• Upcoming Events
  • Awards
  • Distinguished Lecture
  • Latest Seminars and Events
  • Others
  • Seminars
  • Workshop and Conference
  • Past Events
  • Student Issue
Upcoming Events
Topic:Statistical Methods for Selecting Best Treatment with High-Dimensional Data
Time:2:30 pm - 3:30 pm
Venue:Room LT7, Lee Shau Kee Building (LSK)
Speaker:Professor Xiao-Hua ZHOU


We consider heterogeneous treatment effects on a set of high-dimensional covariates for observational data without the strong ignorability assumption. With a binary instrumental variable, the parameters of interest are identifiable on an unobservable subgroup (compliers) of the population through a two-stage regression model. The Lasso estimation under a non-convex objective function is developed for the two-stage regression. Its desparsifying estimator and the inference procedure are proposed. The confidence interval for the treatment effect given specific covariates is also constructed. The proposed approach works for both continuous and categorical response variables under the framework of generalized linear models. Theoretical properties of the proposed method are derived, and simulation studies are conducted to evaluate its performance. A real data analysis on the Oregon Health Insurance Experiment is performed to illustrate the utility of the proposed method in practice.

İstanbul escort bayan sivas escort samsun escortbayan sakarya escort Muğla escort Mersin escort Escort malatya Escort konya Kocaeli Escort Kayseri Escort izmir escort bayan hatay bayan escort antep Escort bayan eskişehir escort bayan erzurum escort bayan elazığ escort diyarbakır escort escort bayan Çanakkale Bursa Escort bayan Balıkesir escort aydın Escort Antalya Escort ankara bayan escort Adana Escort bayan