2016

2/24/2016- Jessie Myers Franklin (Harvard & Brigham Women's)- Comparing marginal estimators of propensity-adjusted treatment effects in studies with few observed outcome events Wednesday, February 24, 2016

Title: Comparing marginal estimators of propensity-adjusted treatment effects in studies with few observed outcome events

Abstract:  Nonrandomized studies of treatments from electronic healthcare databases are critical for producing the evidence necessary to making informed treatment decisions, but often rely on comparing rates of events observed in a small number of patients. In addition, a typical study constructed from an electronic healthcare database, for example, administrative claims data, requires adjustment for many,...

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2/17/2016- Jann Spiess (Harvard)- Robust Post-Matching Inference Wednesday, February 17, 2016

Title: Robust Post-Matching Inference

Abstract: 

Nearest-neighbor matching (Cochran, 1953; Rubin, 1973) is a popular nonparametric tool to create balance between treatment and control groups in non-experimental data. As a preprocessing step for regression analysis, it reduces the dependence on parametric modeling assumptions (Ho et al., 2007). In this paper, we show how to obtain valid standard error estimates for linear regression after nearest-neighbor matching without replacement. We show that standard error estimates...

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2/10/2016- Hanna Wallach (Microsoft Research) Modeling Topic-Partitioned Network Structure Wednesday, February 10, 2016

Title: Modeling Topic-Partitioned Network Structure

Abstract: 

In this talk, I will discuss two projects centered around modeling
topic-partitioned network structure. The first focuses on obtaining
and analyzing local government email corpora. I will describe a field
experiment that we conducted to investigate whether governments'
compliance with public records requests is influenced by the knowledge
that their peers have already complied. I will then talk about
studying local government organizations...

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2/3/2016- Nicole Immorlica (Microsoft Research)- The Degree of Segregation in Social Networks Wednesday, February 3, 2016

Abstract: In 1969, economist Thomas Schelling introduced a landmark model of racial segregation in which individuals choose residences based on the racial composition of the corresponding neighborhoods.  Simple simulations of Schelling's model suggest this local behavior can cause segregation even for racially tolerant individuals.  In this talk, we provide rigorous analyses of the degree of segregation in Schelling's model on one-dimensional and two-dimensional lattices.  We see that if agents refuse to live in neighborhood in which their...

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1/27/2016- David Lazer (Harvard)- Tools for 21st Century Social Science Wednesday, January 27, 2016

Abstract: Developments at the intersection of the social sciences, computer science, and the Internet have opened up new vistas for studying social systems. These opportunities often come with substantial start up costs. For example, the Internet enables experiments at larger scale/lower costs than was previously conceivable. However, the start up cost for managing/coding online experiments can still be substantial. I will discuss two data infrastructures that my lab has been working on.  The first is Volunteer Science (...

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