Blog Archives

Meta-analysis methods when studies are not normally distributed

June 10, 2014
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Meta-analysis methods when studies are not normally distributed

Yesterday I was reading Kontopantelis & Reeves’s 2010 paper “Performance of statistical methods for meta-analysis when true study effects are non-normally distributed: A simulation study“, which compares fixed-effects and a variety of random effects models under the (entirely realistic) situation … Continue reading →

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Stats in bed, part 1: Ubuntu Touch

April 25, 2014
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Stats in bed, part 1: Ubuntu Touch

Round at the RSS Statistical Computing committee, we were having a chuckle at the prospect of a meeting about Stats In Bed. By which I mean analysis on mobile devices, phones and tablets (henceforth phablets), not some sort of raunchy … Continue reading →

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Beeps and progress alerts to your phone

April 9, 2014
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Beeps and progress alerts to your phone

Recently I encountered an R package called pingr, made by Rasmus Bååth (the same guy who did MCMC in a web page, my visualization of 2013). You install it, you type ping(), and it goes ping. Nice. In fact there … Continue reading →

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Data detective work: work out the numerator or denominator given a percentage

April 7, 2014
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Data detective work: work out the numerator or denominator given a percentage

Here’s some fun I had today. If you are looking at some published stats and they tell you a percentage but not the numerator & denominator, you can still work them out. That’s to say, you can get your computer … Continue reading →

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A simple R bootstrap function for beginners

March 5, 2014
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A simple R bootstrap function for beginners

I teach some introductory stats classes with SPSS, and one of the frustrations for me is that you have to pay an extra wad of cash to do any bootstrapping. It’s not exactly the complete analysis solution that you might … Continue reading →

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Visualizations on the Monopoly board

March 4, 2014
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Visualizations on the Monopoly board

Two items of post from utility companies that recently dropped through our door included little graphics. There was a degree of innovation in them both. The first, from British Gas, is technically OK but probably bad on perceptual grounds: I got … Continue reading →

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Need to do a simulation study on a Bayesian model? Use Stan.

January 31, 2014
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Need to do a simulation study on a Bayesian model? Use Stan.

I’ve been looking into a particular Bayesian meta-analysis model of late. Can’t tell you any more right now of course, but I wanted to check that it was throwing up sensible results and then compare it to classical MA methods. … Continue reading →

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How to convert odds ratios to relative risks

January 27, 2014
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How to convert odds ratios to relative risks

My short paper on this came out on Friday in the British Medical Journal. The aim is to help both authors and readers of research make sense of this rather confusing but unavoidable statistic, the odds ratio (OR). The fundamental … Continue reading →

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A room full of Julians

January 22, 2014
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A room full of Julians

Despite winter rain, I was delighted to head uptown last week to Skills Matter on the old Goswell Road for the first ever London Julia meetup. The first thing I learnt was that Julia’s friends are called Julians. If you … Continue reading →

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Giving R the strengths of Stata

December 19, 2013
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Giving R the strengths of Stata

This is not a partisan post that extols the virtues of one software package over another. I love Stata and R and use them both all the time. They each have strengths and weaknesses and if I could only take … Continue reading →

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