2013 년 제 13 회 통계세미나 개최 안내
통계연구소에서는 다음과 같이 통계 세미나를 개최하오니 많은 참여 바랍니다 .
일시 : 2013 년 11 월 4 일 ( 월 ) 오후 12 시
장소 : 고려대학교 정경관 201 호
연사 : 임창원 박사 (Loyola University, Chicago)
Robust Analysis of High Throughput Screening (HTS) Assay Data
Quantitative high throughput screening (qHTS) assays use cells or tissues to screen thousands of compounds in a short period of time. Data generated from qHTS assays are evaluated using nonlinear regression models such as the Hill model and decisions regarding toxicity are made using the estimates of the parameters of the model. For any given compound, the variability in the observed response may either be constant across dose groups (homoscedasticity) or vary with dose (heteroscedasticity). Secondly, since thousands of chemicals are evaluated simultaneously, it is not uncommon to find outliers and influential observations in the data. It is well-known that the variance structure and outliers play an important role in the analysis of nonlinear regression models. Since thousands of chemicals are processed in a given run of the assay, it is necessary to develop and use a methodology that is robust to variance structure and outliers so that a researcher does not have to perform model diagnostics for each individual model. In this talk I describe such a robust methodology and illustrate it using a data set obtained from the U.S. National Toxicology Program.
고려대학교 통계연구소