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2013

Propensity score weighting for covariate balance- Presenter: Alan M. Zaslavsky Wednesday, September 18, 2013

Presenter: Alan M. Zaslavsky 

Abstract: Balance of covariate distributions is crucial for an unconfounded descriptive or causal comparison between different groups. However, lack of overlap in the covariates is common in observational studies. We discuss weighting strategies for balancing covariates. A general class of weights --- the balancing weights --- that balance the expectation of the covariates in the treatment and the control groups is proposed. The methods rely on the propensity score and include several existing weights,...

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Does Regression Produce Representative Estimates of Causal Effects? Wednesday, September 11, 2013

Presenter: Peter Aronow 

Abstract: It is well-known that, with an unrepresentative sample, the estimate
of a causal effect may fail to characterize how effects operate in the
population of interest. What is less well understood is that
conventional estimation practices for observational studies may
produce the same problem even with a representative sample.
Specifically, causal effects estimated via multiple regression
differentially weight each unit's contribution. The ``effective
sample'' that regression uses to...

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Discovering latent network structure from spiking data using Hawkes process Wednesday, September 4, 2013

Presenter: Scott W. Linderman 

Abstract: Scott Linderman will be speaking on discovering latent network structure from spiking data using Hawkes processes. Examples of this include: recovering neural connectivity from electrophysiological recordings; discovering interactions between stocks on the S&P 100; and identifying patterns in homicide data from Chicago.

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