Statistical Analysis with Measurement Error or Misclassification Strategy, Method and Application

“This book constitutes a comprehensive and thorough treatment of measurement error and misclassification in survival data, recurrent event data, longitudinal data, multi-state models, and case-control studies. … the book is well written and a pleasure to read.” (Rianne Jacobs, ISCB News, iscb.info, Issue 65, June, 2018)






“This book successfully collects, compiles, organizes, and presents the literature on the newly developed and earlier existing topics of measurement error models and misclassification in a crisp and concise way without losing the clarity in understanding. … I am sure it will stimulate researchers in and newcomers to this area.” (Shalabh, Mathematical Reviews, June, 2018)



“This book covers a wide range of topics in a unified framework where measurement error and misclassification problems receive careful treatments, from both practical and theoretical points of view. … This book can serve well as a textbook for a graduate-level course on measurement error in a (bio)statistics department … . Besides ample real life applications presented in the book, from which students can appreciate practical relevance of measurement error problems … .” (Xianzheng Huang, Journal of the American Statistical Association JASA, Vol. 113 (522), 2018)