gov3009-l April 2008

gov3009-l@lists.fas.harvard.edu

1 participants
5 discussions

Jamie Robins on "Estimation of Direct Effects in Different Contexts"

by Justin Grimmer

Dear Applied Statistics Community, Please join us for the final applied statistics workshop when Jamie Robins , Department of Epidemiology and Biostatistics, Harvard School of Public Health, will Present "Estimation of Direct Effects in different contexts: Pure and natural direct effects, Pathway-specific estimation, principal stratification, mendelian randomization, testing the exclusion restriction , and surrogate markers". A paper will be posted to the applied statistics blog (http://www.iq.harvard.edu/blog/sss/) later this evening. The Applied Statistics workshop meets in room N-354, CGIS-Knafel 1737 Cambridge. The workshop begins at 12noon with a light lunch, with our presentations beginning at 1215 and usually ending around 130 pm. Please send along any questions or comments Cheers Justin Grimmer

15 years, 12 months

James Robins to Present on April 30th

by Justin Grimmer

Dear Applied Statistics Community, I want to draw your attention to a recent addition to the schedule. Next week (Wednesday April 30th) the Applied Statistics Workshop is happy to present James Robins, Mitchell L. and Robin LaFoly Dong Professor of Epidemiology Harvard School of Public Health. An abstract and paper will be circulated as soon as they are available. Our end of the year schedule (to avoid confusion) is: -- Jeff Gill will present this Wednesday (April 23rd) --James Robins will present a week from Wednesday (April 30th) Apologies for the second email and please contact me with any questions, Justin Grimmer

16 years

Jeff Gill on "Circular Data in Political Science and How to Handle It"

by Justin Grimmer

Dear Applied Statistics Community, Please join us this Wednesday when Jeff Gill--Department of Political Science and Director Center for Applied Statistics, Washington University St Louis-- will present "Circular Data in Political Science and How to Handle It", work that is joint with Dominik Hangartner. Jeff and Dominik provided the following abstract There has been no attention to circular (purely cyclical) data in political science research. We show that such data exists and is generally mishandled by models that do not take into account the inherently recycling nature of some phenomenon. Clock and calendar effects are the obvious cases, but directional data exists as well. We develop a modeling framework based on the von Mises distribution and apply it to two datasets: casualties in the second Iraq war and suicides in Switzerland. Results clearly demonstrate the importance of circular regression models to handle periodic data. Jeff and Dominik also provided a preliminary draft of their paper, which is available here<http://people.fas.harvard.edu/%7Ejgrimmer/gill_hangartner_IQSS.pdf> The applied statistics workshop meets at 12 noon in room N-354 of CGIS-Knafel (1737 Cambridge St), with a light lunch served. The presentations begin around 1215 and conclude at about 130 pm. Please send me any questions or comments Cheers Justin

16 years

Lee Fleming on "Mobility, Skills, and the Michigan Noncompete Experiment"

by Justin Grimmer

Dear Applied Statistics Workshop, Please join us at the applied statistics workshop this Wednesday when Lee Fleming, Harvard Business School, will present "Mobility, Skills, and the Michigan Noncompete Experiment". Lee provided the following abstract: While prior research has considered the desirability and implications of employee mobility, less research has considered factors affecting the ease of mobility. This paper explores a legal constraint on mobility —employee noncompete agreements—by exploiting Michigan's apparently-inadvertent 1985 reversal of its enforcement policy as a natural experiment. Using a differences-in-differences approach, and controlling for changes in the auto industry central to Michigan's economy, we find that the enforcement of noncompetes indeed attenuates mobility. Moreover, noncompete enforcement decreases mobility most sharply for inventors with firm-specific skills, and for those who specialize in narrow technical fields. The results speak to the literature on mobility constraints while offering a credibly exogenous source of variation that can extend previous research. The paper for the talk is available here<http://people.fas.harvard.edu/%7Ejgrimmer/michigan_experiment2.0.pdf> The applied statistics workshop meets at 12 noon in room N-354, CGIS-Knafel (1737 Cambridge St) with a light lunch. Presentations usually begin around 1215 and usually run until about 130 pm. Please contact me with any questions Cheers, Justin Grimmer

16 years

Lok on "Optimal start of treatment based on time-dependent covariates"

by Justin Grimmer

Dear Applied Statistics Community, Please join us this Wednesday (tomorrow) when Judith J. Lok, Harvard School of Public Health, Department of Biostatistics, will present " Optimal start of treatment based on time-dependent covariates". Judith provided the following abstract for her talk: Using observational data, we estimate the effects of treatment regimes that start treatment once a covariate, X, drops below a certain level, x. This type of analysis is difficult to carry out using experimental data, because the number of possible values of x may be large. In addition, we estimate the optimal value of x, which maximizes the expected value of the outcome of interest within the class of treatment regimes studied in this paper. Our identifying assumption is that there are no unmeasured confounders. We illustrate our methods using the French Hospital Database on HIV. The best moment to start Highly Active AntiRetroviral Therapy (HAART) in HIV positive patients is unknown. It may be the case that withholding HAART in the beginning is beneficial, because it postpones the time patients develop drug resistance, and hence might improve the patients' long term prognosis. However, it is unknown how long initiation of HAART can safely be postponed. The paper for the talk can be found here <http://people.fas.harvard.edu/%7Ejgrimmer/lok.pdf> The applied statistics workshop meets at 12 noon in room N 354, CGIS Knafel (1737 Cambridge Street) with a light lunch. At 1215 the presentation will begin and usually runs until 130 pm. If you have any questions, please let me know-- Cheers, Justin

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gov3009-l April 2008