Design Of Experiments And Advanced Statistical Techniques In Clinical Research

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Design of Experiments and Advanced Statistical Techniques in Clinical Research

Author : Basavarajaiah D. M.,Bhamidipati Narasimha Murthy
Publisher : Springer Nature
Page : 380 pages
File Size : 47,7 Mb
Release : 2020-11-05
Category : Medical
ISBN : 9789811582103

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Design of Experiments and Advanced Statistical Techniques in Clinical Research by Basavarajaiah D. M.,Bhamidipati Narasimha Murthy Pdf

Recent Statistical techniques are one of the basal evidence for clinical research, a pivotal in handling new clinical research and in evaluating and applying prior research. This book explores various choices of statistical tools and mechanisms, analyses of the associations among different clinical attributes. It uses advanced statistical methods to describe real clinical data sets, when the clinical processes being examined are still in the process. This book also discusses distinct methods for building predictive and probability distribution models in clinical situations and ways to assess the stability of these models and other quantitative conclusions drawn by realistic experimental data sets. Design of experiments and recent posthoc tests have been used in comparing treatment effects and precision of the experimentation. This book also facilitates clinicians towards understanding statistics and enabling them to follow and evaluate the real empirical studies (formulation of randomized control trial) that pledge insight evidence base for clinical practices. This book will be a useful resource for clinicians, postgraduates scholars in medicines, clinical research beginners and academicians to nurture high-level statistical tools with extensive scope.

Statistical Analysis of Designed Experiments, Third Edition

Author : Helge Toutenburg,Shalabh
Publisher : Springer Science & Business Media
Page : 625 pages
File Size : 55,6 Mb
Release : 2009-12-24
Category : Mathematics
ISBN : 9781441911483

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Statistical Analysis of Designed Experiments, Third Edition by Helge Toutenburg,Shalabh Pdf

This book is the third revised and updated English edition of the German textbook \Versuchsplanung und Modellwahl" by Helge Toutenburg which was based on more than 15 years experience of lectures on the course \- sign of Experiments" at the University of Munich and interactions with the statisticians from industries and other areas of applied sciences and en- neering. This is a type of resource/ reference book which contains statistical methods used by researchers in applied areas. Because of the diverse ex- ples combined with software demonstrations it is also useful as a textbook in more advanced courses, The applications of design of experiments have seen a signi?cant growth in the last few decades in di?erent areas like industries, pharmaceutical sciences, medical sciences, engineering sciences etc. The second edition of this book received appreciation from academicians, teachers, students and applied statisticians. As a consequence, Springer-Verlag invited Helge Toutenburg to revise it and he invited Shalabh for the third edition of the book. In our experience with students, statisticians from industries and - searchers from other ?elds of experimental sciences, we realized the importance of several topics in the design of experiments which will - crease the utility of this book. Moreover we experienced that these topics are mostly explained only theoretically in most of the available books.

Medical Statistics And Computer Experiments (2nd Edition)

Author : Fang Ji-qian
Publisher : World Scientific
Page : 1016 pages
File Size : 41,9 Mb
Release : 2014-07-24
Category : Mathematics
ISBN : 9789814566797

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Medical Statistics And Computer Experiments (2nd Edition) by Fang Ji-qian Pdf

This volume consists of three parts: Part I comprises 11 chapters on the basic concepts of statistics, Part II consists of 10 chapters on multivariate statistics and Part III contains 12 chapters on design and analysis for medical research. The book is written using basic concepts and commonly used methods of design and analysis in medical statistics, incorporating the operation of statistical package SAS and 100 computer experiments for the important statistical phenomena related to each chapter. All necessary data, including reference answers for the exercises, SAS programs for all computer experiments and part of the examples, and data documents for 12 medical researches are available. The Chinese version of this book has been recommended as a textbook of statistics for postgraduate program by the Office of Education Research, Ministry of Education, People's Republic of China.

Introduction to Statistical Methods for Clinical Trials

Author : Thomas D. Cook,David L DeMets
Publisher : CRC Press
Page : 465 pages
File Size : 41,6 Mb
Release : 2007-11-19
Category : Mathematics
ISBN : 9781584880271

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Introduction to Statistical Methods for Clinical Trials by Thomas D. Cook,David L DeMets Pdf

Clinical trials have become essential research tools for evaluating the benefits and risks of new interventions for the treatment and prevention of diseases, from cardiovascular disease to cancer to AIDS. Based on the authors’ collective experiences in this field, Introduction to Statistical Methods for Clinical Trials presents various statistical topics relevant to the design, monitoring, and analysis of a clinical trial. After reviewing the history, ethics, protocol, and regulatory issues of clinical trials, the book provides guidelines for formulating primary and secondary questions and translating clinical questions into statistical ones. It examines designs used in clinical trials, presents methods for determining sample size, and introduces constrained randomization procedures. The authors also discuss how various types of data must be collected to answer key questions in a trial. In addition, they explore common analysis methods, describe statistical methods that determine what an emerging trend represents, and present issues that arise in the analysis of data. The book concludes with suggestions for reporting trial results that are consistent with universal guidelines recommended by medical journals. Developed from a course taught at the University of Wisconsin for the past 25 years, this textbook provides a solid understanding of the statistical approaches used in the design, conduct, and analysis of clinical trials.

Statistical Design, Monitoring, and Analysis of Clinical Trials

Author : Weichung Joe Shih,Joseph Aisner
Publisher : CRC Press
Page : 405 pages
File Size : 49,7 Mb
Release : 2021-10-25
Category : Medical
ISBN : 9781000462753

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Statistical Design, Monitoring, and Analysis of Clinical Trials by Weichung Joe Shih,Joseph Aisner Pdf

Statistical Design, Monitoring, and Analysis of Clinical Trials, Second Edition concentrates on the biostatistics component of clinical trials. This new edition is updated throughout and includes five new chapters. Developed from the authors’ courses taught to public health and medical students, residents, and fellows during the past 20 years, the text shows how biostatistics in clinical trials is an integration of many fundamental scientific principles and statistical methods. The book begins with ethical and safety principles, core trial design concepts, the principles and methods of sample size and power calculation, and analysis of covariance and stratified analysis. It then focuses on sequential designs and methods for two-stage Phase II cancer trials to Phase III group sequential trials, covering monitoring safety, futility, and efficacy. The authors also discuss the development of sample size reestimation and adaptive group sequential procedures, phase 2/3 seamless design and trials with predictive biomarkers, exploit multiple testing procedures, and explain the concept of estimand, intercurrent events, and different missing data processes, and describe how to analyze incomplete data by proper multiple imputations. This text reflects the academic research, commercial development, and public health aspects of clinical trials. It gives students and practitioners a multidisciplinary understanding of the concepts and techniques involved in designing, monitoring, and analyzing various types of trials. The book’s balanced set of homework assignments and in-class exercises are appropriate for students and researchers in (bio)statistics, epidemiology, medicine, pharmacy, and public health.

Adaptive Design Methods in Clinical Trials

Author : Shein-Chung Chow,Mark Chang
Publisher : CRC Press
Page : 296 pages
File Size : 44,6 Mb
Release : 2006-11-16
Category : Mathematics
ISBN : 9781584887775

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Adaptive Design Methods in Clinical Trials by Shein-Chung Chow,Mark Chang Pdf

Although adaptive design methods are flexible and useful in clinical research, little or no regulatory guidelines are available. One of the first books on the topic, Adaptive Design Methods in Clinical Trials presents the principles and methodologies in adaptive design and analysis that pertain to adaptations made to trial or statistical procedures

Statistical Principles for the Design of Experiments

Author : R. Mead,S. G. Gilmour,A. Mead
Publisher : Cambridge University Press
Page : 128 pages
File Size : 40,5 Mb
Release : 2012-09-13
Category : Mathematics
ISBN : 9781139576642

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Statistical Principles for the Design of Experiments by R. Mead,S. G. Gilmour,A. Mead Pdf

This book is about the statistical principles behind the design of effective experiments and focuses on the practical needs of applied statisticians and experimenters engaged in design, implementation and analysis. Emphasising the logical principles of statistical design, rather than mathematical calculation, the authors demonstrate how all available information can be used to extract the clearest answers to many questions. The principles are illustrated with a wide range of examples drawn from real experiments in medicine, industry, agriculture and many experimental disciplines. Numerous exercises are given to help the reader practise techniques and to appreciate the difference that good design can make to an experimental research project. Based on Roger Mead's excellent Design of Experiments, this new edition is thoroughly revised and updated to include modern methods relevant to applications in industry, engineering and modern biology. It also contains seven new chapters on contemporary topics, including restricted randomisation and fractional replication.

Medical Uses of Statistics

Author : John C. Bailar III,Frederick Mosteller
Publisher : CRC Press
Page : 490 pages
File Size : 55,8 Mb
Release : 2019-05-20
Category : Mathematics
ISBN : 9780429529603

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Medical Uses of Statistics by John C. Bailar III,Frederick Mosteller Pdf

This work explains the purpose of statistical methods in medical studies and analyzes the statistical techniques used by clinical investigators, with special emphasis on studies published in "The New England Journal of Medicine". It clarifies fundamental concepts of statistical design and analysis, and facilitates the understanding of research results.

Small Clinical Trials

Author : Institute of Medicine,Board on Health Sciences Policy,Committee on Strategies for Small-Number-Participant Clinical Research Trials
Publisher : National Academies Press
Page : 222 pages
File Size : 47,7 Mb
Release : 2001-01-01
Category : Medical
ISBN : 0309171148

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Small Clinical Trials by Institute of Medicine,Board on Health Sciences Policy,Committee on Strategies for Small-Number-Participant Clinical Research Trials Pdf

Clinical trials are used to elucidate the most appropriate preventive, diagnostic, or treatment options for individuals with a given medical condition. Perhaps the most essential feature of a clinical trial is that it aims to use results based on a limited sample of research participants to see if the intervention is safe and effective or if it is comparable to a comparison treatment. Sample size is a crucial component of any clinical trial. A trial with a small number of research participants is more prone to variability and carries a considerable risk of failing to demonstrate the effectiveness of a given intervention when one really is present. This may occur in phase I (safety and pharmacologic profiles), II (pilot efficacy evaluation), and III (extensive assessment of safety and efficacy) trials. Although phase I and II studies may have smaller sample sizes, they usually have adequate statistical power, which is the committee's definition of a "large" trial. Sometimes a trial with eight participants may have adequate statistical power, statistical power being the probability of rejecting the null hypothesis when the hypothesis is false. Small Clinical Trials assesses the current methodologies and the appropriate situations for the conduct of clinical trials with small sample sizes. This report assesses the published literature on various strategies such as (1) meta-analysis to combine disparate information from several studies including Bayesian techniques as in the confidence profile method and (2) other alternatives such as assessing therapeutic results in a single treated population (e.g., astronauts) by sequentially measuring whether the intervention is falling above or below a preestablished probability outcome range and meeting predesigned specifications as opposed to incremental improvement.

Experiment Design and Statistical Methods For Behavioural and Social Research

Author : David R. Boniface
Publisher : Routledge
Page : 276 pages
File Size : 42,8 Mb
Release : 2019-05-20
Category : Mathematics
ISBN : 9781351449298

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Experiment Design and Statistical Methods For Behavioural and Social Research by David R. Boniface Pdf

Experiment Design and Statistical Methods introduces the concepts, principles, and techniques for carrying out a practical research project either in real world settings or laboratories - relevant to studies in psychology, education, life sciences, social sciences, medicine, and occupational and management research. The text covers: repeated measures unbalanced and non-randomized experiments and surveys choice of design adjustment for confounding variables model building and partition of variance covariance multiple regression Experiment Design and Statistical Methods contains a unique extension of the Venn diagram for understanding non-orthogonal design, and it includes exercises for developing the reader's confidence and competence. The book also examines advanced techniques for users of computer packages or data analysis, such as Minitab, SPSS, SAS, SuperANOVA, Statistica, BMPD, SYSTAT, Genstat, and GLIM.

Handbook for Clinical Research

Author : Flora Hammond, MD,James Malec, PhD,Todd Nick,Ralph Buschbacher, MD
Publisher : Demos Medical Publishing
Page : 348 pages
File Size : 53,5 Mb
Release : 2014-08-26
Category : Medical
ISBN : 9781936287543

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Handbook for Clinical Research by Flora Hammond, MD,James Malec, PhD,Todd Nick,Ralph Buschbacher, MD Pdf

The majority of physicians are poorly knowledgeable about statistics and research design, yet are expected to do clinical research and write articles (if in academia) or, at the very least, to read the literature critically and provide evidence-based care to patients. The basic skills involved are touched on very minimally in residency, but not in enough depth for an untrained investigator to successfully design or conduct a study, or analyze research findings in any meaningful way. This volume is intended as a “quick fix”, allowing readers to look up information rapidly about various design types and statistical methods to see what the pros, cons, and indications for each are. Research implementation, including regulatory issues and grant writing, is also covered. The book is unique in physical medicine and rehabilitation, and with the increased emphasis on outcomes measurement and push toward a national agenda for disability research, will appeal both to investigators planning and executing studies and clinicians looking to better understand how the findings impact their practice. A list of topics with an outline of headings for each of the sections is attached.

Design and Analysis of Experiments, Volume 3

Author : Klaus Hinkelmann
Publisher : John Wiley & Sons
Page : 598 pages
File Size : 42,9 Mb
Release : 2012-02-14
Category : Mathematics
ISBN : 9780470530689

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Design and Analysis of Experiments, Volume 3 by Klaus Hinkelmann Pdf

Provides timely applications, modifications, and extensions of experimental designs for a variety of disciplines Design and Analysis of Experiments, Volume 3: Special Designs and Applications continues building upon the philosophical foundations of experimental design by providing important, modern applications of experimental design to the many fields that utilize them. The book also presents optimal and efficient designs for practice and covers key topics in current statistical research. Featuring contributions from leading researchers and academics, the book demonstrates how the presented concepts are used across various fields from genetics and medicinal and pharmaceutical research to manufacturing, engineering, and national security. Each chapter includes an introduction followed by the historical background as well as in-depth procedures that aid in the construction and analysis of the discussed designs. Topical coverage includes: Genetic cross experiments, microarray experiments, and variety trials Clinical trials, group-sequential designs, and adaptive designs Fractional factorial and search, choice, and optimal designs for generalized linear models Computer experiments with applications to homeland security Robust parameter designs and split-plot type response surface designs Analysis of directional data experiments Throughout the book, illustrative and numerical examples utilize SAS®, JMP®, and R software programs to demonstrate the discussed techniques. Related data sets and software applications are available on the book's related FTP site. Design and Analysis of Experiments, Volume 3 is an ideal textbook for graduate courses in experimental design and also serves as a practical, hands-on reference for statisticians and researchers across a wide array of subject areas, including biological sciences, engineering, medicine, and business.

Statistical Methods in Medical Research

Author : Peter Armitage,Geoffrey Berry,J. N. S. Matthews
Publisher : John Wiley & Sons
Page : 832 pages
File Size : 51,7 Mb
Release : 2013-07-01
Category : Medical
ISBN : 9781118702581

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Statistical Methods in Medical Research by Peter Armitage,Geoffrey Berry,J. N. S. Matthews Pdf

The explanation and implementation of statistical methods for themedical researcher or statistician remains an integral part ofmodern medical research. This book explains the use of experimentaland analytical biostatistics systems. Its accessible style allowsit to be used by the non-mathematician as a fundamental componentof successful research. Since the third edition, there have been many developments instatistical techniques. The fourth edition provides the medicalstatistician with an accessible guide to these techniques and toreflect the extent of their usage in medical research. The new edition takes a much more comprehensive approach to itssubject. There has been a radical reorganization of the text toimprove the continuity and cohesion of the presentation and toextend the scope by covering many new ideas now being introducedinto the analysis of medical research data. The authors have triedto maintain the modest level of mathematical exposition thatcharacterized the earlier editions, essentially confining themathematics to the statement of algebraic formulae rather thanpursuing mathematical proofs. Received the Highly Commended Certificate in the PublicHealth Category of the 2002 BMA BooksCompetition.

Statistical Methods For Biomedical Research

Author : Ji-qian Fang
Publisher : World Scientific
Page : 1159 pages
File Size : 41,5 Mb
Release : 2021-03-18
Category : Medical
ISBN : 9789811228889

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Statistical Methods For Biomedical Research by Ji-qian Fang Pdf

This book consists of four parts with 32 chapters adapted for four short courses, from the basic to the advanced levels of medical statistics (biostatistics), ideal for biomedical students. Part 1 is a compulsory course of Basic Statistics with descriptive statistics, parameter estimation and hypothesis test, simple correlation and regression. Part 2 is a selective course on Study Design and Implementation with sampling survey, interventional study, observational study, diagnosis study, data sorting and article writing. Part 3 is a specially curated course of Multivariate Analyses with complex analyses of variance, variety of regressions and classical multivariate analyses. Part 4 is a seminar course on Introduction to Advanced Statistical Methods with meta-analysis, time series, item response theory, structure equation model, multi-level model, bio-informatics, genetic statistics and data mining.The main body of each chapter is followed by five practical sections: Report Writing, Case Discrimination, Computer Experiments, Frequently Asked Questions and Summary, and Practice & Think. Moreover, there are 2 attached Appendices, Appendix A includes Introductions to SPSS, Excel and R respectively, and Appendix B includes all the programs, data and printouts for Computer Experiments in addition to the Tests for Review and the reference answers for Case Discrimination as well as Practice & Think..This book can be used as a textbook for biomedical students at both under- and postgraduate levels. It can also serve as an important guide for researchers, professionals and officers in the biomedical field.

Experimental Design

Author : J. Krauth
Publisher : Elsevier
Page : 297 pages
File Size : 45,6 Mb
Release : 2000-12-11
Category : Education
ISBN : 9780444506375

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Experimental Design by J. Krauth Pdf

Scientists planning experiments in medical and behavioral research will find this handbook and dictionary an invaluable desk reference tool. Also recommended as a textbook for students of Experimental Design or accompanying courses in Statistics. Principles of experimental design are introduced, techniques of experimental design are described, and advantages and disadvantages of often used designs are discussed. This two-part volume, a handbook of experimental design and a dictionary providing short explanations for many terms related to experimental design, contains information that will not quickly become outdated.