andrew_gelman_stats andrew_gelman_stats-2010 andrew_gelman_stats-2010-455 knowledge-graph by maker-knowledge-mining
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Introduction: Aleks points me to this research summary from Dan Goldstein. Good stuff. I’ve heard of a lot of this–I actually use some of it in my intro statistics course, when we show the students how they can express probability trees using frequencies–but it’s good to see it all in one place.
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1 Aleks points me to this research summary from Dan Goldstein. [sent-1, score-0.45]
2 I’ve heard of a lot of this–I actually use some of it in my intro statistics course, when we show the students how they can express probability trees using frequencies–but it’s good to see it all in one place. [sent-3, score-2.492]
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Introduction: Aleks points me to this research summary from Dan Goldstein. Good stuff. I’ve heard of a lot of this–I actually use some of it in my intro statistics course, when we show the students how they can express probability trees using frequencies–but it’s good to see it all in one place.
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Introduction: Aleks points me to this research summary from Dan Goldstein. Good stuff. I’ve heard of a lot of this–I actually use some of it in my intro statistics course, when we show the students how they can express probability trees using frequencies–but it’s good to see it all in one place.
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Introduction: Aleks pointed me to this .
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Introduction: Gregory Eady writes: I’m working on a paper examining the effect of superpower alliance on a binary DV (war). I hypothesize that the size of the effect is much higher during the Cold War than it is afterwards. I’m going to run a Chow test to check whether this effect differs significantly between 1960-1989 and 1990-2007 (Scott Long also has a method using predicted probabilities), but I’d also like to show the trend graphically, and thought that your “Secret Weapon” would be useful here. I wonder if there is anything I should be concerned about when doing this with a (rare-events) logistic regression. I was thinking to graph the coefficients in 5-year periods, moving a single year at a time (1960-64, 1961-65, 1962-66, and so on), reporting the coefficient in the graph for the middle year of each 5-year range). My reply: I don’t know nuthin bout no Chow test but, sure, I’d think the secret weapon would work. If you’re analyzing 5-year periods, it might be cleaner just to keep t
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Introduction: Gerrit Storms reports on an interesting linguistic research project in which you can participate! Here’s the description: Over the past few weeks, we have been trying to set up a scientific study that is important for many researchers interested in words, word meaning, semantics, and cognitive science in general. It is a huge word association project, in which people are asked to participate in a small task that doesn’t last longer than 5 minutes. Our goal is to build a global word association network that contains connections between about 40,000 words, the size of the lexicon of an average adult. Setting up such a network might learn us a lot about semantic memory, how it develops, and maybe also about how it can deteriorate (like in Alzheimer’s disease). Most people enjoy doing the task, but we need thousands of participants to succeed. Up till today, we found about 53,000 participants willing to do the little task, but we need more subjects. That is why we address you. Would
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Introduction: Joe Fruehwald writes: I’m working with linguistic data, specifically binomial hits and misses of a certain variable for certain words (specifically whether or not the “t” sound was pronounced at the end of words like “soft”). Word frequency follows a power law, with most words appearing just once, and with some words being hyperfrequent. I’m not interested in specific word effects, but I am interested in the effect of word frequency. A logistic model fit is going to be heavily influenced by the effect of the hyperfrequent words which constitute only one type. To control for the item effect, I would fit a multilevel model with a random intercept by word, but like I said, most of the words appear only once. Is there a principled approach to this problem? My response: It’s ok to fit a multilevel model even if most groups only have one observation each. You’ll want to throw in some word-level predictors too. Think of the multilevel model not as a substitute for the usual thoug
Introduction: From 2.5 years ago . Read all the comments; the discussion is helpful.
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Introduction: I received the following email from someone who wishes to remain anonymous: My colleague and I are trying to understand the best way to approach a problem involving measuring a group of individuals’ abilities across time, and are hoping you can offer some guidance. We are trying to analyze the combined effect of two distinct groups of people (A and B, with no overlap between A and B) who collaborate to produce a binary outcome, using a mixed logistic regression along the lines of the following. Outcome ~ (1 | A) + (1 | B) + Other variables What we’re interested in testing was whether the observed A random effects in period 1 are predictive of the A random effects in the following period 2. Our idea being create two models, each using a different period’s worth of data, to create two sets of A coefficients, then observe the relationship between the two. If the A’s have a persistent ability across periods, the coefficients should be correlated or show a linear-ish relationshi
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