andrew_gelman_stats andrew_gelman_stats-2014 andrew_gelman_stats-2014-2366 knowledge-graph by maker-knowledge-mining

2366 andrew gelman stats-2014-06-09-On deck this week


meta infos for this blog

Source: html

Introduction: Mon: I hate polynomials Tues: Spring forward, fall back, drop dead? Wed: Bayes in the research conversation Thurs: The health policy innovation center: how best to move from pilot studies to large-scale practice? Fri: Stroopy names Sat: He’s not so great in math but wants to do statistics and machine learning Sun: Comparing the full model to the partial model


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1 Mon: I hate polynomials Tues: Spring forward, fall back, drop dead? [sent-1, score-0.758]

2 Wed: Bayes in the research conversation Thurs: The health policy innovation center: how best to move from pilot studies to large-scale practice? [sent-2, score-1.245]


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tfidf for this blog:

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same-blog 1 1.0000001 2366 andrew gelman stats-2014-06-09-On deck this week

Introduction: Mon: I hate polynomials Tues: Spring forward, fall back, drop dead? Wed: Bayes in the research conversation Thurs: The health policy innovation center: how best to move from pilot studies to large-scale practice? Fri: Stroopy names Sat: He’s not so great in math but wants to do statistics and machine learning Sun: Comparing the full model to the partial model

2 0.3225975 2310 andrew gelman stats-2014-04-28-On deck this week

Introduction: Mon : Crowdstorming a dataset Tues : Ken Rice presents a unifying approach to statistical inference and hypothesis testing Wed : The health policy innovation center: how best to move from pilot studies to large-scale practice? Thurs : Heller, Heller, and Gorfine on univariate and multivariate information measures Fri : Discovering general multidimensional associations Sat : “The graph clearly shows that mammography adds virtually nothing to survival and if anything, decreases survival (and increases cost and provides unnecessary treatment)” Sun : Honored oldsters write about statistics

3 0.28975284 2290 andrew gelman stats-2014-04-14-On deck this week

Introduction: Mon : Transitioning to Stan Tues : When you believe in things that you don’t understand Wed : Looking for Bayesian expertise in India, for the purpose of analysis of sarcoma trials Thurs : If you get to the point of asking, just do it. But some difficulties do arise . . . Fri : One-tailed or two-tailed? Sat : Index or indicator variables Sun : Fooled by randomness

4 0.28821123 2348 andrew gelman stats-2014-05-26-On deck this week

Introduction: Mon: WAIC and cross-validation in Stan! Tues: A whole fleet of gremlins: Looking more carefully at Richard Tol’s twice-corrected paper, “The Economic Effects of Climate Change” Wed: Just wondering Thurs: When you believe in things that you don’t understand Fri: I posted this as a comment on a sociology blog Sat: “Building on theories used to describe magnets, scientists have put together a model that captures something very different . . .” Sun: Why we hate stepwise regression

5 0.28458521 2240 andrew gelman stats-2014-03-10-On deck this week: Things people sent me

Introduction: Mon: Preregistration: what’s in it for you? Tues: What if I were to stop publishing in journals? Wed: Empirical implications of Empirical Implications of Theoretical Models Thurs: An Economist’s Guide to Visualizing Data Fri: The maximal information coefficient Sat: Problematic interpretations of confidence intervals Sun: The more you look, the more you find

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13 0.21161532 2253 andrew gelman stats-2014-03-17-On deck this week: Revisitings

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Introduction: Mon: I hate polynomials Tues: Spring forward, fall back, drop dead? Wed: Bayes in the research conversation Thurs: The health policy innovation center: how best to move from pilot studies to large-scale practice? Fri: Stroopy names Sat: He’s not so great in math but wants to do statistics and machine learning Sun: Comparing the full model to the partial model

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Introduction: Mon : The most-cited statistics papers ever Tues : American Psychological Society announces a new journal Wed : Am I too negative? Thurs : As the boldest experiment in journalism history, you admit you made a mistake Fri : The Notorious N.H.S.T. presents: Mo P-values Mo Problems Sat : Bizarre academic spam Sun : An old discussion of food deserts

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Introduction: Mon : Ticket to Baaaath Tues : Ticket to Baaaaarf Wed : Thinking of doing a list experiment? Here’s a list of reasons why you should think again Thurs : An open site for researchers to post and share papers Fri : Questions about “Too Good to Be True” Sat : Sleazy sock puppet can’t stop spamming our discussion of compressed sensing and promoting the work of Xiteng Liu Sun : White stripes and dead armadillos

4 0.85331845 2290 andrew gelman stats-2014-04-14-On deck this week

Introduction: Mon : Transitioning to Stan Tues : When you believe in things that you don’t understand Wed : Looking for Bayesian expertise in India, for the purpose of analysis of sarcoma trials Thurs : If you get to the point of asking, just do it. But some difficulties do arise . . . Fri : One-tailed or two-tailed? Sat : Index or indicator variables Sun : Fooled by randomness

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Introduction: Mon: I hate polynomials Tues: Spring forward, fall back, drop dead? Wed: Bayes in the research conversation Thurs: The health policy innovation center: how best to move from pilot studies to large-scale practice? Fri: Stroopy names Sat: He’s not so great in math but wants to do statistics and machine learning Sun: Comparing the full model to the partial model

2 0.86728132 2345 andrew gelman stats-2014-05-24-An interesting mosaic of a data programming course

Introduction: Rajit Dasgupta writes: I have been working on a website, SlideRule that in its present state, is a catalog of online courses aggregated from over 35 providers. One of the products we are building on top of this is something called Learning Paths, which are essentially a sequence of Online Courses designed to help learners gain mastery over a certain subject. We have recently released a Learning Path on Data Analysis , contributed by Claudia Gold, an early data scientist at Airbnb. We’d love it if you could look at it and tell us what you think. We are always looking for constructive feedback. I clicked through and took a look. It’s pretty cool. I haven’t tried to assess the actual teaching materials (they’re mostly about programming, not statistics) but I like how it’s structured based on pointers to existing resources, which seems like an excellent compromise between (a) someone trying to write the material all himself or herself (which would require either limiting the sco

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Introduction: A student in my intro class came by the other day with a lot of questions. It soon became clear that he was confused about a lot of things, going back several weeks in the course. What this means is that we did not do a good job of monitoring his performance earlier during the semester. But the question now is: what do do next? I’ll sign the drop form any time during the semester, but he didn’t want to drop the class (the usual scheduling issues). And he doesn’t want to get a C or a D. He’s in big trouble and at this point is basically rolling the dice that he’ll do well enough on the final to eke out a B in the course. (Yes, he goes to section meetings and office hours, and he even tried hiring a tutor. But it’s tough–if you’ve already been going to class and still don’t know what’s going on, it’s not so easy to pull yourself out of the hole, even if you have a big pile of practice problems ahead of you.) What we really need for this student, and others like him, is a road

4 0.85945022 325 andrew gelman stats-2010-10-07-Fitting discrete-data regression models in social science

Introduction: My lecture for Greg’s class today (taken from chapters 5-6 of ARM). Also, after class we talked a bit more about formal modeling. If I have time I’ll post some of that discussion here.

5 0.85680234 2144 andrew gelman stats-2013-12-23-I hate this stuff

Introduction: Aki pointed me to this article . I’m too exhausted to argue all this in detail yet one more time, but let me just say that I hate this stuff for the reasons given in Section 5 of this paper from 1998 (based on classroom activities from 1994). I’ve hated this stuff for a long time. And I don’t think Yitzhak likes it either; see this discussion from 2005 and this from 2009.

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