Biostatistics and Epidemiology

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Handbook of Quantile Regression


Roger Koenker, Victor Chernozhukov, Xuming He, Limin Peng
October 25, 2017

Quantile regression constitutes an ensemble of statistical techniques intended to estimate and draw inferences about conditional quantile functions. Median regression, as introduced in the 18th century by Boscovich and Laplace, is a special case. In contrast to conventional mean regression that mini...

Adaptive Survey Design


Barry Schouten, Andy Peytchev, James Wagner
August 4, 2017

Adaptive survey designs (ASDs) provide a framework for data-driven tailoring of data collection procedures to different sample members, often for cost and bias reduction. People vary in how likely they are to respond and in how they respond. This variation leads to opportunities to selectively deplo...

Methods in Comparative Effectiveness Research


Constantine Gatsonis, Sally C. Morton
February 7, 2017

Comparative effectiveness research (CER) is the generation and synthesis of evidence that compares the benefits and harms of alternative methods to prevent, diagnose, treat, and monitor a clinical condition or to improve the delivery of care (IOM 2009). CER is conducted to develop evidence that will...

Handbook of Methods for Designing, Monitoring, and Analyzing Dose-Finding Trials


John O'Quigley, Alexia Iasonos, Björn Bornkamp
April 26, 2017

Handbook of Methods for Designing, Monitoring, and Analyzing Dose-Finding Trials gives a thorough presentation of state-of-the-art methods for early phase clinical trials. The methodology of clinical trials has advanced greatly over the last 20 years and, arguably, nowhere greater than that of ear...

Mathematical Theory of Bayesian Statistics


Sumio Watanabe
April 20, 2018

Mathematical Theory of Bayesian Statistics introduces the mathematical foundation of Bayesian inference which is well-known to be more accurate in many real-world problems than the maximum likelihood method. Recent research has uncovered several mathematical laws in Bayesian statistics, by which...

An Introduction to Generalized Linear Models, Fourth Edition

Annette J. Dobson, Adrian G. Barnett
April 13, 2018

An Introduction to Generalized Linear Models, Fourth Edition provides a cohesive framework for statistical modelling, with an emphasis on numerical and graphical methods. This new edition of a bestseller has been updated with new sections on non-linear associations, strategies for model selection,...

Analysis of Correlated Data with SAS and R, Fourth Edition

Mohamed M. Shoukri
April 02, 2018

Analysis of Correlated Data with SAS and R: 4th edition presents an applied treatment of recently developed statistical models and methods for the analysis of hierarchical binary, count and continuous response data. It explains how to use procedures in SAS and packages in R for exploring data,...

Smarter Agile Public Health: Leveraging Analytics and Technology

Jay Bhatt
April 01, 2018

Public health is not about treatment of individual illness, it’s about prevention within populations. While implementation of reactive public health policies is a challenge, the even bigger challenge is in the prediction of meaningful public health interventions, catching them before they start....

Bayesian Methods for Repeated Measures

Lyle D. Broemeling
April 01, 2018

Analyze Repeated Measures Studies Using Bayesian Techniques Going beyond standard non-Bayesian books, Bayesian Methods for Repeated Measures presents the main ideas for the analysis of repeated measures and associated designs from a Bayesian viewpoint. It describes many inferential methods for...

Missing and Modified Data in Nonparametric Estimation: With R Examples

Sam Efromovich
March 12, 2018

This book presents a systematic and unified approach for modern nonparametric treatment of missing and modified data via examples of density and hazard rate estimation, nonparametric regression, filtering signals, and time series analysis. All basic types of missing at random and not at random,...

A Guide to Outcome Modeling In Radiotherapy and Oncology: Listening to the Data

Issam El Naqa
March 02, 2018

This book explores outcome modeling in cancer from a data-centric perspective to enable a better understanding of complex treatment response, to guide the design of advanced clinical trials, and to aid personalized patient care and improve their quality of life. It contains coverage of the relevant...

Bayesian Regression Modeling with INLA

Xiaofeng Wang, Yu Yue Ryan, Julian J. Faraway
February 22, 2018

This book addresses the applications of extensively used regression models under a Bayesian framework. It emphasizes efficient Bayesian inference through integrated nested Laplace approximations (INLA) and real data analysis using R. The INLA method directly computes very accurate approximations to...

Principles of Biostatistics, Second Edition

Marcello Pagano, Kimberlee Gauvreau
February 16, 2018

This edition is a reprint of the second edition published in 2000 by Brooks/Cole and then Cengage Learning. Principles of Biostatistics is aimed at students in the biological and health sciences who wish to learn modern research methods. It is based on a required course offered at the Harvard...

Statistics in the Health Sciences: Theory, Applications, and Computing

Albert Vexler, Alan Hutson
February 07, 2018

"This very informative book introduces classical and novel statistical methods that can be used by theoretical and applied biostatisticians to develop efficient solutions for real-world problems encountered in clinical trials and epidemiological studies. The authors provide a detailed discussion of...

Applied Epidemiologic Principles and Concepts: Clinicians' Guide to Study Design and Conduct

Laurens Holmes, Jr.
December 21, 2017

This book provides practical knowledge to clinicians and biomedical researchers using biological and biochemical specimen/samples in order to understand health and disease processes at cellular, clinical, and population levels. Concepts and techniques provided will help researchers design and...

Biostatistics for Clinical and Public Health Research

Melody S. Goodman
December 18, 2017

Biostatistics for Clinical and Public Health Research provides a concise overview of statistical analysis methods. Use of SAS and Stata statistical software is illustrated in full, including how to interpret results. Focusing on statistical models without all the theory, the book is complete with...