Statistics

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Time Series Modelling with Unobserved Components

Matteo Maria Pelagatti
July 28, 2015

Despite the unobserved components model (UCM) having many advantages over more popular forecasting techniques based on regression analysis, exponential smoothing, and ARIMA, the UCM is not well known among practitioners outside the academic community. Time Series Modelling with Unobserved...

Statistical Analysis of Questionnaires: A Unified Approach Based on R and Stata

Francesco Bartolucci, Silvia Bacci, Michela Gnaldi
July 23, 2015

Statistical Analysis of Questionnaires: A Unified Approach Based on R and Stata presents special statistical methods for analyzing data collected by questionnaires. The book takes an applied approach to testing and measurement tasks, mirroring the growing use of statistical methods and software in...

Statistical Design and Analysis of Clinical Trials: Principles and Methods

Weichung Joe Shih, Joseph Aisner
July 23, 2015

Statistical Design and Analysis of Clinical Trials: Principles and Methods concentrates on the biostatistics component of clinical trials. Developed from the authors’ courses taught to public health and medical students, residents, and fellows during the past 15 years, the text shows how...

Probability and Statistics with R, Second Edition

Maria Dolores Ugarte, Ana F. Militino, Alan T. Arnholt
July 21, 2015

Cohesively Incorporates Statistical Theory with R Implementation Since the publication of the popular first edition of this comprehensive textbook, the contributed R packages on CRAN have increased from around 1,000 to over 6,000. Designed for an intermediate undergraduate course, Probability and...

Statistical Methods for Drug Safety

Robert D. Gibbons, Anup Amatya
July 21, 2015

Explore Important Tools for High-Quality Work in Pharmaceutical Safety Statistical Methods for Drug Safety presents a wide variety of statistical approaches for analyzing pharmacoepidemiologic data. It covers both commonly used techniques, such as proportional reporting ratios for the analysis of...

Exposure–Response Modeling: Methods and Practical Implementation

Jixian Wang
July 17, 2015

Discover the Latest Statistical Approaches for Modeling Exposure-Response Relationships Written by an applied statistician with extensive practical experience in drug development, Exposure-Response Modeling: Methods and Practical Implementation explores a wide range of topics in exposure-response...

Data Analysis with Competing Risks and Intermediate States

Ronald B. Geskus
July 14, 2015

Data Analysis with Competing Risks and Intermediate States explains when and how to use models and techniques for the analysis of competing risks and intermediate states. It covers the most recent insights on estimation techniques and discusses in detail how to interpret the obtained results....

Practical Guide to Logistic Regression

Joseph M. Hilbe
July 09, 2015

Practical Guide to Logistic Regression covers the key points of the basic logistic regression model and illustrates how to use it properly to model a binary response variable. This powerful methodology can be used to analyze data from various fields, including medical and health outcomes research,...

Thirty Years with Stata: A Retrospective

Enrique Pinzon
July 09, 2015

This volume is a sometimes serious and sometimes whimsical retrospective of Stata, its development, and its use over the last 30 years. The view from the inside opens with an essay by Bill Gould, Stata's president and cofounder, that discusses the challenges and concepts that...

Principles of Copula Theory

Fabrizio Durante, Carlo Sempi
July 07, 2015

Principles of Copula Theory explores the state of the art on copulas and provides you with the foundation to use copulas in a variety of applications. Throughout the book, historical remarks and further readings highlight active research in the field, including new results, streamlined...

Power Analysis of Trials with Multilevel Data

Mirjam Moerbeek, Steven Teerenstra
July 07, 2015

Power Analysis of Trials with Multilevel Data covers using power and sample size calculations to design trials that involve nested data structures. The book gives a thorough overview of power analysis that details terminology and notation, outlines key concepts of statistical power and power...

Basics of Matrix Algebra for Statistics with R

Nick Fieller
July 06, 2015

A Thorough Guide to Elementary Matrix Algebra and Implementation in R Basics of Matrix Algebra for Statistics with R provides a guide to elementary matrix algebra sufficient for undertaking specialized courses, such as multivariate data analysis and linear models. It also covers advanced topics,...

Conferences

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