Proceedings of the Second Seattle Symposium in Biostatistics
Proceedings of the Second Seattle Symposium in Biostatistics

Author: Danyu Lin

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 332

ISBN-13: 1441990763

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This volume contains a selection of papers presented at the Second Seattle Symposium in Biostatistics: Analysis of Correlated Data. The symposium was held in 2000 to celebrate the 30th anniversary of the University of Washington School of Public Health and Community Medicine. It featured keynote lectures by Norman Breslow, David Cox and Ross Prentice and 16 invited presentations by other prominent researchers. The papers contained in this volume encompass recent methodological advances in several important areas, such as longitudinal data, multivariate failure time data and genetic data, as well as innovative applications of the existing theory and methods. This volume is a valuable reference for researchers and practitioners in the field of correlated data analysis.

Dependence in Probability and Statistics
Dependence in Probability and Statistics

Author: Paul Doukhan

Publisher: Springer Science & Business Media

Published: 2010-07-23

Total Pages: 222

ISBN-13: 3642141048

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This account of recent works on weakly dependent, long memory and multifractal processes introduces new dependence measures for studying complex stochastic systems and includes other topics such as the dependence structure of max-stable processes.

Causality
Causality

Author: Carlo Berzuini

Publisher: John Wiley & Sons

Published: 2012-06-04

Total Pages: 387

ISBN-13: 1119941733

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A state of the art volume on statistical causality Causality: Statistical Perspectives and Applications presents a wide-ranging collection of seminal contributions by renowned experts in the field, providing a thorough treatment of all aspects of statistical causality. It covers the various formalisms in current use, methods for applying them to specific problems, and the special requirements of a range of examples from medicine, biology and economics to political science. This book: Provides a clear account and comparison of formal languages, concepts and models for statistical causality. Addresses examples from medicine, biology, economics and political science to aid the reader's understanding. Is authored by leading experts in their field. Is written in an accessible style. Postgraduates, professional statisticians and researchers in academia and industry will benefit from this book.

Ecological Statistics
Ecological Statistics

Author: Gordon A. Fox

Publisher: Oxford University Press

Published: 2015

Total Pages: 407

ISBN-13: 0199672547

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The application and interpretation of statistics are central to ecological study and practice. Ecologists are now asking more sophisticated questions than in the past. These new questions, together with the continued growth of computing power and the availability of new software, have created a new generation of statistical techniques. These have resulted in major recent developments in both our understanding and practice of ecological statistics. This novel book synthesizes a number of these changes, addressing key approaches and issues that tend to be overlooked in other books such as missing/censored data, correlation structure of data, heterogeneous data, and complex causal relationships. These issues characterize a large proportion of ecological data, but most ecologists' training in traditional statistics simply does not provide them with adequate preparation to handle the associated challenges. Uniquely, Ecological Statistics highlights the underlying links among many statistical approaches that attempt to tackle these issues. In particular, it gives readers an introduction to approaches to inference, likelihoods, generalized linear (mixed) models, spatially or phylogenetically-structured data, and data synthesis, with a strong emphasis on conceptual understanding and subsequent application to data analysis. Written by a team of practicing ecologists, mathematical explanations have been kept to the minimum necessary. This user-friendly textbook will be suitable for graduate students, researchers, and practitioners in the fields of ecology, evolution, environmental studies, and computational biology who are interested in updating their statistical tool kits. A companion web site provides example data sets and commented code in the R language.

Series Approximation Methods in Statistics
Series Approximation Methods in Statistics

Author: John E. Kolassa

Publisher: Springer Science & Business Media

Published: 2006-09-23

Total Pages: 228

ISBN-13: 0387322272

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This revised book presents theoretical results relevant to Edgeworth and saddlepoint expansions to densities and distribution functions. It provides examples of their application in some simple and a few complicated settings, along with numerical, as well as asymptotic, assessments of their accuracy. Variants on these expansions, including much of modern likelihood theory, are discussed and applications to lattice distributions are extensively treated.

Reproductive and Perinatal Epidemiology
Reproductive and Perinatal Epidemiology

Author: Statistics Germaine M. Buck Louis Director and Senior Investigator of the Division of Epidemiology, and Prevention Research (DESPR) Eunice Kennedy Shriver National Institute of Child Health & Human Development (NICHD) National Institutes of Health (NIH)

Publisher: Oxford University Press, USA

Published: 2011-03-23

Total Pages: 356

ISBN-13: 0199857741

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Population growth and global health disparities for many reproductive and perinatal outcomes are but a few of the pressing issues facing public health today. Despite growing interest in the field, formal training in reproductive and perinatal epidemiology remains limited, with few available textbooks aimed at providing an overview of the field. In response to this need, faculty from the Eunice Kennedy Shriver National Institute of Child Health & Human Development (NICHD) and CIHR's Institute of Human Development, Child and Youth Health (IHDCYH) developed an intensive, competitive, Summer Institute in Reproductive and Perinatal Epidemiology. The curriculum of this Summer Institute has been developed into a textbook to provide students and researchers with a working knowledge of the substantive and methodologic issues underlying reproductive and perinatal epidemiology. Reproductive and Perinatal Epidemiology offers a core curriculum that addresses the epidemiology of major reproductive and perinatal outcomes. From human fecundity to birth and neonatal outcomes, the subject is approached from as international a perspective as possible, and the unique methodologic issues underlying each outcome are discussed. Developed by leading researchers in collaboration with their students in response to their needs and concerns, this is the definitive textbook on the subject.

Multivariate Nonparametric Methods with R
Multivariate Nonparametric Methods with R

Author: Hannu Oja

Publisher: Springer Science & Business Media

Published: 2010-03-25

Total Pages: 239

ISBN-13: 1441904689

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This book offers a new, fairly efficient, and robust alternative to analyzing multivariate data. The analysis of data based on multivariate spatial signs and ranks proceeds very much as does a traditional multivariate analysis relying on the assumption of multivariate normality; the regular L2 norm is just replaced by different L1 norms, observation vectors are replaced by spatial signs and ranks, and so on. A unified methodology starting with the simple one-sample multivariate location problem and proceeding to the general multivariate multiple linear regression case is presented. Companion estimates and tests for scatter matrices are considered as well. The R package MNM is available for computation of the procedures. This monograph provides an up-to-date overview of the theory of multivariate nonparametric methods based on spatial signs and ranks. The classical book by Puri and Sen (1971) uses marginal signs and ranks and different type of L1 norm. The book may serve as a textbook and a general reference for the latest developments in the area. Readers are assumed to have a good knowledge of basic statistical theory as well as matrix theory. Hannu Oja is an academy professor and a professor in biometry in the University of Tampere. He has authored and coauthored numerous research articles in multivariate nonparametrical and robust methods as well as in biostatistics.

Applied Longitudinal Analysis
Applied Longitudinal Analysis

Author: Garrett M. Fitzmaurice

Publisher: John Wiley & Sons

Published: 2012-10-23

Total Pages: 758

ISBN-13: 1118551796

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Praise for the First Edition ". . . [this book] should be on the shelf of everyone interested in . . . longitudinal data analysis." —Journal of the American Statistical Association Features newly developed topics and applications of the analysis of longitudinal data Applied Longitudinal Analysis, Second Edition presents modern methods for analyzing data from longitudinal studies and now features the latest state-of-the-art techniques. The book emphasizes practical, rather than theoretical, aspects of methods for the analysis of diverse types of longitudinal data that can be applied across various fields of study, from the health and medical sciences to the social and behavioral sciences. The authors incorporate their extensive academic and research experience along with various updates that have been made in response to reader feedback. The Second Edition features six newly added chapters that explore topics currently evolving in the field, including: Fixed effects and mixed effects models Marginal models and generalized estimating equations Approximate methods for generalized linear mixed effects models Multiple imputation and inverse probability weighted methods Smoothing methods for longitudinal data Sample size and power Each chapter presents methods in the setting of applications to data sets drawn from the health sciences. New problem sets have been added to many chapters, and a related website features sample programs and computer output using SAS, Stata, and R, as well as data sets and supplemental slides to facilitate a complete understanding of the material. With its strong emphasis on multidisciplinary applications and the interpretation of results, Applied Longitudinal Analysis, Second Edition is an excellent book for courses on statistics in the health and medical sciences at the upper-undergraduate and graduate levels. The book also serves as a valuable reference for researchers and professionals in the medical, public health, and pharmaceutical fields as well as those in social and behavioral sciences who would like to learn more about analyzing longitudinal data.