Statistical Tools For Measuring Agreement

Posted by on Oct 9, 2021 in Uncategorized | No Comments

Dr. Lawrence I. Lin is a Senior Scientist at Baxter International Inc. in the Department of Biostatistics. He is also an Associate Professor in the Department of Mathematics, Statistics and Computer Science at the University of Illinois at Chicago. More than thirty years of consulting experience in clinical studies, research and development (mainly animal toxicity and physiology studies), test validation and method comparisons, product reliability, laboratory quality control (QC), virus screening and inactivation process, pharmacokinetics, market research, litigation, outcome studies, product stability, trend of rare events (signal detection) and evaluation of agreements. His research priorities include agreement evaluation, surveillance strategies, data transformation, discrimination analysis, clinical trial design, medical and pharmaceutical statistics, linear and non-linear modeling, and robust statistics. He has published on 30 articles in traditional journals. Dr.

Lin is a Fellow of the American Statistical Association and an elected member of the International Statistical Institute. He has been an expert on numerous 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. Recently, the Guidelines for Studies on the Reliability of Reports and Agreement (GRRAS) have been proposed [35]. Kottner et al. This systematic review has several advantages. This is the first study specifically designed to retrieve information on statistical methods used to test the conformity of instruments that measure the same continuous variable in the medical literature. . .