gov3009-l December 2002

gov3009-l@lists.fas.harvard.edu

1 participants
2 discussions

Nonignorable Dropout in Longitudinal Clinical Trials

by Anders Schwartz Corr

"Handling Nonignorable Dropout in Longitudinal Clinical Trials" Garrett Fitzmaurice (School of Public Health, Harvard University) Wednesday December 11 at noon Center for Basic Research in the Social Sciences 34 Kirkland Street, Room 22 Lunch will be served. Abstract: In this talk we give an introduction to two common approaches to handling nonignorable dropout in longitudinal clinical trials based on selection and pattern mixture models. Some of the distinct advantages and disadvantages of selection and pattern mixture models are reviewed and highlighted. An example, based on data from a clinical trial of contracepting women, is used to illustrate some of the main ideas. There is no paper available, however a related paper by the presenter, "Methods for Handling Dropouts in Longitudinal Clinical Trials" can be accessed at: www.courses.fas.harvard.edu/~gov3009/handouts/dropouts.pdf The Research Workshop in Applied Statistics is a year-long forum for graduate students, faculty, and visiting scholars to present and discuss statistical innovations and applications in the social sciences. The Fitzmaurice talk is the final presentation of the Fall 2002 semester. The first talk of the Spring 2003 semester, "Enhancing the Validity and Cross-Cultural Comparability of Survey Research" will be given on January 29 by Gary King (Government, Harvard University). For more information or to subscribe to the permanent workshop list, email corr(a)fas.harvard.edu.

21 years, 4 months

Trade and Inequality in China: a Bayesian Hierarchical Framework

by Anders Schwartz Corr

Trade and Inequality in China: a Bayesian Hierarchical Framework. Tao Li (Government Department, Harvard University). Wednesday December 4 at noon Center for Basic Research in the Social Sciences 34 Kirkland Street, Room 22 Lunch will be served. Abstract: A Bayesian hierarchical framework is fitted to panel data on Chinese trade and income inequality to test whether trade has contributed to the reduction of rural-urban income inequality in China. The Bayesian hierarchical framework proves useful for studying the large regional variability within China. The preliminary results are reported and compared with alternative econometric models. This presentation will be a working session, with no paper available. The Research Workshop in Applied Statistics is a year-long forum for graduate students, faculty, and visiting scholars to present and discuss statistical innovations and applications in the social sciences. For more information or to subscribe to the permanent workshop list, email corr(a)fas.harvard.edu.

21 years, 4 months

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gov3009-l December 2002