Steve Figard

Steve Figard

Research Director, Bob Jones University

Dr. Steve Figard earned a BS in Neurobiology from Cornell University, an MS in Chemistry from Northern Illinois University, and was finally ejected with a PhD in Biochemistry from Florida State University in 1984. After a two-year post-doc at Los Alamos National Laboratory, he escaped to Abbott Laboratories in Chicago, where he hid for nearly 26 years, developing automated in vitro diagnostic immunoassays. Most recently he deserted to the warmer climes of South Carolina, where he heads up Bob Jones University’s Cancer Research lab mentoring undergraduate biology majors through a true research experience using cancer biology.

Coming Soon

Introduction to Biostatistics with JMP

Introduction to Biostatistics with JMP®

By Steve Figard
Anticipated publication date: Fourth quarter 2019

Explore biostatistics using JMP® in this refreshing introduction

Presented in an easy-to-understand way, Introduction to Biostatistics with JMP®   introduces undergraduate students in the biological sciences to the most commonly used (and misused) statistical methods that they will need to analyze their experimental data using JMP. It covers many of the basic topics in statistics using biological examples for exercises so that the student biologists can see the relevance to future work in the problems addressed.

The book starts by teaching students how to become confident in executing the right analysis by thinking like a statistician then moves into the application of specific tests. Using the powerful capabilities of JMP, the book addresses problems requiring analysis by chi-square tests, t tests, ANOVA analysis, various regression models, DOE, and survival analysis. Topics of particular interest to the biological or health science field include odds ratios, relative risk, and survival analysis.

The author uses an engaging, conversational tone to explain concepts and keep readers interested in learning more. The book aims to create bioscientists who can competently incorporate statistics into their investigative toolkits to solve biological research questions as they arise.

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