Bryan E. Shepherd, Ph.D. Professor, Department of Biostatistics, Vanderbilt University School of Medicine "Analyzing Continuous Response Data with Ordinal Cumulative Probability Models" ABSTRACT: The popular ordinal cumulative link model (which we refer to as the cumulative probability model because probabilities – not links – are cumulative) can be used to directly model continuous response data … Continue reading "HIV Working Group"

Patrick Emedom-Nnamdi Doctoral Student, Department of Biostatistics, Harvard University "Hidden Markov Models and Considerations for Digital Phenotyping Data" ABSTRACT: Recent developments in collecting individual-level phenotypic data in free-living settings through … Continue reading "Quantitative Issues in Cancer Research Working Seminar"

Tushar Kamath PhD Candidate, Biophysics, Broad Institute MD Student, Harvard Medical School Vulnerabilities of midbrain dopaminergic neurons to Parkinson’s disease revealed by single-cell genomics The loss of some dopamine (DA) … Continue reading "PQG Working Group"

Gopal Kotecha Doctoral Student, Department of Biostatistics, Harvard University "Shared Control Arm Trials in the context of Glioblastoma Multiforme" ABSTRACT: We outline clinical trial landscape of Glioblastoma Multiforme, with suggestions … Continue reading "Quantitative Issues in Cancer Research Working Seminar"

Nilanjana Laha, Ph.D Research Fellow, Department of Biostatistics, Harvard T.H. Chan School of Public Health "Improved Inference for Vaccine-induced Immune Responses via Shape-constrained Methods" ABSTRACT: We study the performance of … Continue reading "HIV Working Group"

Jane Liang Doctoral Student, Department of Biostatistics, Harvard University "An Aggregate Utility Tool for Evaluating Genes in a Panel Test" ABSTRACT: Panel germline testing allows for the efficient detection of … Continue reading "Quantitative Issues in Cancer Research Working Seminar"

VICTOR DE GRUTTOLA, SD ('86) Research Professor, Department of Biostatistics, Harvard T.H. Chan School of Public Health "Network Methods and Infectious Disease Control" Abstract: Network methods can be useful in design, monitoring, and analysis of cluster randomized trials for control of spread of viral infections. This usefulness grows out of the role of statistical network … Continue reading "HIV Working Group"