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...

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...

Applied Surrogate Endpoint Evaluation Methods with SAS and R

Ariel Alonso, Theophile Bigirumurame, Tomasz Burzykowski, Marc Buyse, Geert Molenberghs, Leacky Muchene, Nolen Joy Perualila, Ziv Shkedy, Wim Van der Elst
December 13, 2017

An important factor that affects the duration, complexity and cost of a clinical trial is the endpoint used to study the treatment’s efficacy. When a true endpoint is difficult to use because of such factors as long follow-up times or prohibitive cost, it is sometimes possible to use a surrogate...

Statistical Analysis of Medical Data Using SAS

Brian S. Der
December 13, 2017

Statistical analysis is ubiquitous in modern medical research. Logistic regression, generalized linear models, random effects models, and Cox's regression all have become commonplace in the medical literature. But while statistical software such as SAS make routine application of these techniques...

Essential Statistics for Medical Practice

D.G. Rees
December 13, 2017

A firm understanding of the basic statistical methods used in current medical literature is now essential for medical practice, as research papers have become increasingly statistical in nature. This book has a unique, case-study approach, starting with six actual research papers showing which...

Medical Biostatistics, Fourth Edition

Abhaya Indrayan, Rajeev Kumar Malhotra
December 06, 2017

Encyclopedic in breadth, yet practical and concise, Medical Biostatistics, Fourth Edition focuses on the statistical aspects ofmedicine with a medical perspective, showing the utility of biostatistics as a tool to manage many medical uncertainties. This edition includes more topics in order to fill...

Statistical Topics in Health Economics and Outcomes Research

Demissie Alemayehu, PhD, Joseph C. Cappelleri, PhD, Birol Emir, PhD, Kelly H. Zou, PhD, Pstat
November 28, 2017

With ever-rising healthcare costs, evidence generation through Health Economics and Outcomes Research (HEOR) plays an increasingly important role in decision-making about the allocation of resources. Accordingly, it is now customary for health technology assessment and reimbursement agencies to...

Analyzing Health Data in R for SAS Users

Monika Maya Wahi, Peter Seebach
November 27, 2017

Analyzing Health Data in R for SAS Users is aimed at helping health data analysts who use SAS accomplish some of the same tasks in R. It is targeted to public health students and professionals who have a background in biostatistics and SAS software, but are new to R. For professors, it is useful...

Applied Biostatistical Principles and Concepts: Clinicians' Guide to Data Analysis and Interpretation

Laurens Holmes, Jr.
November 20, 2017

The past three decades have witnessed modern advances in statistical modeling and evidence discovery in biomedical, clinical, and population-based research. With these advances come the challenges in accurate model stipulation and application of models in scientific evidence discovery Applied...

Statistical Methods in Psychiatry and Related Fields: Longitudinal, Clustered, and Other Repeated Measures Data

Ralitza Gueorguieva
November 15, 2017

Data collected in psychiatry and related fields are complex because outcomes are rarely directly observed, there are multiple correlated repeated measures within individuals, there is natural heterogeneity in treatment responses and in other characteristics in the populations. Simple statistical...

Survival Analysis with Interval-Censored Data: A Practical Approach with Examples in R, SAS, and BUGS

Kris Bogaerts, Arnost Komarek, Emmanuel Lesaffre
November 14, 2017

Survival Analysis with Interval-Censored Data: A Practical Approach with Examples in R, SAS, and BUGS provides the reader with a practical introduction into the analysis of interval-censored survival times. Although many theoretical developments have appeared in the last fifty years, interval...

Randomization, Masking, and Allocation Concealment

Vance Berger
October 26, 2017

Randomization, Masking, and Allocation Concealment is indispensable for any trial researcher who wants to use state of the art randomization methods, and also wants to be able to describe these methods correctly. Far too often the subtle nuances that distinguish proper randomization from flawed...