andrew_gelman_stats andrew_gelman_stats-2011 andrew_gelman_stats-2011-1045 knowledge-graph by maker-knowledge-mining
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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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1 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. [sent-1, score-0.959]
2 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. [sent-9, score-0.794]
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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: Douglas Anderton informed us that, in a Linux system, you can’t call OpenBugs from R using bugs() from the R2Winbugs package. Instead, you should call Jags using jags() from the R2jags package. P.S. Not the Rotter’s Club guy.
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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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same-blog 1 0.86464763 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: Julyan Arbel plots world record running times vs. distance (on the log-log scale): The line has a slope of 1.1. I think it would be clearer to plot speed vs. distance—then you’d get a slope of -0.1, and the numbers would be more directly interpretable. Indeed, this paper by Sandra Savaglio and Vincenzo Carbone (referred to in the comments on Julyan’s blog) plots speed vs. time. Graphing by speed gives more resolution: The upper-left graph in the grid corresponds to the human running records plotted by Arbel. It’s funny that Arbel sees only one line whereas Savaglio and Carbone see two—but if you remove the 100m record at one end and the 100km at the other end, you can see two lines in Arbel’s graph as well. The bottom two graphs show swimming records. Knut would probably have something to say about all this.
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Introduction: Colleen Ganley, Leigh Mingle, Allison Ryan, Katherine Ryan, Marian Vasilyeva, and Michelle Perry write : Stereotype threat has been proposed as 1 potential explanation for the gender difference in standardized mathematics test performance among high-performing students. At present, it is not entirely clear how susceptibility to stereotype threat develops, as empirical evidence for stereotype threat effects across the school years is inconsistent. In a series of 3 studies, with a total sample of 931 students, we investigated stereotype threat effects during childhood and adolescence. Three activation methods were used, ranging from implicit to explicit. Across studies, we found no evidence that the mathematics performance of school-age girls was impacted by stereotype threat. In 2 of the studies, there were gender differences on the mathematics assessment regardless of whether stereotype threat was activated. Potential reasons for these findings are discussed, including the possibil
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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.
5 0.71962827 933 andrew gelman stats-2011-09-30-More bad news: The (mis)reporting of statistical results in psychology journals
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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