Data Visualización Literacy: Avoiding common mistakes and recognizing deceitful practicesA conversation with Alberto CairoKnight Chair in Visual Journalism at the School of Communication of the University of Miami Moderator: Rafael Irizarry Register at https://bit.ly/DSSept2

Gopal KotechaDoctoral Student, Department of Biostatistics, Harvard University"Bayes Adaptive Factorial Clinical Trials"ABSTRACT: This is a novel trial design that uses a decision theoretic framework to determine response-adaptive randomization in the factorial setting.

Xiao Wu Title: Air Pollution and Mortality among Vulnerable Population Abstract: In a recent study, leveraging 16 years of data—68.5 million Medicare enrollees—we have provided strong evidence of the causal link between long-term air pollution exposure and mortality under a set of causal inference assumptions. Assessing whether long-term exposure to air pollution increases the severity … Continue reading "Biostat Student Seminar"

We are extremely pleased to announce that Department of Biostatistics alumnus Dr. Eric Tchetgen Tchetgen will be the recipient of the 2020 Myrto Lefkopoulou Distinguished Lectureship. Please join us for his virtual lecture on:Thursday, September 17, 2020 | 1-2pm | Via Zoom"An Introduction to Proximal Causal Learning"

Eric DunipaceDoctoral Student, Department of Biostatistics, Harvard University"Optimal Transport Weights for Causal Inference" ABSTRACT: Weighting methods are an increasingly popular way to perform causal inference, especially ones that weight by the inverse propensity score. However, such weights suffer from increased variance and bias when the outcome and weighting models are both incorrect. To correct for … 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"

Jonathan LarsonDoctoral Student, Department of Biostatistics, Harvard University"Inferring the Minimum Spanning Tree (MST) from a Sample Network"ABSTRACT: Minimum spanning trees (MSTs) have been used by infectious disease researchers to infer the transmission pathway of certain pathogens. However, these are often the MSTs of sample networks, not population networks, and surprisingly little is known about what … Continue reading "HIV Working Group"

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"