Tag: Biostats

First Annual Survey on Management Software used in Statistical Consulting

Written by Tristan Hayes

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Online ContentStatistical Tests

Abstract: In a survey on software used to manage statistics consulting projects and billing, we received responses from 38 statistics and biostatistics departments. Of these, 31.2 % of departments reported no system for tracking projects and 34.2% reported no software in use for billing; 39.5% of departments used some combination of a REDCap/Google/Microsoft Form to capture client/project information; 8 organizations (21.1%) use… Read More

Seminar Slides | Enhancing Statistical Methods in Grants and Papers | Dr. Saunak Sen

Written by Tristan Hayes

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Online Content

Enhancing Statistical Methods in Grants and Papers Seminar Slides (PDF) Time: June 4th 12:00-1:00PM Location: Simulation Building Room 102 Presented by Saunak Sen, PhD Enhancing Statistical Methods in Grants and Papers Modern biomedical research relies heavily on statistical reasoning and data analysis.  Journal and research grant reviewers are increasingly examining the statistical analysis sections more closely. … Read More

Seminar Slides | The Perfect Doctor | Dr. Fridtjof Thomas

Written by Tristan Hayes

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Statistical Tests

The-Perfect-Doctor-TN-CTSI-2019-05-28-handout Time: May 28th 12:00-1:00PM Location: Simulation Building Room 102 Presented by Fridtjof Thomas, PhD The Perfect Doctor: An introduction to Causal Inference Consider a Perfect Doctor that has the magical ability to pick from two treatments always the one that is better for each given patient. Can we learn about treatment effects by observing the… Read More

Seminar Slides | Multiple Comparisons and the False Discovery Rate | Dr. Saunak Sen

Written by Tristan Hayes

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Online Contentp-valuesStatistical Tests

Please click below for the slides from Dr. Saunak Sen’s presentation May 21st, 2019. Multiple Comparisons and the Falsefdr Discovery Rate

Seminar Slides: The Bayesian Approach to Data Analysis | Fridtjof Thomas

Written by Tristan Hayes

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Online Content

Please see below the slides from the seminar on May 15th, 2019 by Fridtjof Thomas. Seminar Slides Bayesian Approach to Data AnalysisBayesian-Approach-TN-CTSI-2019-05-14-handout

A Quick Recommendation on SAS Setup at UT by Fridtjof Thomas

Written by Tristan Hayes

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SAS

This is a quick guide on the recommended SAS setup for UT users. This is excerpted from a longer guide on software setup and windows 10. SAS 9.4 TSIM3 Large (16GB) download from UT Knoxville This download will take several hours due to its size (zipped file 16GB).  You may want to ask the Biostatistics… Read More

Real Close to the Machine: Floating Point in D | Using Floating Point Without Losing Your Sanity by Dan Clugston [outside article & video]

Written by Tristan Hayes

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Computation

An entertaining look at floating point computation and absurdities that you might encounter if you are not careful. The video is entertaining; the details are in the article. Computers were originally conceived as devices for performing mathematics. The earliest computers spent most of their time solving equations. Although the engineering and scientific community now forms… Read More

Missing values in Julia by Milan Bouchet-Valat [outside article]

Written by Tristan Hayes

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ComputationJulia

Starting from Julia 0.7, missing values are represented using the new missing object. Resulting from intense design discussions, experimentations and language improvements developed over several years, it is the heir of the NA value implemented in the DataArrays package, which used to be the standard way of representing missing data in Julia.

Gradient Descent: The mother of all algorithms? by Aleksander Mądry [outside lecture]

Written by Tristan Hayes

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Computation

More than half a century of research in theoretical computer science has brought us a great wealth of advanced algorithmic techniques. These techniques can be combined in a variety of ways to provide us with sophisticated, often beautifully elegant algorithms. This diversity of methods is truly stimulating and intellectually satisfying. But is it also necessary?

Artificial Intelligence — the revolution hasn’t happened yet by Michael Jordan [outside article]

Written by Tristan Hayes

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Computation

A thoughtful article by one of the leading machine learning researchers on whether we can call “machine learning” “artificial intelligence”. Artificial Intelligence (AI) is the mantra of the current era. The phrase is intoned by technologists, academicians, journalists and venture capitalists alike. As with many phrases that cross over from technical academic fields into general… Read More