New Frontiers of Biostatistics and Bioinformatics


Author: Yichuan Zhao,Ding-Geng Chen
Publisher: Springer
ISBN: 3319993895
Category: Mathematics
Page: 463
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This book is comprised of presentations delivered at the 5th Workshop on Biostatistics and Bioinformatics held in Atlanta on May 5-7, 2017. Featuring twenty-two selected papers from the workshop, this book showcases the most current advances in the field, presenting new methods, theories, and case applications at the frontiers of biostatistics, bioinformatics, and interdisciplinary areas. Biostatistics and bioinformatics have been playing a key role in statistics and other scientific research fields in recent years. The goal of the 5th Workshop on Biostatistics and Bioinformatics was to stimulate research, foster interaction among researchers in field, and offer opportunities for learning and facilitating research collaborations in the era of big data. The resulting volume offers timely insights for researchers, students, and industry practitioners.

Empirical Likelihood


Author: Art B. Owen
Publisher: CRC Press
ISBN: 1420036157
Category: Mathematics
Page: 304
View: 9530

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Empirical likelihood provides inferences whose validity does not depend on specifying a parametric model for the data. Because it uses a likelihood, the method has certain inherent advantages over resampling methods: it uses the data to determine the shape of the confidence regions, and it makes it easy to combined data from multiple sources. It also facilitates incorporating side information, and it simplifies accounting for censored, truncated, or biased sampling. One of the first books published on the subject, Empirical Likelihood offers an in-depth treatment of this method for constructing confidence regions and testing hypotheses. The author applies empirical likelihood to a range of problems, from those as simple as setting a confidence region for a univariate mean under IID sampling, to problems defined through smooth functions of means, regression models, generalized linear models, estimating equations, or kernel smooths, and to sampling with non-identically distributed data. Abundant figures offer visual reinforcement of the concepts and techniques. Examples from a variety of disciplines and detailed descriptions of algorithms-also posted on a companion Web site at-illustrate the methods in practice. Exercises help readers to understand and apply the methods. The method of empirical likelihood is now attracting serious attention from researchers in econometrics and biostatistics, as well as from statisticians. This book is your opportunity to explore its foundations, its advantages, and its application to a myriad of practical problems.

Strength in Numbers: The Rising of Academic Statistics Departments in the U. S.


Author: Alan Agresti,Xiao-Li Meng
Publisher: Springer Science & Business Media
ISBN: 1461436494
Category: Mathematics
Page: 564
View: 4030

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Statistical science as organized in formal academic departments is relatively new. With a few exceptions, most Statistics and Biostatistics departments have been created within the past 60 years. This book consists of a set of memoirs, one for each department in the U.S. created by the mid-1960s. The memoirs describe key aspects of the department’s history -- its founding, its growth, key people in its development, success stories (such as major research accomplishments) and the occasional failure story, PhD graduates who have had a significant impact, its impact on statistical education, and a summary of where the department stands today and its vision for the future. Read here all about how departments such as at Berkeley, Chicago, Harvard, and Stanford started and how they got to where they are today. The book should also be of interests to scholars in the field of disciplinary history.

Frontiers in Statistics

Dedicated to Peter John Bickel in Honor of His 65th Birthday
Author: Jianqing Fan,Hira L. Koul
Publisher: Imperial College Press
ISBN: 186094888X
Category: Mathematics
Page: 523
View: 3698

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During the last two decades, many areas of statistical inference have experienced phenomenal growth. This book presents a timely analysis and overview of some of these new developments and a contemporary outlook on the various frontiers of statistics.Eminent leaders in the field have contributed 16 review articles and 6 research articles covering areas including semi-parametric models, data analytical nonparametric methods, statistical learning, network tomography, longitudinal data analysis, financial econometrics, time series, bootstrap and other re-sampling methodologies, statistical computing, generalized nonlinear regression and mixed effects models, martingale transform tests for model diagnostics, robust multivariate analysis, single index models and wavelets.This volume is dedicated to Prof. Peter J Bickel in honor of his 65th birthday. The first article of this volume summarizes some of Prof. Bickel''s distinguished contributions.

The Oxford Handbook of Panel Data


Author: Badi H. Baltagi
Publisher: Oxford University Press
ISBN: 0190210826
Category: Social Science
Page: 512
View: 5860

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The Oxford Handbook of Panel Data examines new developments in the theory and applications of panel data. It includes basic topics like non-stationary panels, co-integration in panels, multifactor panel models, panel unit roots, measurement error in panels, incidental parameters and dynamic panels, spatial panels, nonparametric panel data, random coefficients, treatment effects, sample selection, count panel data, limited dependent variable panel models, unbalanced panel models with interactive effects and influential observations in panel data. Contributors to the Handbook explore applications of panel data to a wide range of topics in economics, including health, labor, marketing, trade, productivity, and macro applications in panels. This Handbook is an informative and comprehensive guide for both those who are relatively new to the field and for those wishing to extend their knowledge to the frontier. It is a trusted and definitive source on panel data, having been edited by Professor Badi Baltagi-widely recognized as one of the foremost econometricians in the area of panel data econometrics. Professor Baltagi has successfully recruited an all-star cast of experts for each of the well-chosen topics in the Handbook.

Statistical Inference and Simulation for Spatial Point Processes


Author: Jesper Moller,Rasmus Plenge Waagepetersen
Publisher: CRC Press
ISBN: 9780203496930
Category: Mathematics
Page: 320
View: 1188

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Spatial point processes play a fundamental role in spatial statistics and today they are an active area of research with many new applications. Although other published works address different aspects of spatial point processes, most of the classical literature deals only with nonparametric methods, and a thorough treatment of the theory and applications of simulation-based inference is difficult to find. Written by researchers at the top of the field, this book collects and unifies recent theoretical advances and examples of applications. The authors examine Markov chain Monte Carlo algorithms and explore one of the most important recent developments in MCMC: perfect simulation procedures.

Analysis of Binary Data, Second Edition


Author: D.R. Cox,E. J. Snell
Publisher: CRC Press
ISBN: 9780412306204
Category: Mathematics
Page: 240
View: 6531

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The first edition of this book (1970) set out a systematic basis for the analysis of binary data and in particular for the study of how the probability of 'success' depends on explanatory variables. The first edition has been widely used and the general level and style have been preserved in the second edition, which contains a substantial amount of new material. This amplifies matters dealt with only cryptically in the first edition and includes many more recent developments. In addition the whole material has been reorganized, in particular to put more emphasis on m.aximum likelihood methods. There are nearly 60 further results and exercises. The main points are illustrated by practical examples, many of them not in the first edition, and some general essential background material is set out in new Appendices.

Handbook of Complementary Methods in Education Research


Author: Judith L. Green,Gregory Camilli,Patricia B. Elmore,Audra Skukauskaite,Elizabeth Grace
Publisher: Routledge
ISBN: N.A
Category: Education
Page: 865
View: 1935

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Published for the American Educational Research Association by Routledge. The Handbook of Complementary Methods in Education Research is a successor volume to AERA's earlier and highly acclaimed editions of Complementary Methods for Research in Education. More than any book to date (including its predecessors), this new volume brings together the wide range of research methods used to study education and makes the logic of inquiry for each method clear and accessible. Each method is described in detail, including its history, its research design, the questions that it addresses, ways of using the method, and ways of analyzing and reporting outcomes. Key features of this indispensable book include the following: Foundations Section-Part I is unique among research books. Its three chapters examine common philosophical, epistemological, and ethical issues facing researchers from all traditions, and frames ways of understanding the similarities and differences among traditions. Together they provide a tripartite lens through which to view and compare all research methods. Comprehensive Coverage-Part II (the heart of the book) presents 35 chapters on research design and analysis. Each chapter includes a brief historical overview of the research tradition, examines the questions that it addresses, and presents an example of how the approach can be used. Programs of Research-Part III examines how research programs connected to eight specific lines of inquiry have evolved over time. These chapters examine phenomena such as classroom interaction; language research; issues of race, culture, and difference; policy analysis; program evaluation; student learning; and teacher education. Complementary Methods-As the title suggests, a central mission of this book is to explore the compatibility of different research methods. Which methods can be productively brought together and for what purposes? How and on what scale can they be made compatible and what phenomena are they best suited to explore? Flexibility-The chapters in Parts II and III are largely independent. Therefore, selected portions of the book can be used in courses devoted to specific research methods and perspectives or to particular areas of education. Likewise, established researchers interested in acquiring new techniques or greater expertise in a given methodology will find this an indispensable reference volume. This handbook is appropriate for any of the following audiences: faculty teaching and graduate students studying education research, education researchers and other scholars seeking an accessible overview of state-of-the-art knowledge about specific methods, policy analysts and other professionals needing to better understand research methods, and academic and research libraries serving these audiences.

An Introduction to the Bootstrap


Author: Bradley Efron,R.J. Tibshirani
Publisher: CRC Press
ISBN: 9780412042317
Category: Mathematics
Page: 456
View: 4030

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Statistics is a subject of many uses and surprisingly few effective practitioners. The traditional road to statistical knowledge is blocked, for most, by a formidable wall of mathematics. The approach in An Introduction to the Bootstrap avoids that wall. It arms scientists and engineers, as well as statisticians, with the computational techniques they need to analyze and understand complicated data sets.

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


Author: Peter J. Diggle
Publisher: CRC Press
ISBN: 146656024X
Category: Mathematics
Page: 268
View: 7312

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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.

Multivariate Dependencies

Models, Analysis and Interpretation
Author: D.R. Cox,Nanny Wermuth
Publisher: CRC Press
ISBN: 9780412754104
Category: Mathematics
Page: 272
View: 7675

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Large observational studies involving research questions that require the measurement of several features on each individual arise in many fields including the social and medical sciences. This book sets out both the general concepts and the more technical statistical issues involved in analysis and interpretation. Numerous illustrative examples are described in outline and four studies are discussed in some detail. The use of graphical representations of dependencies and independencies among the features under study is stressed, both to incorporate available knowledge at the planning stage of an analysis and to summarize aspects important for interpretation after detailed statistical analysis is complete. This book is aimed at research workers using statistical methods as well as statisticians involved in empirical research.

Bayesian Methods for Finite Population Sampling


Author: Malay Ghosh,Glen Meeden
Publisher: CRC Press
ISBN: 9780412987717
Category: Mathematics
Page: 296
View: 4822

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Assuming a basic knowledge of the frequentist approach to finite population sampling, Bayesian Methods for Finite Population Sampling describes Bayesian and predictive approaches to inferential problems with an emphasis on the likelihood principle. The authors demonstrate that a variety of levels of prior information can be used in survey sampling in a Bayesian manner. Situations considered range from a noninformative Bayesian justification of standard frequentist methods when the only prior information available is the belief in the exchangeability of the units to a full-fledged Bayesian model. Intended primarily for graduate students and researchers in finite population sampling, this book will also be of interest to statisticians who use sampling and lecturers and researchers in general statistics and biostatistics.

Nonlinear Models for Repeated Measurement Data


Author: Marie Davidian,David .M. Giltinan
Publisher: CRC Press
ISBN: 9780412983412
Category: Mathematics
Page: 360
View: 352

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Nonlinear measurement data arise in a wide variety of biological and biomedical applications, such as longitudinal clinical trials, studies of drug kinetics and growth, and the analysis of assay and laboratory data. Nonlinear Models for Repeated Measurement Data provides the first unified development of methods and models for data of this type, with a detailed treatment of inference for the nonlinear mixed effects and its extensions. A particular strength of the book is the inclusion of several detailed case studies from the areas of population pharmacokinetics and pharmacodynamics, immunoassay and bioassay development and the analysis of growth curves.