2159 search results for "Regression"

“Vignettes” Update

July 14, 2014
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“Vignettes” Update

As a follow-up to my post about major changes to FSA and that some of the “old” vignettes are now out-of-date, here is a brief summary of new material in the draft book chapters (linked to below) that replaced the … Continue reading →

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Using bootMer to do model comparison in R

July 13, 2014
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Using bootMer to do model comparison in R

Setting the right random effect part in mixed effect models can be tricky in many applied situation. I will not talk here about choosing wether a grouping variable (sites, individuals …) should be included as a fixed term or as a random term, please see Gelman and Hill (2006) and Zuur et al (2009) for

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Stone Flakes V, networks again

July 6, 2014
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Stone Flakes V, networks again

Last week I tried pcalg. This week deal (Learning Bayesian Networks with Mixed Variables). The aim n this post I want to try something new, a causal graphical model. The aim here is just as much to get myself a feel what these things do as to underst...

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Automatic bias correction doesn’t fix omitted variable bias

July 4, 2014
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Automatic bias correction doesn’t fix omitted variable bias

Page 94 of Gelman, Carlin, Stern, Dunson, Vehtari, Rubin “Bayesian Data Analysis” 3rd Edition (which we will call BDA3) provides a great example of what happens when common broad frequentist bias criticisms are over-applied to predictions from ordinary linear regression: the predictions appear to fall apart. BDA3 goes on to exhibit what might be considered Related posts:

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Short course: Bayesian methods in health economics

July 2, 2014
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Chris, Richard and I tested this last March in Canada (see also here) and things seem to have gone quite well. So we have decided to replicate the experiment (so that we can get a bigger sample size!) and do the short course this coming November (...

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2014 UseR conference, days 1-2

July 2, 2014
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2014 UseR conference, days 1-2

I’m at UCLA for the UseR Conference. I attended once before, and I really enjoyed it. And I’m really enjoying this one. I’m learning a ton, and I find the talks very inspiring. In my comments below, I give short shrift to some speakers (largely by not having attended their talks), and I’m critical in

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How To: 20 Minute Guide to Get Started with PivotalR

July 1, 2014
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How To: 20 Minute Guide to Get Started with PivotalR

In this article, Pivotal engineer and predictive analytics expert Hai Qian explains how someone new to R can get started performing statistical analysis on data stores in Greenplum Database, Pivotal HD and PostgreSQL in just 20 minutes using PivotalR. First, there is some background on R’s popularity, then the articles dives into important topics such as installation, data loading,...

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Modern Applied Statistics in R’lyeh

June 30, 2014
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Modern Applied Statistics in R’lyeh

So you've probably heard of King James Programming; if not, you should check it out because it's great. A quick summary is that someone took the King James Bible and Sussman's Structure and Interpretation of Computer Programs (SICP) and used an n-gram babbler to generate new sentences that combine the texts in amusing ways. The generator itself is a...

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Example 2014.8: Estimate power for an interaction, by simulation

June 30, 2014
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Example 2014.8: Estimate power for an interaction, by simulation

In our last entry, we demonstrated how to simulate data from a logistic regression with an interaction between a dichotomous and a continuous covariate. In this entry we show how to use the simulation to estimate the power to detect that interaction. ...

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stone flakes IV

June 29, 2014
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stone flakes IV

In this post I want to try something new, a causal graphical model. The aim here is just as much to get myself a feel what these things do as to understand how the stone flakes data fit together. DataData are stone flakes data which I analyzed previous...

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