Hi all,
This week at the Applied Statistics workshop we will be welcoming Christopher Rycroft, an Assistant Professor of Applied Mathematics at Harvard University. He will be presenting work entitled "High-throughput screening of crystalline porous materials." Please find the abstract below and on the website.
We will meet in CGIS Knafel Room 354 at noon and lunch will be provided.
Best,
Pam
Title: High-throughput screening of crystalline porous materials
Abstract: Crystalline porous materials, such as zeolites, contain complex networks of void channels that are exploited in many industrial applications, such as for carbon dioxide capture and storage. This talk will develop some geometry-based methods for statistically screening large databases of porous materials, to select candidates that are optimal for a given application.
Hi all,
This week at the Applied Statistics workshop we will be welcoming David Parkes, the George F. Colony Professor of Computer Science and Area Dean for Computer Science at Harvard University. He will be presenting work entitled "Long-term causal effects via behavioral game theory." Please find the abstract below and on the website. The paper can be found here: https://arxiv.org/abs/1501.02315
We will meet in CGIS Knafel Room 354 at noon and lunch will be provided.
Best,
Pam
Title: Long-term causal effects via behavioral game theory
Abstract: Random experiments are the gold standard in reliably comparing the causal effect of switching from a baseline policy to a new policy on socio-economic platforms. One critical shortcoming of classical methods,
however, is that they do not take into account the dynamic nature of response to policy changes and may fail to capture long-term effects. We formalize a framework to define and estimate long-term causal effects of policy changes in multiagent economies, using behavioral game theory and a latent space approach, where a model of how agents act conditional on latent behaviors is combined with a temporal model of how behaviors evolve
over time.
To appear in NIPS 2016. Joint work with Panos Toulis, Econometrics and
Statistics, University of Chicago, Booth School.
https://arxiv.org/abs/1501.02315
Hi all,
This week at the Applied Statistics workshop we will be welcoming Sharon-Lise Normand, a Professor of Health Care Policy at Harvard Medical School and Professor of Biostatistics at the Harvard T.H. Chan School of Public Health. She will be presenting work entitled "Assessing Quality and Equity in Health Care." Please find the abstract below and on the website.
We will meet in CGIS Knafel Room 354 at noon and lunch will be provided.
Best,
Pam
Title: "Assessing Quality and Equity in Health Care"
Abstract:
The last two decades have been characterized by an increasing focus on healthcare provider performance measures, most often utilizing multiple binary response outcomes. In this problem, data arise from multiple clusters where (a) outcomes within clusters are more similar than outcomes between clusters; (b) within-cluster covariates vary across clusters; (c) clusters are observed repeatedly over time; and (d) multiple binary measures are observed for each unit within the cluster. In this talk, we describe methods to determine whether quality of care in schizophrenia care varies by race/ethnicity and over time; and (b) whether these patterns differ across counties within states using Medicaid claims data from California, Florida, New York, and North Carolina during 2002-2008. Random effects approaches for handling within-county correlation and item response theory models for handling multiple binary outcomes per beneficiary are used to determine if where you live matters.
Thanks: Marcela Horvitz-Lennon (Rand Corporation), Rita Volya (Harvard Medical School), Rachel Garfield (Kaiser Family Foundation), Julie Donohue and Judith Lave (University of Pittsburgh Graduate School of Public Health). This research was supported by R01MH087488 from the National Institute of Mental Health.
