Published Books

Bias! How Systemic Error Threatens Biomedical Research

Bracken MB. Bias! How Systemic Error Threatens Biomedical Research. Cambridge University Press; 2026.

Bias! How Systemic Error Threatens Biomedical Research

Author: Bracken MB. Cambridge University Press; 2026

Michael B. Bracken

Background

Professor Michael Bracken’s new book was published by Cambridge University Press: "Bias! How Systemic Error Threatens Biomedical Research"

The book is described by Cambridge University Press as:

“An intricate landscape of bias permeates biomedical research. In this groundbreaking exploration the myriad sources of bias shaping research outcomes, from cognitive biases inherent in researchers to the selection of study subjects and data interpretation, are examined in detail. With a focus on randomized controlled trials, pharmacologic studies, genetic research, animal studies, and pandemic analyses, it illuminates how bias distorts the quest for scientific truth. Historical and contemporary examples vividly illustrate the impact of biases across research domains. Offering insights on recognizing and mitigating bias, this comprehensive work equips scientists and research teams with tools to navigate the complex terrain of biased research practices. A must-read for anyone seeking a deeper understanding of the critical role biases play in shaping the reliability and reproducibility of biomedical research.”

About the author

Dr. Michael Bracken is Susan Dwight Bliss Professor Emeritus of Epidemiology, and former Professor of Obstetrics, Gynecology, & Reproductive Sciences and Neurology at the Yale School of Public Health, and a sometime Research Fellow in Green Templeton College, Oxford University. Michael has published some 400 research articles and authored three books: Perinatal Epidemiology, Oxford University Press, 1984; Effective Care of the Newborn Infant (with Jack Sinclair), Oxford University Press, 1992 (BMJ named this book one of the most influential in evidence-based medicine); and Risk, Chance and Causation: Investigating the Origins and Treatment of Disease, Yale University Press, 2013. He served as President of the American College of Epidemiology and the Society for Epidemiologic Research.

Risk, Chance, and Causation: Investigating the Origins and Treatment of Disease

Bracken MB.  Risk, Chance, and Causation: Investigating the Origins and Treatment of Disease. New Haven: Yale University Press; 2013.

Multivariate Methods in Epidemiology

Holford TR. Multivariate methods in epidemiology. Oxford University Press; 2002. The book is by Theodore Holford, PhD, Susan Dwight Bliss Professor Emeritus of Biostatistics and Senior Research Scientist in Biostatistics.

Data Management Essentials, Using SAS and JMP

Kezik J, Hill M.
Data Management Essentials - Using SAS and JMP. Cambridge University Press; 2016.

Data Management Essentials - Using SAS and JMP

Authored by Julie Kezik and Melissa Hill. Published by Cambridge University Press, June 2016.

Background:

SAS programming is a creative and iterative process designed to empower you to make the most of your organization's data. This friendly guide provides you with a repertoire of essential SAS tools for data management, whether you are a new or an infrequent user. Most useful to students and programmers with little or no SAS experience, it takes a no-frills, hands-on tutorial approach to getting started with the software. You will find immediate guidance in navigating, exploring, visualizing, cleaning, formatting, and reporting on data using SAS and JMP. Step-by-step demonstrations, screenshots, handy tips, and practical exercises with solutions equip you to explore, interpret, process and summarize data independently, efficiently and effectively.

About the authors:

Julie Kezik is a biostatistician at the Yale Center for Perinatal, Pediatric, and Environmental Epidemiology. Her primary research interests are assessing the effects of indoor and outdoor air pollution on at-risk populations, and she currently focuses on providing statistical analysis and research support for epidemiological studies of environmental exposures and early childhood health outcomes. Kezik’s current work uses a combination of measured data, traffic information, and health outcomes to help create interventions that will improve health.

Melissa Hill is a clinical programmer at Cd3 Inc. where she uses SAS to perform and support the design and programming of clinical data structures related to drug development. Prior to her position at Cd3 Inc., she worked as an epidemiologist at the Yale Center for Perinatal, Pediatric, and Environmental Epidemiology. During that time, Hill used SAS to support her various roles at the CPPEE including programmer analyst, field study coordinator, and research associate. She enjoys sharing her diverse SAS experience with other members of her team and developing new ways to harness the broad range of tools that SAS provides.

To view and learn more about their book, visit Cambridge University Press or Amazon.

Blog: Filling the "beginner" void of SAS

In a new interview, Data Management Essentials Using SAS and JMP authors, Julie Kezik of the Yale School of Public Health and Melissa Hill of CD3 Inc., describe how their accessible guide is the ideal source for SAS users and instructors. Visit fifteeneightyfour at Cambridge University Press, to read the authors' blog Filling the "beginner" void of SAS.