Incorporating the latest information on developments in the field of statistical inference, this book looks at various approaches to point estimation, hypotheses testing, interval estimation and model building. Intended to be a handbook, it concentrates on ideas (rather than comprehensive theorem-proving), and contains many exercises. Although it is written at a fairly advanced level, the book employs only the necessary mathematics for a full understanding of the text. Topics covered include a discussion on the properties of estimators and methods of estimation, hypotheses testing and interval estimation. Both the classical and decision theory/Bayesian approaches are covered. Other topics which are described more briefly include, amongst others, robust and non-parametric procedures, computationally intensive methods and generalized linear models.

Statistical Inference

Science & Math

Jones, Byron

Jolliffe, I.T.

Garthwaite, Paul H.

Mathematics

PRENTICE/HALL

Adopting a broad view of statistical inference, the text concentrates on what various techniques do, with mathematical proof kept to a minimum. The approach is rigorous but accessible to final year undergraduates. Classical approaches to point estimation, hypothesis testing and interval estimation are all covered thoroughly with recent developments outlined. Separate chapters are devoted to Bayesian inference, to decision theory and to non-parametric and robust inference. The increasingly important topics of computationally intensive methods and generalized linear models are also included. In this edition, the material on recent developments has been updated, and additional exercises are included in most chapters.

Statistical Inference (Oxford Science Publications)

Garthwaite, Paul

Jolliffe, Ian

Oxford University Press

Bioequivalence and Statistics in Clinical Pharmacology (Chapman & Hall/CRC Biostatistics Series)

Maintaining a practical perspective, Bioequivalence and Statistics in Clinical Pharmacology, Second Edition explores statistics used in day-to-day clinical pharmacology work. The book is a starting point for those involved in such research and covers the methods needed to design, analyze, and interpret bioequivalence trials; explores when, how, and why these studies are performed as part of drug development; and demonstrates the methods using real world examples.\nDrawing on knowledge gained directly from working in the pharmaceutical industry, the authors set the stage by describing the general role of statistics. Once the foundation of clinical pharmacology drug development, regulatory applications, and the design and analysis of bioequivalence trials are established, including recent regulatory changes in design and analysis and in particular sample-size adaptation, they move on to related topics in clinical pharmacology involving the use of cross-over designs. These include, but are not limited to, safety studies in Phase I, dose-response trials, drug interaction trials, food-effect and combination trials, QTc and other pharmacodynamic equivalence trials, proof-of-concept trials, dose-proportionality trials, and vaccines trials.\nThis second edition addresses several recent developments in the field, including new chapters on adaptive bioequivalence studies, scaled average bioequivalence testing, and vaccine trials.\nPurposefully designed to be instantly applicable, Bioequivalence and Statistics in Clinical Pharmacology, Second Edition provides examples of SAS and R code so that the analyses described can be immediately implemented. The authors have made extensive use of the proc mixed procedures available in SAS.

Patterson, Scott D.

Biological Sciences

Routledge

Completely revised and updated, the second edition of this classic text retains its predecessor's careful balance of theory and practice while incorporating new approaches, more data sets, and a broader scope. Enhancements in this edition include a new chapter on bioequivalence, methods for analyzing longitudinal continuous and categorical data, extensive real-life examples, and SAS code that allows readers to implement the analyses described. With downloadable SAS programs, thorough treatment of design issues, and a comprehensive catalog of designs, this edition sets a new standard for texts in this area and will undoubtedly be of direct practical value for years to come.

Design and Analysis of Cross-Over Trials (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)

Kenward, Michael G.

Chapman and Hall/CRC

The first edition of Design and Analysis of Cross-Over Trials quickly became the standard reference on the subject and has remained so for more than 12 years. In that time, however, the use of cross-over trials has grown rapidly, particularly in the pharmaceutical arena, and researchers have made a number of advances in both the theory and methods applicable to these trials. Completely revised and updated, the long-awaited second edition of this classic text retains its predecessor's careful balance of theory and practice while incorporating new approaches, more data sets, and a broader scope. Enhancements in the second edition include: <ul>
<li>A new chapter on bioequivalence</li> <li>Recently developed methods for analyzing longitudinal continuous and categorical data</li> <li>Real-world examples using the SAS system</li> <li>A comprehensive catalog of designs, datasets, and SAS programs available on a companion Web site at www.crcpress.com</li> </ul> The authors' exposition gives a clear, unified account of the design and analysis of cross-over trials from a statistical perspective along with their methodological underpinnings. With SAS programs and a thorough treatment of design issues, Design and Analysis of Cross-Over Trials, Second Edition sets a new standard for texts in this area and undoubtedly will be of direct practical value for years to come.

Design and Analysis of Cross-Over Trials is concerned with a specific kind of comparative trial known as the cross-over trial, in which subjects receive different sequences of treatments. Such trials are widely used in clinical and medical research, and in other diverse areas such as veterinary science, psychology, sports science, and agriculture. The first edition of this book was the first to be wholly devoted to the subject. The second edition was revised to mirror growth and development in areas where the design remained in widespread use and new areas where it had grown in importance. This new Third Edition: <ul>
<li>Contains seven new chapters written in the form of short case studies that address re-estimating sample size when testing for average bioequivalence, fitting a nonlinear dose response function, estimating a dose to take forward from phase two to phase three, establishing proof of concept, and recalculating the sample size using conditional power</li> <li>Employs the R package Crossover, speciallycreated to accompany the book and provide a graphical user interface for locating designs in a large catalog and for searching for new designs</li> <li>Includes updates regarding the use of period baselines and the analysis of data from very small trials</li> <li>Reflects the availability of new procedures in SAS, particularly proc glimmix </li> <li>Presents the SAS procedure proc mcmc as an alternative to WinBUGS for Bayesian analysis</li> </ul>
Complete with real data and downloadable SAS code, Design and Analysis of Cross-Over Trials, Third Edition provides a practical understanding of the latest methods along with the necessary tools for implementation.

Design and Analysis of Cross-Over Trials (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Maintaining a practical perspective, Bioequivalence and Statistics in Clinical Pharmacology, Second Edition explores statistics used in day-to-day clinical pharmacology work. The book is a starting point for those involved in such research and covers the methods needed to design, analyze, and interpret bioequivalence trials; explores when, how, and why these studies are performed as part of drug development; and demonstrates the methods using real world examples. Drawing on knowledge gained directly from working in the pharmaceutical industry, the authors set the stage by describing the general role of statistics. Once the foundation of clinical pharmacology drug development, regulatory applications, and the design and analysis of bioequivalence trials are established, including recent regulatory changes in design and analysis and in particular sample-size adaptation, they move on to related topics in clinical pharmacology involving the use of cross-over designs. These include, but are not limited to, safety studies in Phase I, dose-response trials, drug interaction trials, food-effect and combination trials, QTc and other pharmacodynamic equivalence trials, proof-of-concept trials, dose-proportionality trials, and vaccines trials. This second edition addresses several recent developments in the field, including new chapters on adaptive bioequivalence studies, scaled average bioequivalence testing, and vaccine trials. Purposefully designed to be instantly applicable, Bioequivalence and Statistics in Clinical Pharmacology, Second Edition provides examples of SAS and R code so that the analyses described can be immediately implemented. The authors have made extensive use of the proc mixed procedures available in SAS.

Maintaining a practical perspective, Bioequivalence and Statistics in Clinical Pharmacology explores statistics used in day-to-day clinical pharmacology work. The book covers the methods needed to design, analyze, and interpret bioequivalence trials; explores when, how, and why these studies are performed as part of drug development; and demonstrates the proposed methods using real world examples. Drawing on knowledge gained directly from working in the pharmaceutical industry, the authors set the stage by describing the general role of statistics. Once the foundation of clinical pharmacology drug development, regulatory applications, and the design and analysis of bioequivalence trials are established, they move on to related topics in clinical pharmacology involving the use of cross-over designs. These include, but are not limited to, safety studies in Phase I, dose-response trials, drug interaction trials, food-effect and combination trials, QTc and other pharmacodynamic equivalence trials, and dose-proportionality trials. Purposefully designed to be instantly applicable, the book provides examples of SAS code so that the analysis described can be immediately implemented. The authors have made extensive use of the proc mixed procedures available in SAS. Each chapter includes a vignette based on co-author Scott Patterson's experience in the clinical pharmacology work place and all the data sets are taken from real trials. The authors delineate practical utility and objectives, provide real-world examples of the topic under discussion, and include statistical theory and applications. Technical theory, where extensive, is included in technical appendices at the end of the chapter. Each topic contains worked examples that illustrate the applications of the statistical techniques and their interpretation. The authors also develop statistical tools useful for other topics of clinical pharmacology - namely general safety testing, testing for proarrythmic potential, population pharmacokinetics, and dose-selection.

Originally published in 1986, this book consists of 100 problems in probability and statistics, together with solutions and, most importantly, extensive notes on the solutions. The level of sophistication of the problems is similar to that encountered in many introductory courses in probability and statistics. At this level, straightforward solutions to the problems are of limited value unless they contain informed discussion of the choice of technique used, and possible alternatives. The solutions in the book are therefore elaborated with extensive notes which add value to the solutions themselves. The notes enable the reader to discover relationships between various statistical techniques, and provide the confidence needed to tackle new problems.

STATISTICS: PROBLEMS AND SOLUTION (SECOND EDITION)

Morgan, Byron J.T.

Bassett, Eryl E

Bremner, J Mike

Jolliffe, Ian T

North, P. M.

World Scientific Publishing Company

See the best price to sell, buy, or rent books by Jones, Byron. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Jones, Byron

See the best price to sell, buy, or rent books by Jones, Byron. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Statistical Inference

Statistical Inference (Oxford Science Publications)

Bioequivalence and Statistics in Clinical Pharmacology (Chapman & Hall/CRC Biostatistics Series)

Design and Analysis of Cross-Over Trials (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)

Design and Analysis of Cross-Over Trials (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)

Design and Analysis of Cross-Over Trials (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Bioequivalence and Statistics in Clinical Pharmacology (Chapman & Hall/CRC Biostatistics Series)

Bioequivalence and Statistics in Clinical Pharmacology (Chapman & Hall/CRC Biostatistics Series)

STATISTICS: PROBLEMS AND SOLUTION (SECOND EDITION)