andrew_gelman_stats andrew_gelman_stats-2010 andrew_gelman_stats-2010-267 knowledge-graph by maker-knowledge-mining
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Introduction: We’re doing a new thing here at the Applied Statistics Center, throwing monthly Friday afternoon mini-conferences in the Playroom (inspired by our successful miniconference on statistical consulting a couple years ago). This Friday (10 Sept), 1-5pm : Come join us this Friday, September 10th for an engaging interdisciplinary discussion of risk perception at the individual and societal level, and the role it plays in current environmental, social, and health policy debates. All are welcome! “Risk Perception in Environmental Decision-Making” Elke Weber, Columbia Business School “Cultural Cognition and the Problem of Science Communication” Dan Kahan, Yale Law School Discussants include: Michael Gerrard, Columbia Law School David Epstein, Department of Political Science, Columbia University Andrew Gelman, Department of Statistics, Columbia University
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Introduction: We’re doing a new thing here at the Applied Statistics Center, throwing monthly Friday afternoon mini-conferences in the Playroom (inspired by our successful miniconference on statistical consulting a couple years ago). This Friday (10 Sept), 1-5pm : Come join us this Friday, September 10th for an engaging interdisciplinary discussion of risk perception at the individual and societal level, and the role it plays in current environmental, social, and health policy debates. All are welcome! “Risk Perception in Environmental Decision-Making” Elke Weber, Columbia Business School “Cultural Cognition and the Problem of Science Communication” Dan Kahan, Yale Law School Discussants include: Michael Gerrard, Columbia Law School David Epstein, Department of Political Science, Columbia University Andrew Gelman, Department of Statistics, Columbia University
Introduction: Speakers: Cyrus Samii, PhD candidate, Department of Political Science, Columbia University: “Peacebuilding Policies as Quasi-Experiments: Some Examples” Macartan Humphreys, Associate Professor, Department of Political Science, Columbia University: “Sampling in developing countries: Five challenges from the field” Friday 22 Oct, 3-5pm in the Playroom (707 International Affairs Building). Open to all.
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Introduction: We’re doing a new thing here at the Applied Statistics Center, throwing monthly Friday afternoon mini-conferences in the Playroom (inspired by our successful miniconference on statistical consulting a couple years ago). This Friday (10 Sept), 1-5pm : Come join us this Friday, September 10th for an engaging interdisciplinary discussion of risk perception at the individual and societal level, and the role it plays in current environmental, social, and health policy debates. All are welcome! “Risk Perception in Environmental Decision-Making” Elke Weber, Columbia Business School “Cultural Cognition and the Problem of Science Communication” Dan Kahan, Yale Law School Discussants include: Michael Gerrard, Columbia Law School David Epstein, Department of Political Science, Columbia University Andrew Gelman, Department of Statistics, Columbia University
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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: Postdoctoral position in statistical modeling of social networks A full-time postdoctoral position is available beginning Fall 2014 in the research group of Tian Zheng and Andrew Gelman working on statistical analysis and modeling of social network data, in close cooperation with our experimental collaborators. Four key papers of this project so far are: http://www.stat.columbia.edu/~gelman/research/published/overdisp_final.pdf http://nersp.osg.ufl.edu/~ufruss/documents/mccormick_salganik_zheng10.pdf http://www.stat.columbia.edu/~gelman/research/published/DiPreteetal.pdf http://arxiv.org/pdf/1301.2473.pdf Requirements: The work is highly interdisciplinary, and applicants must have strong statistical and computational skills. Social science research skills are preferred but not necessary. Preferred educational background is a PhD in statistics, computer science, political science, sociology, or a related field. Expertise in Bayesian modeling and computing is required. Prev
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Introduction: Andrew Gelman (Columbia University) and Jennifer Hill (New York University) seek to hire a post-doctoral fellow to work on development of iterative imputation algorithms and diagnostics for missing-data imputation. Activities would include model-development, programming, and data analysis. This project is funded by a grant from the Institute of Education Sciences. Other collaborators on the project include Jingchen Liu and Ben Goodrich. This is a two-year position that would start this summer (2011) or earlier if possible. The ideal candidate will have a statistics or computer science background, will be interested in statistical modeling, serious programming, and applications. He or she should be able to work fluently in R and should already know about hierarchical models and Bayesian inference and computation. Experience or interest in designing GUIs would be a bonus, since we are attempting to improve our GUI for missing data imputation. The successful candidate will beco
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same-blog 1 0.95959067 267 andrew gelman stats-2010-09-09-This Friday afternoon: Applied Statistics Center mini-conference on risk perception
Introduction: We’re doing a new thing here at the Applied Statistics Center, throwing monthly Friday afternoon mini-conferences in the Playroom (inspired by our successful miniconference on statistical consulting a couple years ago). This Friday (10 Sept), 1-5pm : Come join us this Friday, September 10th for an engaging interdisciplinary discussion of risk perception at the individual and societal level, and the role it plays in current environmental, social, and health policy debates. All are welcome! “Risk Perception in Environmental Decision-Making” Elke Weber, Columbia Business School “Cultural Cognition and the Problem of Science Communication” Dan Kahan, Yale Law School Discussants include: Michael Gerrard, Columbia Law School David Epstein, Department of Political Science, Columbia University Andrew Gelman, Department of Statistics, Columbia University
2 0.92333293 1045 andrew gelman stats-2011-12-07-Martyn Plummer’s Secret JAGS Blog
Introduction: Martyn Plummer , the creator of the open-source, C++, graphical-model compiler JAGS (aka “Just Another Gibbs Sampler”), runs a forum on the JAGS site that has a very similar feel to the mail-bag posts on this blog. Martyn answers general statistical computing questions (e.g., why slice sampling rather than Metropolis-Hastings?) and general modeling (e.g., why won’t my model converge with this prior?). Here’s the link to the top-level JAGS site, and to the forum: JAGS Forum JAGS Home Page The forum’s pretty active, with the stats page showing hundreds of views per day and very regular posts and answers. Martyn’s last post was today. Martyn also has a blog devoted to JAGS and other stats news: JAGS News Blog
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Introduction: Guy asks: I am analyzing an original survey of farmers in Uganda. I am hoping to use a battery of welfare proxy variables to create a single welfare index using PCA. I have quick question which I hope you can find time to address: How do you recommend treating count data? (for example # of rooms, # of chickens, # of cows, # of radios)? In my dataset these variables are highly skewed with many responses at zero (which makes taking the natural log problematic). In the case of # of cows or chickens several obs have values in the hundreds. My response: Here’s what we do in our mi package in R. We split a variable into two parts: an indicator for whether it is positive, and the positive part. That is, y = u*v. Then u is binary and can be modeled using logisitc regression, and v can be modeled on the log scale. At the end you can round to the nearest integer if you want to avoid fractional values.
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Introduction: Another entry in the growing literature on systematic flaws in the scientific research literature. This time the bad tidings come from Marjan Bakker and Jelte Wicherts, who write : Around 18% of statistical results in the psychological literature are incorrectly reported. Inconsistencies were more common in low-impact journals than in high-impact journals. Moreover, around 15% of the articles contained at least one statistical conclusion that proved, upon recalculation, to be incorrect; that is, recalculation rendered the previously significant result insignificant, or vice versa. These errors were often in line with researchers’ expectations. Their research also had a qualitative component: To obtain a better understanding of the origins of the errors made in the reporting of statistics, we contacted the authors of the articles with errors in the second study and asked them to send us the raw data. Regrettably, only 24% of the authors shared their data, despite our request
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