Dear all,
The next seminar in our series of statistics talks for people interested in quantitative methods in biology and medicine will take place on Thursday 7 April 2016 at 11h00, in the Salle Delachaux (Biopôle 2, first floor, Route de la Corniche 10, 1010 Lausanne, M2: Vennes).
The speaker will be Prof. Michael Lechner from the Department of Economics, University of St. Gallen, Switzerland.
Title: The finite sample performance of inference methods for propensity score matching and weighting estimators
Abstract: This paper investigates the finite sample properties of a range of inference methods for propensity score-based matching and weighting estimators frequently applied to evaluate the average treatment effect on the treated. We analyze both asymptotic approximations and bootstrap methods for computing variances and confidence intervals in our simulation design, which is based on large scale labor market data from Germany and varies with respect to treatment selectivity, effect heterogeneity, the share of treated, and the sample size. The results suggest that in general, the bootstrap procedures dominate the asymptotic ones in terms of size and power for both matching and weighting estimators. Furthermore, the results are qualitatively quite robust across the various simulation features.
Hope to see you there!
Valentin
(for the organizers: Jérôme Goudet, Valentin Rousson, Frédéric Schütz)
CHUV
centre hospitalier universitaire vaudois
Valentin ROUSSON - Professeur mathematicien/statisticien
Département universitaire de medecine et santé communautaires (DUMSC)
Médecine sociale et préventive (IUMSP)
Biostatistique et méthodes quantitatives
+41 (0)21 314 73 28 TEL
Valentin.Rousson(a)chuv.ch<mailto:Valentin.Rousson@chuv.ch>
www.chuv.ch<http://www.chuv.ch/>
Dear all,
The next seminar in our series of statistics talks for people interested in quantitative methods in biology and medicine will take place on Thursday 24 March 2016. Exceptionally, it will take place at 15h00, in the room C4 at the level -1 from the Biopôle 1 (Route de la Corniche 2, 1066 Epalinges, M2 stop: Les Croisettes).
The speaker will be Prof. Martin Huber from the Department of Economics, University of Fribourg, Switzerland.
Title: Endogeneity and non-response bias in treatment evaluation - nonparametric identification of causal effects by instruments
Abstract: This paper proposes a nonparametric method for evaluating treatment effects in the presence of both treatment endogeneity and attrition/non-response bias, using two instrumental variables. Making use of a discrete instrument for the treatment and a continuous instrument for non-response/attrition, we identify the average treatment effect on compliers as well as the total population and suggest non- and semiparametric estimators. We apply the latter to a randomized experiment at a Swiss University in order to estimate the effect of gym training on students'self-assessed health. The treatment (gym training) and attrition are instrumented by randomized cash incentives paid out conditional on gym visits and by a cash lottery for participating in the follow-up survey, respectively.
Hope to see you there!
Valentin
(for the organizers: Jérôme Goudet, Valentin Rousson, Frédéric Schütz)
CHUV
centre hospitalier universitaire vaudois
Valentin Rousson - Division biostatistique et méthodes quantitatives
IUMSP - Institut universitaire de médecine sociale et préventive
BIO 2/2ème/103
Rte de la Corniche 10, CH - 1010 Lausanne
+41 (0)21 314 7328
valentin.rousson(a)chuv.ch
www.iumsp.ch<http://www.iumsp.ch/>
