Cathy WangDoctoral Student, Department of Biostatistics, Harvard University"Multi-Study Boosting" ABSTRACT: Training prediction models on multiple studies is more likely to produce cross-study replicable results. Recent work in multi-study learning leverages ensembles of prediction models, each trained on one, or a subset, of the studies, to design cross-study replicable prediction algorithms. Boosting is an ensemble learning … Continue reading "Quantitative Issues in Cancer Research Working Seminar"

Shayna SteinDoctoral StudentMathematical modeling of tumor evolution and response to therapyAbstract: Recent advancements in using monotherapies and combinations of therapeutics have led to improvements in cancer patient outcomes. Despite these advancements, cure and toxicity rates remain poor for many cancers. Identifying optimal approaches to treatment is particularly important for combination therapies where the space of … Continue reading "Biostat Student Seminar"

The COVID-19 pandemic in the United States has disproportionately affected communities of color, people living in poverty, and other marginalized groups. Speakers will explore how COVID-19 exposure risk, the quality … Continue reading "CCDD COVID-19 and Health Inequities Seminar Series"

The COVID-19 pandemic in the United States has disproportionately affected communities of color, people living in poverty, and other marginalized groups. Speakers will explore how COVID-19 exposure risk, the quality of COVID-19-specific medical care, and social determinants of health contribute to disparate trends in COVID-19 infection and mortality seen in the United States. Speakers will … Continue reading "CCDD COVID-19 and Health Inequities Seminar Series"

Lee-Jen Wei, Ph.D.Professor, Department of Biostatistcs, Harvard T.H. Chan School of Public HealthHow to Quantify and Interpret the Treatment Effect for Comparative COVID-19 Clinical Studies? Abstract: Clinical trials of treatments for coronavirus disease 2019 (COVID-19) draw intense public attention. More than ever, valid, transparent, and intuitive summaries of the treatment effects, including efficacy and harm, … Continue reading "HIV Working Group"

Frontiers in Biostatistics SeminarOctober 13, 20201:00PM ETLu Tian, PhDAssociate Professor of Biomedical Data Science in the School of Medicine, Stanford UniversityIt is appealing to compared survival distributions based on restricted mean survival time (RMST), since it generates a clinically interpretable summary of the treatment effect, which can be estimated nonparametrically without assuming restrictive model assumptions … Continue reading "Frontiers in Biostatistics: Constructing Confidence Interval for RMST under Group Sequential Setting"

Andy ShiTitle: Two biostatistical approaches to the COVID-19 pandemicAbstract: Despite the widespread implementation of public health measures, coronavirus disease 2019 (COVID-19) continues to spread in the United States. In this talk, I will highlight two projects that aim to facilitate a better response to the pandemic. First, I will discuss How We Feel, a web … Continue reading "Biostat Student Seminar"

We are extremely pleased to announce that Dr. Joseph W. Hogan, the Carole and Lawrence Sirovich Professor of Public Health, Professor of Biostatistics, and Deputy Director of Data Science at Brown University, will be the recipient of the 2020 Lagakos Distinguished Alumni Award. Please join us for his virtual lecture on:Thursday, October 15, 2020 | … Continue reading "Lagakos Alumni Award Lecture"

The COVID-19 pandemic in the United States has disproportionately affected communities of color, people living in poverty, and other marginalized groups. Speakers will explore how COVID-19 exposure risk, the quality of COVID-19-specific medical care, and social determinants of health contribute to disparate trends in COVID-19 infection and mortality seen in the United States. Speakers will … Continue reading "CCDD COVID-19 and Health Inequities Seminar Series"

Jill LundellResearch FellowHarvard T.H. Chan School of Public HealthAutomatic Tuning of Supervised Learning Methods with Applications in Cancer Diagnosis Abstract: Supervised learning methods can be used to create powerful classifiers, but many models must be tuned to obtain good results. I will present work I have done on utotuning support vector machines, boosted trees, and … Continue reading "Quantitative Issues in Cancer Research Working Seminar"

The COVID-19 pandemic in the United States has disproportionately affected communities of color, people living in poverty, and other marginalized groups. Speakers will explore how COVID-19 exposure risk, the quality of COVID-19-specific medical care, and social determinants of health contribute to disparate trends in COVID-19 infection and mortality seen in the United States. Speakers will … Continue reading "CCDD COVID-19 and Health Inequities Seminar Series"

Danielle Ompad, Ph.D.Associate Professor of Epidemiology/Associate Dean for Education, Department of Epidemiology, NYU School of Global Public HealthAccess and Use of Marijuana Products During the Pandemic: Preliminary Findings from an … Continue reading "HIV Working Group"

Patrick Emedom-NnamdiDoctoral Student, Department of Biostatistics, Harvard University"Determining Surgical Recovery Strategies with Offline Reinforcement Learning"ABSTRACT: mproving patient recovery after a post-operative event continues to be a concern for many medical providers. We propose using offline reinforcement learning algorithms to identify how patients should adapt levels of physical activity and mobility at various post-operative time points … Continue reading "Quantitative Issues in Cancer Research Working Seminar"

Alejandra Avalos Title: Factor regression for dimensionality reduction and data integration techniques with applications to cancer data Abstract: Two key challenges in modern statistical applications are the large amount of information recorded per individual, and that such data are often not collected in batches. These batch effects (BE) can be complex, causing distortions in both … Continue reading "Biostat Student Seminar"