Statistics

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Multilevel Modeling Using R

2nd Edition

Featured

W. Holmes Finch, Jocelyn E. Bolin, Ken Kelley
May 21, 2019

Like its bestselling predecessor, Multilevel Modeling Using R, Second Edition provides the reader with a helpful guide to conducting multilevel data modeling using the R software environment. After reviewing standard linear models, the authors present the basics of multilevel models and explain how ...

The Analysis of Time Series: An Introduction with R

7th Edition

Featured

Chris Chatfield, Haipeng Xing
May 9, 2019

This new edition of this classic title, now in its seventh edition, presents a balanced and comprehensive introduction to the theory, implementation, and practice of time series analysis. The book covers a wide range of topics, including ARIMA models, forecasting methods, spectral analysis, linear s...

Spatio-Temporal Statistics with R

1st Edition

Featured

Christopher K. Wikle, Andrew Zammit-Mangion, Noel Cressie
February 18, 2019

The world is becoming increasingly complex, with larger quantities of data available to be analyzed. It so happens that much of these "big data" that are available are spatio-temporal in nature, meaning that they can be indexed by their spatial locations and time stamps. Spatio-Temporal Statistics w...

A Computational Approach to Statistical Learning

1st Edition

Featured

Taylor Arnold, Michael Kane, Bryan W. Lewis
January 29, 2019

A Computational Approach to Statistical Learning gives a novel introduction to predictive modeling by focusing on the algorithmic and numeric motivations behind popular statistical methods. The text contains annotated code to over 80 original reference functions. These functions provide minimal work...

Geocomputation with R

1st Edition

Featured

Robin Lovelace, Jakub Nowosad, Jannes Muenchow
March 25, 2019

Geocomputation with R is for people who want to analyze, visualize and model geographic data with open source software. It is based on R, a statistical programming language that has powerful data processing, visualization, and geospatial capabilities. The book equips you with the knowledge and skill...

Analysis of Incidence Rates

1st Edition

Featured

Peter Cummings
April 15, 2019

Incidence rates are counts divided by person-time; mortality rates are a well-known example. Analysis of Incidence Rates offers a detailed discussion of the practical aspects of analyzing incidence rates. Important pitfalls and areas of controversy are discussed. The text is aimed at graduate studen...

Robust Statistical Methods with R, Second Edition

2nd Edition

Jana Jurečková, Jan Picek, Martin Schindler
May 23, 2019

The second edition of Robust Statistical Methods with R provides a systematic treatment of robust procedures with an emphasis on new developments and on the computational aspects. There are many numerical examples and notes on the R environment, and the updated chapter on the multivariate model...

Mixture Modelling for Medical and Health Sciences

1st Edition

Shu Kay Ng, Liming Xiang, Kelvin Kai Wing Yau
May 21, 2019

Mixture Modelling for Medical and Health Sciences provides a direct connection between theoretical developments in mixture modelling and their applications in real world problems. The book describes the development of the most important concepts through comprehensive analyses of real and practical...

Multilevel Modeling Using R

2nd Edition

W. Holmes Finch, Jocelyn E. Bolin, Ken Kelley
May 21, 2019

Like its bestselling predecessor, Multilevel Modeling Using R, Second Edition provides the reader with a helpful guide to conducting multilevel data modeling using the R software environment. After reviewing standard linear models, the authors present the basics of multilevel models and explain how...

Time Series: A Data Analysis Approach Using R

1st Edition

Robert Shumway, David Stoffer
May 21, 2019

The goals of this text are to develop the skills and an appreciation for the richness and versatility of modern time series analysis as a tool for analyzing dependent data. A useful feature of the presentation is the inclusion of nontrivial data sets illustrating the richness of potential...

The Statistical Analysis of Multivariate Failure Time Data: A Marginal Modeling Approach

1st Edition

Ross L. Prentice, Shanshan Zhao
May 16, 2019

The Statistical Analysis of Multivariate Failure Time Data: A Marginal Modeling Approach provides an innovative look at methods for the analysis of correlated failure times. The focus is on the use of marginal single and marginal double failure hazard rate estimators for the extraction of...

Textbook of Clinical Trials in Oncology: A Statistical Perspective

1st Edition

Susan Halabi, Stefan Michiels
May 16, 2019

There is an increasing need for educational resources for statisticians and investigators. Reflecting this, the goal of this book is to provide readers with a sound foundation in the statistical design, conduct, and analysis of clinical trials. Furthermore, it is intended as a guide for...

Clinical Trial Optimization Using R

1st Edition

Alex Dmitrienko, Erik Pulkstenis
May 12, 2019

Clinical Trial Optimization Using R explores a unified and broadly applicable framework for optimizing decision making and strategy selection in clinical development, through a series of examples and case studies. It provides the clinical researcher with a powerful evaluation paradigm, as well as...

Data and Safety Monitoring Committees in Clinical Trials

2nd Edition

Jay Herson
May 12, 2019

Praise for the first edition: "Given the author’s years of experience as a statistician and as a founder of the first DMC in pharmaceutical industry trials, I highly recommend this book—not only for experts because of its cogent and organized presentation, but more importantly for young...

Cancer Clinical Trials: Current and Controversial Issues in Design and Analysis

1st Edition

Stephen L. George, Xiaofei Wang, Herbert Pang
May 12, 2019

Cancer Clinical Trials: Current and Controversial Issues in Design and Analysis provides statisticians with an understanding of the critical challenges currently encountered in oncology trials. Well-known statisticians from academic institutions, regulatory and government agencies (such as the U.S....

An Introduction to Excel VBA Programming: with Applications in Finance and Insurance

1st Edition

Guojun Gan
May 12, 2019

Excel Visual Basic for Applications (VBA) can be used to automate operations in Excel and is one of the most frequently used software programs for manipulating data and building models in banks and insurance companies. An Introduction to Excel VBA Programming: with Applications in Finance and...

Small Area Estimation and Microsimulation Modeling

1st Edition

Azizur Rahman, Ann Harding
May 12, 2019

Small Area Estimation and Microsimulation Modeling is the first practical handbook that comprehensively presents modern statistical SAE methods in the framework of ultramodern spatial microsimulation modeling while providing the novel approach of creating synthetic spatial microdata. Along with...

The Analysis of Time Series: An Introduction with R

7th Edition

Chris Chatfield, Haipeng Xing
May 09, 2019

This new edition of this classic title, now in its seventh edition, presents a balanced and comprehensive introduction to the theory, implementation, and practice of time series analysis. The book covers a wide range of topics, including ARIMA models, forecasting methods, spectral analysis, linear...

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