Peter J. Diggle's Books

Analysis of Longitudinal Data

By: Peter Diggle,Patrick Heagerty,Kung-Yee Liang,Scott Zeger

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Analysis of Longitudinal Data

By: Peter Diggle,Patrick Heagerty,Kung-Yee Liang,Scott Zeger

This second edition has been completely revised and expanded to become the most up-to-date and thorough professional reference text in this fast-moving area of biostatistics. It contains an additional two chapters on fully parametric models for discrete repeated measures data and statistical models for time-dependent predictors.

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Page Count

397

Publisher

Oxford University Press, USA

Published Date

ISBN 10

0199676755

ISBN 13

9780199676750

Model-based Geostatistics for Global Public Health

Methods and Applications

By: Peter J. Diggle,Emanuele Giorgi

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Model-based Geostatistics for Global Public Health

Methods and Applications

By: Peter J. Diggle,Emanuele Giorgi

Model-based Geostatistics for Global Public Health: Methods and Applications provides an introductory account of model-based geostatistics, its implementation in open-source software and its application in public health research. In the public health problems that are the focus of this book, the authors describe and explain the pattern of spatial variation in a health outcome or exposure measurement of interest. Model-based geostatistics uses explicit probability models and established principles of statistical inference to address questions of this kind. Features: Presents state-of-the-art methods in model-based geostatistics. Discusses the application these methods some of the most challenging global public health problems including disease mapping, exposure mapping and environmental epidemiology. Describes exploratory methods for analysing geostatistical data, including: diagnostic checking of residuals standard linear and generalized linear models; variogram analysis; Gaussian process models and geostatistical design issues. Includes a range of more complex geostatistical problems where research is ongoing. All of the results in the book are reproducible using publicly available R code and data-sets, as well as a dedicated R package. This book has been written to be accessible not only to statisticians but also to students and researchers in the public health sciences. The Authors Peter Diggle is Distinguished University Professor of Statistics in the Faculty of Health and Medicine, Lancaster University. He also holds honorary positions at the Johns Hopkins University School of Public Health, Columbia University International Research Institute for Climate and Society, and Yale University School of Public Health. His research involves the development of statistical methods for analyzing spatial and longitudinal data and their applications in the biomedical and health sciences. Dr Emanuele Giorgi is a Lecturer in Biostatistics and member of the CHICAS research group at Lancaster University, where he formerly obtained a PhD in Statistics and Epidemiology in 2015. His research interests involve the development of novel geostatistical methods for disease mapping, with a special focus on malaria and other tropical diseases. In 2018, Dr Giorgi was awarded the Royal Statistical Society Research Prize "for outstanding published contribution at the interface of statistics and epidemiology." He is also the lead developer of PrevMap, an R package where all the methodology found in this book has been implemented.

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Page Count

211

Publisher

CRC Press

Published Date

ISBN 10

1351743260

ISBN 13

9781351743266

Statistics and Scientific Method

An Introduction for Students and Researchers

By: Peter J. Diggle,Amanda Chetwynd

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Statistics and Scientific Method

An Introduction for Students and Researchers

By: Peter J. Diggle,Amanda Chetwynd

An antidote to technique-orientated approaches, this text avoids the recipe-book style, giving the reader a clear understanding of how core statistical ideas of experimental design, modelling, and data analysis are integral to the scientific method. No prior knowledge of statistics is required and a range of scientific disciplines are covered.

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192

Publisher

Oxford University Press

Published Date

ISBN 10

0199543186

ISBN 13

9780199543182

The Hellenistic Age

A Short History

By: Peter Green

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The Hellenistic Age

A Short History

By: Peter Green

The Hellenistic Age chronicles the years 336 to 30 BCE, a period that witnessed the overlap of two of antiquity’s great civilizations, the Greek and the Roman. Peter Green’s remarkably far-ranging study covers the prevalent themes and events of those centuries: the Hellenization, by Alexander’s conquests, of an immense swath of the known world; the lengthy and chaotic partition of this empire by rival Macedonian bands; the decline of the city-state as the predominant political institution; and, finally, Rome’s moment of transition from republican to imperial rule. It is a story of war and power-politics, and of the developing fortunes of art, science, and statecraft, spun by an accomplished classicist with an uncanny knack for infusing life into the distant past, and applying fresh insights that make ancient history seem alarmingly relevant to our own times. “Spectacular . . . [filled with] Mr. Green’s critical acumen.” –The Wall Street Journal “Green draws upon a lifetime of scholarship to brilliantly sum up the three-hundred-year Hellenistic age. . . . Happily, this book’s brevity–admirable in itself, and in its concision, elegance, and authority–isn’t achieved at the expense of subtlety and complexity.” –The Atlantic Monthly “An interesting and well-written overview . . . Students of world history are in Green’s debt.” –The Philadelphia Inquirer “Marvelous . . . splendid . . . a brilliant introduction to this crucial transitional period.” –Publishers Weekly (starred review)

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Page Count

242

Publisher

Modern Library

Published Date

ISBN 10

0812967402

ISBN 13

9780812967401

Statistical Analysis of Spatial and Spatio-Temporal Point Patterns, Third Edition

By: Peter J. Diggle

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Statistical Analysis of Spatial and Spatio-Temporal Point Patterns, Third Edition

By: Peter J. Diggle

Written by a prominent statistician and author, the first edition of this bestseller broke new ground in the then emerging subject of spatial statistics with its coverage of spatial point patterns. Retaining all the material from the second edition and adding substantial new material, Statistical Analysis of Spatial and Spatio-Temporal Point Patterns, Third Edition presents models and statistical methods for analyzing spatially referenced point process data. Reflected in the title, this third edition now covers spatio-temporal point patterns. It explores the methodological developments from the last decade along with diverse applications that use spatio-temporally indexed data. Practical examples illustrate how the methods are applied to analyze spatial data in the life sciences. This edition also incorporates the use of R through several packages dedicated to the analysis of spatial point process data. Sample R code and data sets are available on the author’s website.

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Page Count

302

Publisher

CRC Press

Published Date

ISBN 10

1466560231

ISBN 13

9781466560239

Histopathology of Preclinical Toxicity Studies

Interpretation and Relevance in Drug Safety Evaluation

By: Peter Greaves

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Histopathology of Preclinical Toxicity Studies

Interpretation and Relevance in Drug Safety Evaluation

By: Peter Greaves

Chapter 1: Introduction -- Chapter 2: Integumentary System -- -- Skin and subcutaneous tissue -- Chapter 3: Mammary Gland -- Chapter 4: Haemopoietic and Lymphatic Systems -- -- Blood/bone marrow -- -- Lymphoid system -- -- Lymph nodes -- -- Spleen -- -- Thymus -- -- Lymphoreticular neoplasms -- Chapter 5: Musculoskeletal System -- -- Bone -- -- Joints -- -- Skeletal muscle -- Chapter 6: Respiratory Tract -- -- Nose, nasal sinuses, nasopharynx and pharynx -- -- Larynx and trachea -- -- Bronchi and lungs -- Chapter 7: Cardiovascular System -- -- Heart and pericardium -- -- Systemic blood vessels -- -- Pulmonary blood vessels -- Chapter 8: Gastrointestinal tract -- -- Forestomach -- -- Stomach (glandular) -- -- Small intestine -- -- Large intestine -- Chapter 9: Liver and Pancreas -- -- Liver -- -- Bile ducts, biliary system -- -- Pancreas -- Chapter 10: Urinary System -- -- Kidney -- -- Urinary bladder -- Chapter 11: Male Genital Tract -- -- Prostate gland -- -- Epididymis -- -- Testis -- Chapter 12: Female Genital Tract -- -- Vagina -- -- Cervix -- -- Uterus -- -- Ovary -- Chapter 13: Endocrine System -- -- Pituitary gland -- -- Adrenal gland -- -- Thyroid gland -- -- Parathyroid gland -- Chapter 14: Nervous System and Special Sense Organs -- -- Brain -- -- Spinal cord, spinal nerve roots, peripheral nerves -- -- Eye -- -- Ear -- Subject index

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Page Count

893

Publisher

Academic Press

Published Date

ISBN 10

0444538569

ISBN 13

9780444538567

Model-based Geostatistics

By: Peter Diggle,Paulo Justiniano Ribeiro

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Model-based Geostatistics

By: Peter Diggle,Paulo Justiniano Ribeiro

This volume is the first book-length treatment of model-based geostatistics. The text is expository, emphasizing statistical methods and applications rather than the underlying mathematical theory. Analyses of datasets from a range of scientific contexts feature prominently, and simulations are used to illustrate theoretical results. Readers can reproduce most of the computational results in the book by using the authors' software package, geoR, whose usage is illustrated in a computation section at the end of each chapter. The book assumes a working knowledge of classical and Bayesian methods of inference, linear models, and generalized linear models.

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Page Count

242

Publisher

Springer Science & Business Media

Published Date

ISBN 10

0387485368

ISBN 13

9780387485362

Correlated Data Analysis: Modeling, Analytics, and Applications

By: Xue-Kun Song,Peter X. -K. Song

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Correlated Data Analysis: Modeling, Analytics, and Applications

By: Xue-Kun Song,Peter X. -K. Song

This book covers recent developments in correlated data analysis. It utilizes the class of dispersion models as marginal components in the formulation of joint models for correlated data. This enables the book to cover a broader range of data types than the traditional generalized linear models. The reader is provided with a systematic treatment for the topic of estimating functions, and both generalized estimating equations (GEE) and quadratic inference functions (QIF) are studied as special cases. In addition to the discussions on marginal models and mixed-effects models, this book covers new topics on joint regression analysis based on Gaussian copulas.

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Page Count

356

Publisher

Springer Science & Business Media

Published Date

ISBN 10

0387713921

ISBN 13

9780387713922

Book's by Peter J. Diggle

Analysis of Longitudinal Data

Analysis of Longitudinal Data

Model-based Geostatistics for Global Public Health

Model-based Geostatistics for Global Public Health

Statistics and Scientific Method

Statistics and Scientific Method

The Hellenistic Age

The Hellenistic Age

Statistical Analysis of Spatial and Spatio-Temporal Point Patterns, Third Edition

Statistical Analysis of Spatial and Spatio-Temporal Point Patterns, Third Edition

Histopathology of Preclinical Toxicity Studies

Histopathology of Preclinical Toxicity Studies

Model-based Geostatistics

Model-based Geostatistics

Correlated Data Analysis: Modeling, Analytics, and Applications

Correlated Data Analysis: Modeling, Analytics, and Applications

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