Datamethods

RCT

bayes

decision-making

dichotomization

measurement

reporting

responder-analysis

sample-size

sensitivity

specificity

2022

Published

January 20, 2019

datamethods.org is a discussion site where data methodologists meet each other and subject matter experts including clinical trialists and clinical researchers. Its development is documented here. Datamethods is provided by the Department of Biostatistics, Vanderbilt University School of Medicine.

I have written some short articles on the site, listed below.

---
title: "Datamethods"
date: 2019-01-20
updated: 2022-09-02
categories: [RCT, bayes, decision-making, dichotomization, measurement, reporting, responder-analysis, sample-size, sensitivity, specificity, 2022]
---

[datamethods.org](https://discourse.datamethods.org) is a discussion site where
data methodologists meet each other and subject matter experts
including clinical trialists and clinical researchers.  Its
development is documented [here](/post/disc).  Datamethods is provided
by the Department of Biostatistics, Vanderbilt University School of Medicine.

I have written some short articles on the site, listed below.

-   [Bayesian power: no unobservables](https://discourse.datamethods.org/t/bayesian-power-no-unobservables)
-   [Responder analysis: Loser x 4](https://discourse.datamethods.org/t/responder-analysis-loser-x-4)
-   [Problems with NNT](https://discourse.datamethods.org/t/problems-with-nnt)
-   [Should we ignore covariate imbalance and stop presenting a stratified 'table one' for randomized trials?](https://discourse.datamethods.org/t/should-we-ignore-covariate-imbalance-and-stop-presenting-a-stratified-table-one-for-randomized-trials)
-   [Sensitivity, specificity, and ROC curves are not needed for good medical decision making](https://discourse.datamethods.org/t/sensitivity-specificity-and-roc-curves-are-not-needed-for-good-medical-decision-making)
-   [Choosing statistical paradigms by studying the quality of decisions to which they lead](https://discourse.datamethods.org/t/choosing-statistical-paradigms-by-studying-the-quality-of-decisions-to-which-they-lead)
-   [Language for communicating frequentist results about treatment
    effects](https://discourse.datamethods.org/t/language-for-communicating-frequentist-results-about-treatment-effects)
-   [What is type I error?](https://discourse.datamethods.org/t/what-is-type-i-error)
-   [How to teach probability](https://discourse.datamethods.org/t/how-to-teach-probability)
-   [Bayesian solutions for challenges to frequentist statistics](https://discourse.datamethods.org/t/bayesian-solutions-for-challenges-to-frequentist-statistics)