3580 search results for "gis"

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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Expected overestimation of Cohen’s d under publication bias

January 27, 2014
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Expected overestimation of Cohen’s d under publication bias

Earlier this week I read this article about “Why Publishing Everything Is More Effective than Selective Publishing of Statistically Significant Results” by Mercal et al (2014). The authors simulated different meta-analytic scenarios and came to the conclusion that publishing everything is more effective for the scientific collective. This got me thinking about...

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Expected overestimation of Cohen’s d under publication bias

January 27, 2014
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Expected overestimation of Cohen’s d under publication bias

In this post I will use the theoretical and empirical sampling distribution of Cohen's d to show the expected overestimation due to selective publishing. I will look at the overestimation for various sample sizes when the population effect is 0, 0.2, 0.5 and 0.8. The conclusion is that you should be weary of effect sizes from small samples, and...

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Accurate imputation and valid statistical inference with ensemble

January 25, 2014
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Accurate imputation and valid statistical inference with ensemble

Imputation is predictive inference and not causal inference! I have met many people, who consider the two are equivalent. Their reasoning is based on the belief that if you can produce a model which replicate the data generating...

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An updated look at the #code2013 language rankings

January 25, 2014
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An updated look at the #code2013 language rankings

A few weeks ago I compared the #code2013 rankings from twitter to TIOBE's rankings although when I had collected the #code2013 data people were still chiming in, albeit at a slowing pace. As I would visually scan the new tweets it seemed like...

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Demo this Wednesday: Drag-and-drop to create R-based workflows

January 24, 2014
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Demo this Wednesday: Drag-and-drop to create R-based workflows

Want to see how you can use a drag-and-drop user interface to run and share R code? Check out our webinar next Wednesday January 29 (hosted by Alteryx and Revolution Analytics): Creating Value That Scales with Revolution Analytics & Alteryx. In the webinar, Dan Putler (Alteryx's Data Artisan in Residence) will demonstrate the Alteryx drag-and-drop Alteryx GUI, which provides...

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What’s Warren Buffett’s $1 Billion Basketball Bet Worth?

January 22, 2014
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What’s Warren Buffett’s $1 Billion Basketball Bet Worth?

A friend of mine just alerted me to a story on NPR describing a prize on offer from Warren Buffett and Quicken Loans. The prize is a billion dollars (1B USD) for correctly predicting all 63 games in the men’s Division I college basketball tournament this March. The facebook page announcing the contest puts the odds at 1:9,223,372,036,854,775,808,

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How to create a geojson in R

January 22, 2014
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This is a short but sweet post on how to create a geojson file in R .  Remember that you can render geojson files in github.   The post How to create a geojson in R appeared first on Jose Gonzalez.

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Using One Programming Language In the Context of Another – Python and R

January 22, 2014
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Using One Programming Language In the Context of Another – Python and R

Over the last couple of years, I’ve settled into using R an python as my languages of choice for doing stuff: R, because RStudio is a nice environment, I can blend code and text using R markdown and knitr, ggplot2 and Rcharts make generating graphics easy, and reshapers such as plyr make wrangling with data

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A brief foray into parallel processing with R

January 21, 2014
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A brief foray into parallel processing with R

I’ve recently been dabbling with parallel processing in R and have found the foreach package to be a useful approach to increasing efficiency of loops. To date, I haven’t had much of a need for these tools but I’ve started working with large datasets that can be cumbersome to manage. My first introduction to parallel

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