Statistical Tools for Measuring Agreement

Introduction. - Basic approach for paired continuous data when target values are random or fixed. - Sample size and power. - Unified approach for continuous and categorical data.

Dr. Lawrence I. Lin is Principal Scientist of Baxter International Inc., in the Department of Biostatistics.  He is also Adjunct Professor in the Department of Mathematics, Statistics, and Computer Science, University of Illinois at Chicago.  More than thirty years consulting experience in clinical trials, research and development (mostly animal toxicity and physiology studies), assay validation and methods comparisons, reliability of products, lab quality control (QC), virus assay and inactivation process, pharmacokinetics, marketing research, litigation, outcome research, product stability, trending of rare events (signal detection), and agreement assessment.  His main lines of research include assessment of agreements, surveillance strategies, data transformation, discriminant analysis, design of clinical trials, medical and pharmaceutical statistics, linear and non-linear modeling, and robust statistics. He has published publications over 30 articles to the traditional journals.  Dr. Lin is a Fellow of the American Statistical Association, and an elected member of the International Statistical Institute. He has served on as a referee of many international journals including Journal of American Statistical Association, Biometrics, Statistics in Medicines, Communication in Statistics, Journal of Biopharmaceutical Statistics, Journal of Applied Statistics, Journal of Probability and Statistics, to name a few.

Wenting Wu is a lead statistician at Mayo Clinic Cancer Center, and Assistant Professor of Biostatistics in Mayo Clinic Graduate School. Her primary research interests are in the areas of designing clinical trials in cancer and measuring agreements. Areas of active research include randomized phase II trials; meta-analyses; prognostic factor analyses; and clinical efficacy endpoint selections in phase II/III trials. In the last five years, Dr. Wu published more than 40 peer-reviewed articles, 2 book chapters, and more than 20 letters and conference

From the reviews:"Discusses the definitions of and differences between precision, accuracy, and agreement. ... As well as definitions and properties, the book includes discussion of sample size and power calculations, and of how to cope with multiple raters and multiple replicates. Each chapter concludes with a useful guide to related publications. This is a nice, concise summary of the area, and one which I shall certainly be recommending to colleagues." (David J. Hand, International Statistical Review, Vol. 81 (1), 2013)