andrew_gelman_stats andrew_gelman_stats-2013 andrew_gelman_stats-2013-2047 knowledge-graph by maker-knowledge-mining
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Introduction: The Division of Biostatistics and Epidemiology at Weill Medical College of Cornell University invite applications for a post-doctoral fellow position in Biostatistics. We are seeking a highly motivated individual to develop novel statistical methods for missing data imputation and applications in health disparities research using national administrative data, with funding from Agency of Healthcare Research and Quality. The candidate will be jointly mentored by Dr. Yan Ma (PI of the grant) at the Hospital for Special Surgery (HSS)/Weill Cornell Medical College (WCMC) and Dr. Andrew Gelman in the Department of Statistics at Columbia University. The candidate will also have excellent opportunities to collaborate with researchers in biostatistics, epidemiology, health disparities, and orthopedics through the Clinical and Translational Science Center at WCMC. Candidates should have a doctoral degree in Statistics or Biostatistics with strong background in Bayesian methods. Experien
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1 The Division of Biostatistics and Epidemiology at Weill Medical College of Cornell University invite applications for a post-doctoral fellow position in Biostatistics. [sent-1, score-0.411]
2 We are seeking a highly motivated individual to develop novel statistical methods for missing data imputation and applications in health disparities research using national administrative data, with funding from Agency of Healthcare Research and Quality. [sent-2, score-0.904]
3 The candidate will also have excellent opportunities to collaborate with researchers in biostatistics, epidemiology, health disparities, and orthopedics through the Clinical and Translational Science Center at WCMC. [sent-6, score-0.472]
4 Candidates should have a doctoral degree in Statistics or Biostatistics with strong background in Bayesian methods. [sent-7, score-0.095]
5 Experience with missing data, multilevel modeling, and statistical simulation is a plus. [sent-8, score-0.162]
6 Candidates should e-mail their curriculum vita, the names of three references, and a letter summarizing their experience and interests to the following address. [sent-10, score-0.36]
7 The salary for this position is competitive and will be based on the successful candidate’s experience and background. [sent-11, score-0.435]
8 Review will begin immediately and continue until the position is filled. [sent-12, score-0.218]
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same-blog 1 1.0000001 2047 andrew gelman stats-2013-10-02-Bayes alert! Cool postdoc position here on missing data imputation and applications in health disparities research!
Introduction: The Division of Biostatistics and Epidemiology at Weill Medical College of Cornell University invite applications for a post-doctoral fellow position in Biostatistics. We are seeking a highly motivated individual to develop novel statistical methods for missing data imputation and applications in health disparities research using national administrative data, with funding from Agency of Healthcare Research and Quality. The candidate will be jointly mentored by Dr. Yan Ma (PI of the grant) at the Hospital for Special Surgery (HSS)/Weill Cornell Medical College (WCMC) and Dr. Andrew Gelman in the Department of Statistics at Columbia University. The candidate will also have excellent opportunities to collaborate with researchers in biostatistics, epidemiology, health disparities, and orthopedics through the Clinical and Translational Science Center at WCMC. Candidates should have a doctoral degree in Statistics or Biostatistics with strong background in Bayesian methods. Experien
Introduction: Liz Stuart sends this one along: Johns Hopkins University Post-Doctoral Fellow Opening The Department of Mental Health invites applications for a post-doctoral research fellow in Statistical Methods for Mental Health Research, to be supervised by Dr. Elizabeth Stuart. The successful applicant for this position will work on an NIH funded study to develop and evaluate propensity score methods when the covariates are measured with error, or when datasets contain similar, but not identical, measures of covariates of interest. The post-doc will work with a team of researchers on development of new statistical methods, analysis of existing data, Monte Carlo simulations, and will take the lead on scientific publications. Opportunities will be provided for training in causal inference, missing data, latent variable methods, the evaluation of statistical methods, and the application of statistics to mental health and education. The three particular motivating examples will be: earl
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Introduction: See below for the job announcement. It’s for Teachers College, which is about 2 blocks from the statistics department and 2 blocks from the political science department. So even though I don’t have any official connection with Teachers College (besides occasionally working with them on research projects), I very much would like to have another exciting young applied researcher here, to complement all the people we currently have in stat, poli sci, engineering, etc. In particular, we have zillions of interesting and important social science research projects going on here, and they all need statistics work. A lot of social scientists do statistics, but it’s not so easy to find a statistician who does serious social science research. All this is to say that I hope this job gets some applicants from some people who are serious about applied statistics and the development of new models and methods. Teachers College, Columbia University Department of Human Development APPLIE
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Introduction: The Division of Biostatistics and Epidemiology at Weill Medical College of Cornell University invite applications for a post-doctoral fellow position in Biostatistics. We are seeking a highly motivated individual to develop novel statistical methods for missing data imputation and applications in health disparities research using national administrative data, with funding from Agency of Healthcare Research and Quality. The candidate will be jointly mentored by Dr. Yan Ma (PI of the grant) at the Hospital for Special Surgery (HSS)/Weill Cornell Medical College (WCMC) and Dr. Andrew Gelman in the Department of Statistics at Columbia University. The candidate will also have excellent opportunities to collaborate with researchers in biostatistics, epidemiology, health disparities, and orthopedics through the Clinical and Translational Science Center at WCMC. Candidates should have a doctoral degree in Statistics or Biostatistics with strong background in Bayesian methods. Experien
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Introduction: David Ebert sends this along: Purdue University School of ECE Faculty Position in Human-Centered Computing The School of Electrical and Computer Engineering at Purdue University invites applications for a faculty position at any level in human-centered computing, including but not limited to visualization, visual analytics, human-computer interaction (HCI), imaging, and graphics. . . . Applications should consist of a cover letter, a CV, research and teaching statements, names and contact information for at least three references, and URLs for three to five online papers. . . . We will consider applications through March 2013. It’s great to see this sort of thing. P.S. Amusingly enough, the Purdue Visualization and Analytics Center has an ugly, bureaucratic, text-heavy webpage . Not that I’m one to talk, the Columbia stat dept has an ugly webpage too (although I think we’ll be switching soon to something better).
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Introduction: Alex Tabarrok with a good catch : In Why Don’t Women Patent? , a recent NBER paper, Jennifer Hunt et al. [Jean-Philippe Garant, Hannah Herman, and David Munroe] present a stark fact: Only 5.5% of the holders of commercialized patents are women. One might think that this is explained by the relative lack of women with science and engineering degrees but Hunt et al. find that “women with such a degree are scarcely more likely to patent than women without.” Instead, most of the difference is “accounted for by differences among those with a science or engineering degree” especially the fact that women are underrepresented in patent-intensive fields such as electrical and mechanical engineering and in development and design. Predictably, the authors do not ask why women might self-selection into non patent-intensive fields, perhaps because this would require at least a discussion of politically incorrect questions . The failure to investigate these questions leads to some dubious co
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