostatistics and Epidemiology at the University of Puerto Rico School of Public Health. He received a Ph.D. degree in Medical Statistics from the London School of Hygiene and Tropical Medicine. He has 29 years of experience teaching biostatistics. CYNTHIA M. PÉREZ is a Professor of the Department of Biostatistics and Epidemiology at the University of Puerto Rico School of Public Health. She received an M.S. degree in Statistics and a Ph.D. degree in Epidemiology from Purdue University. She has 22 years of experience teaching epidemiology and biostatistics. ROBERTO RIVERA is an Associate Professor at the College of Business at the University of Puerto Rico at Mayaguez. He received a Ph.D. degree in Statistics from the University of California in Santa Barbara. He has more than five years of experience teaching statistics courses at the undergraduate and graduate levels. MELISSA N. MARTÍNEZ is an Account Supervisor at Havas Media International. She holds an MPH in Biostatistics from the University of Puerto Rico and an MSBA from the National University in San Diego, California. For the past seven years, she has been performing analyses for the biomedical research and media advertising fields.

Methods for Meta-Analysis in Medical Research

Author : A. J. Sutton
Publisher : Wiley-Blackwell
ISBN 13 :
Total Pages : 360 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Methods for Meta-Analysis in Medical Research by : A. J. Sutton

Download or read book Methods for Meta-Analysis in Medical Research written by A. J. Sutton and published by Wiley-Blackwell. This book was released on 2000-12-19 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: Major text including chapters on the following: defining outcome measures; assessing heterogeneity; using fixed effects methods and random effects models for combining study estimates; publication bias.