PQG Seminar
In PersonJinghui Zhang Endowed Chair in Bioinformatics St. Jude Children’s Research Hospital Therapy-related clonal evolution driven by mutations and structural alterations of pediatric cancers and long-term survivors
Jinghui Zhang Endowed Chair in Bioinformatics St. Jude Children’s Research Hospital Therapy-related clonal evolution driven by mutations and structural alterations of pediatric cancers and long-term survivors
Larry will present the dissertation entitled "On Causal Inference in Real World Settings". The dissertation committee is chaired by Dr. Tianxi Cai and Dr. Lorenzo Trippa, and includes Dr. Sebastian Schneeweiss, and Dr. Rui Duan.
Please join us on Thursday, April 6 from 1-1:50pm in FXB G11 (note different location!) for a student seminar featuring biostatistics PhD students Patrick Emedom-Nnamdi, Intekhab Hossain and Madhav Sankaranarayanan. Pizza lunch will be provided. Madhav Sankaranarayanan & Intekhab … Continue reading "Biostatistics PhD/Master’s Student Seminar Series"
Jinghui Zhang Chair, Department of Computational Biology St Jude Children's Research Hospital Therapy-related clonal evolution in pediatric cancer patients and long-term survivors Understanding the short-term and long-term therapy-related effect on … Continue reading "PQG Seminar"
Speaker: Cathy Xue Title: Robust discovery of mutational signatures using power posteriors Abstract: Mutational signatures are distinctive patterns of mutations resulting from carcinogenic molecular processes, such as UV radiation, molecular effects of chemical agents, and defective DNA repair mechanisms. Non-negative matrix factorization (NMF) models have been used to discover mutational signatures and deconvolve their respective … Continue reading "Biostat Student Seminar Series"
Alex OcampoDoctoral Student, Department of Biostatistics, Harvard University"Talk Title TBD" Event Url https://ems.sph.harvard.edu/MasterCalendar/EventDetails.aspx?data=hHr80o3M7J6wjV7YXU8EeEA5AmYx3nEstiLGYFIY18ozTSfquIkV6APlurVOM0Zn
Nonparametric Bayesian estimation of causal exposure-response curves Causal exposure-response curves (ERCs) describe the causal effects of continuous exposures. Existing methods for the estimation of ERCs are mostly developed from a frequentist perspective and rely on computationally intensive resampling approaches for uncertainty evaluation. We propose a Gaussian process (GP) model to estimate ERCs, which achieves automatic … Continue reading "Environmental Statistics Seminar – Boyu Ren"
We’re excited to kick off another semester of the Biostatistics PhD/Master’s Student Seminar Series, a casual and relaxing space for Biostatistics students to share their research, internship experiences, or hard-won … Continue reading "Biostat Student Seminar Series"