Posts Tagged ‘ Causal Inference ’

Causal Inference in Health, Economic and Social Sciences

April 14, 2014
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The programme of the forthcoming UK Causal Inference Meeting "Causal Inference in Health, Economic and Social Sciences" is just out. The short conference will be at the end of the month (28th and 29th of April) at the University of Cambridge.I ind...

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Seven (a-day)

April 6, 2014
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Seven (a-day)

This week (among other things, including my Vespa breaking down twice in three days) I was busy taking part in an interview panel for a research associate position, together with colleagues in the Medical School at UCL.One of the questions we...

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Adjudicating between alternative interpretations of a statistical interaction?

March 30, 2014
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Jacob Felson writes: Say we have a statistically significant interaction in non-experimental data between two continuous predictors, X and Z and it is unclear which variable is primarily a cause and which variable is primarily a moderator. One person might find it more plausible to think of X as a cause and Z as a […]The post Adjudicating between alternative interpretations of a statistical interaction? appeared first on Statistical Modeling,…

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References (with code) for Bayesian hierarchical (multilevel) modeling and structural equation modeling

March 29, 2014
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A student writes: I am new to Bayesian methods. While I am reading your book, I have some questions for you. I am interested in doing Bayesian hierarchical (multi-level) linear regression (e.g., random-intercept model) and Bayesian structural equation modeling (SEM)—for causality. Do you happen to know if I could find some articles, where authors could […]The post References (with code) for Bayesian hierarchical (multilevel) modeling and structural equation modeling appeared…

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New research journal on observational studies

March 26, 2014
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Dylan Small writes: I am starting an observational studies journal that aims to publish papers on all aspects of observational studies, including study protocols for observational studies, methodologies for observational studies, descriptions of data sets for observational studies, software for observational studies and analyses of observational studies. One of the goals of the journal is […]The post New research journal on observational studies appeared first on Statistical Modeling, Causal Inference,…

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In the best alternative histories, the real world is what’s ultimately real

March 17, 2014
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This amusing-yet-so-true video directed by Eléonore Pourriat shows a sex-role-reversed world where women are in charge and men don’t get taken seriously. It’s convincing and affecting, but the twist that interests me comes at the end, when the real world returns. It’s really creepy. And this in turn reminds me of something we discussed here […]The post In the best alternative histories, the real world is what’s ultimately real appeared…

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Man at work(-ish)

March 10, 2014
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Man at work(-ish)

Perhaps one could argue that the obvious, manly activity to do at the weekend when you're home alone is to put and organise stuff in the garage. Well, I was home alone last weekend and my very own version of this was to arxiv the first p...

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“Edlin’s rule” for routinely scaling down published estimates

February 24, 2014
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A few months ago I reacted (see further discussion in comments here) to a recent study on early childhood intervention, in which researchers Paul Gertler, James Heckman, Rodrigo Pinto, Arianna Zanolini, Christel Vermeerch, Susan Walker, Susan M. Chang, and Sally Grantham-McGregor estimated that a particular intervention on young children had raised incomes on young adults […]The post “Edlin’s rule” for routinely scaling down published estimates appeared first on Statistical Modeling,…

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More statins for everybody!

February 15, 2014
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More statins for everybody!

The National Institute for Health and Care Excellence (NICE) says in draft guidance which now goes out to consultation that the threshold for GPs to prescribe statins to their patients should halved from the current value of a ...

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My talks in Bristol this Wed and London this Thurs

February 11, 2014
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1. Causality and statistical learning (Wed 12 Feb 2014, 16:00, at University of Bristol): Causal inference is central to the social and biomedical sciences. There are unresolved debates about the meaning of causality and the methods that should be used to measure it. As a statistician, I am trained to say that randomized experiments are […]The post My talks in Bristol this Wed and London this Thurs appeared first on…

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