ISMRM 25th Annual Meeting & Exhibition • 22-27 April 2017 • Honolulu, HI, USA
|Weekend Educational Course: Biostatistics for Imaging Studies|
ORGANIZERS: Dwight G. Nishimura, Ph.D.
Sunday, 23 April 2017
Skill Level: Basic to Intermediate
Slack Channel: #e_crosscutting
Session Number: WE26
Please note the schedule of this session is as follows:
Foundations of Imaging Studies
13:15 Designing Studies of Diagnostic Imaging - Nancy Obuchowski, Ph.D.
13:45 Basic Concepts in Calculations of Sample Size & Statistical Power - Todd A. Alonzo, Ph.D.
14:15 Break & Meet the Teachers
Statistical Methods in Imaging Studies
14:30 Part 1 of Assessing Quantitative Imaging Biomarkers (QIBs) - Nancy Obuchowski, Ph.D.
14:55 Part 1 of ROC Analysis in Diagnostic Medicine - Todd A. Alonzo, Ph.D.
15:20 Break & Meet the Teachers
15:35 Part 2 of ROC Analysis: Multi-Reader ROC & Other Advanced ROC Methods - Nancy Obuchowski, Ph.D.
15:55 Part 2 of Assessing QIBs: Statistical Prognostic/Predictive Modeling of QIBs - Todd A. Alonzo, Ph.D.
16:15 Adjournment & Meet the Teachers
An understanding of statistical analysis methods is fundamental to all scientific and clinical research. This half-day Educational Course will provide an introduction to bio statistical methods for imaging studies. The course will focus on common data analysis methods, including single-reader and multi-reader ROC analysis and methods for quantitative imaging biomarkers, with case studies presented to illustrate when they are applicable. The course will also cover the key concepts in designing a study, including common biases and methods for minimizing bias, designs to improve study efficiency, and sample size considerations.
Scientists, medical physicists, engineers, and clinicians who would like an overview of bio statistical techniques and study designs used for imaging studies.
Upon completion of this course, participants should be able to:
-Describe common data analysis methods used in imaging studies;
-Identify appropriate methods for different types of studies;
-Apply key concepts for unbiased and efficient study designs; and
-Assess technical performance of quantitative imaging biomarkers.
The International Society for Magnetic Resonance in Medicine is accredited by the Accreditation Council for