Posts Tagged ‘ Statistical Graphics ’

Create a waterfall plot in SAS

April 20, 2015
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Create a waterfall plot in SAS

In clinical trials, a waterfall plot is often used to indicate how patients in the study responded to treatment. In oncology trials, the response variable might be the percent change in the size of a tumor from the individual's baseline value at the start of the trial. The percent change […] The post Create a waterfall plot in SAS appeared first on The DO Loop.

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Go to PredictWise for forecast probabilities of events in the news

April 19, 2015
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Go to PredictWise for forecast probabilities of events in the news

I like it. Clear, transparent, no mumbo jumbo about their secret sauce. But . . . what’s with the hyper-precision: C’mon. “27.4%”? Who are you kidding?? (See here for explication of this point.) The post Go to PredictWise ...

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“For better or for worse, academics are fascinated by academic rankings . . .”

April 14, 2015
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I was asked to comment on a forthcoming article, “Statistical Modeling of Citation Exchange Among Statistics Journals,” by Christiano Varin, Manuela Cattelan and David Firth. Here’s what I wrote: For better or for worse, academics are fascinated by academic rankings, perhaps because most of us reached our present positions through a series of tournaments, starting […] The post “For better or for worse, academics are fascinated by academic rankings .…

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“Another bad chart for you to criticize”

April 12, 2015
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“Another bad chart for you to criticize”

Perhaps in response to my lament, “People used to send me ugly graphs, now I get these things,” Stuart Buck sends me an email with the above comment and a link to this “Graphic of the day” produced by some uncredited designer at Thomson Reuters: From a statistical perspective, this graph is a disaster in […] The post “Another bad chart for you to criticize” appeared first on Statistical Modeling,…

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Summer Internship at Novartis: Stan PK/PD Modeling

April 11, 2015
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Summer Internship at Novartis:  Stan PK/PD Modeling

This looks like a great way to spend a summer: Summer Internship at Novartis Integrated Quantitative Sciences Here’s the job description: Bayesian modeling tools with Stan: Create re-usable tools for the Bayesian modeling of pharmacometrics data that can integrate diverse data sources (including pre-clinical, in-silico model predictions, etc.). Using the latest Stan’s facilities (http://mc-stan.org) develop […] The post Summer Internship at Novartis: Stan PK/PD Modeling appeared first on Statistical Modeling,…

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Visualizing the causes of airline crashes

March 30, 2015
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Visualizing the causes of airline crashes

There has been a spate of recent high-profile airline crashes (Malaysia Airlines, TransAsia Airways, Germanwings,...) so I was surprised when I saw a time series plot of the number of airline crashes by year, which indicates that the annual number of airline crashes has been decreasing since 1993. The data […]

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The publication of one of my pet ideas: Simulation-efficient shortest probability intervals

March 28, 2015
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In a paper to appear in Statistics and Computing, Ying Liu, Tian Zheng, and I write: Bayesian highest posterior density (HPD) intervals can be estimated directly from simulations via empirical shortest intervals. Unfortunately, these can be noisy (that is, have a high Monte Carlo error). We derive an optimal weighting strategy using bootstrap and quadratic […] The post The publication of one of my pet ideas: Simulation-efficient shortest probability intervals…

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Interactive demonstrations for linear and Gaussian process regressions

March 7, 2015
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Interactive demonstrations for linear and Gaussian process regressions

Here’s a cool interactive demo of linear regression where you can grab the data points, move them around, and see the fitted regression line changing. There are various such apps around, but this one is particularly clean: (I’d like to credit the creator but I can’t find any attribution at the link, except that it’s […] The post Interactive demonstrations for linear and Gaussian process regressions appeared first on Statistical…

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Defaults, once set, are hard to change.

March 5, 2015
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So. Farewell then Rainbow color scheme. You reigned in Matlab Far too long. But now that You are no longer The default, Will we miss you? We can only Visualize. E. T. Thribb (17 1/2) Here’s the background.  Brad Stiritz writes: I know you’re a creator and big proponent of open-source tools. Given your strong interest […] The post Defaults, once set, are hard to change. appeared first on Statistical Modeling,…

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Introducing shinyStan

March 2, 2015
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Introducing shinyStan

As a project for Andrew’s Statistical Communication and Graphics graduate course at Columbia, a few of us (Michael Andreae, Yuanjun Gao, Dongying Song, and I) had the goal of giving RStan’s print and plot functions a makeover. We ended up getting a bit carried away and instead we designed a graphical user interface for interactively exploring virtually […] The post Introducing shinyStan appeared first on Statistical Modeling, Causal Inference, and Social Science.

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