Blog – Less Likely

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Welcome to the blog! Here you’ll find discussions on statistical science, methodology, and applications of statistical methods in research and practice.

Browse by Topic

Statistics - Foundations of statistical reasoning
Sensitivity Analysis - Exploring assumption impacts
Data Management - Best practices for statistical workflows
Statistical Workflow - Reproducible research methods

All Posts

When Can We Say That Something Doesn’t Work?

When Can We Say That Something Doesn’t Work?

statistics

When are we allowed to conclude that an intervention doesn’t work? Is it when a study or several studies fail to find significant differences?

How Useful Is Nutritional Epidemiology?

nutrition

The studies that gain the most attention from the media are usually nutritional epidemiological studies. However, there is a good reason to be skeptical of these types of studies and in this blog post, I explain why.

The P-value Is Not a Verdict: An Interactive Consonance Curve

statistics

interactive

Drag an estimate and its interval and watch the entire P-value function, every compatibility interval, and the S-value move together.

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Constructing Likelihood Functions in R, Stata, Python, Julia, MATLAB, and SQL

Constructing Likelihood Functions in R, Stata, Python, Julia, MATLAB, and SQL

statistics

Building likelihood and support functions from the same estimate in R, Stata, Python, Julia, MATLAB, and SQL, and checking they agree.

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How to Be a Good Collaborator to a Statistician and a Data Engineer

statistics

Good collaboration with statisticians and data engineers is a set of concrete habits, not goodwill. What each side owes the other, with checklists.

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The Octagon Is a One-Trial Experiment

statistics

A single MMA fight is not a probability. But repeat it ten times and the better fighter’s edge starts showing. That gap is exactly what frequentism was built for.

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Multi-Language Code Examples

statistics

programming

tutorial

Examples of using Stata, Julia, and pseudocode in blog posts

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A Critical Look At The REDUCE-IT Trial

A Critical Look At The REDUCE-IT Trial

medicine

The results of the long-awaited REDUCE-IT trial are finally out in The New

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Seductive Surrogates Can Be Deadly

Seductive Surrogates Can Be Deadly

medicine

A post explaining what surrogate markers are, why we sometimes focus on

How Did We Figure Out Smoking Causes Lung Cancer?

How Did We Figure Out Smoking Causes Lung Cancer?

medicine

A relatively simple way to conclude a cause and effect relationship in humans is with

The Rise, Fall, and Rise Again of Fish Oil?

The Rise, Fall, and Rise Again of Fish Oil?

medicine

A look at fish oil’s controversial evidence base and how a recently completed

Revisiting Eggs and Dietary Cholesterol

Revisiting Eggs and Dietary Cholesterol

nutrition

A look at the recent JAMA study that found an association between dietary cholesterol and cardiovascular disease incidence along with a look at the current state of research on this question.

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Confidence, Posteriors, and the Bootstrap

statistics

This guide discusses the bootstrap resampling method and its close connection to the consonance distribution and how to use certain iterations of the bootstrap to construct a consonance distribution.

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Computing Confidence Interval Functions with cifunction

Computing Confidence Interval Functions with cifunction

statistics

stata

confidence intervals

data visualization

statistical methods

Learn how to compute and visualize confidence interval functions (confidence curves, p-value functions) using the cifunction Stata package. Includes practical examples and implementation guide.

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Your Models Are Neither Useful Nor Approximate

Your Models Are Neither Useful Nor Approximate

statistics

A discussion about models and the assumptions that underlie them.

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Using Stata: Producing Consonance Functions

statistics

A simple guide on how to produce consonance functions in Stata.

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Simulation of a Two-Group Parallel-Arm RCT with Interim Analyses

statistics

A simulation of a two-group parallel-arm randomized trial with interim analysis using the rpact package.

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Tables, Graphs, and Computations from Rafi & Greenland (2020)

This post goes through the R code and logic that was used to construct the figures and concepts in Rafi & Greenland (2020) BMC MRM.

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What Makes a Sensitivity Analysis?

What Makes a Sensitivity Analysis?

statistics

Sensitivity analyses are an important part of statistical analyses, however, there are major misconceptions about what they do and what qualifies as such an analysis.

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Medicine Is Being Treated with Snake-Oil Statistics

statistics

Suggested Running Head: Snake Oil Statistics

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Quality Control in Statistical Analyses

Quality Control in Statistical Analyses

statistics

Experienced statisticians and data analysts are familiar with stories where a coding error has led to an entire conclusion changing, even leading to a retraction. It’s the sort of stuff that keeps people up at night.

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Book Review: Regression and Other Stories by Gelman, Hill, and Vehtari

Book Review: Regression and Other Stories by Gelman, Hill, and Vehtari

An early look at Gelman et als new book, Regression and Other Stories, which is an update to their seminal 2006 book, Data Analysis Using Regression and Multilevel Hierarchical Models.

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Book Review: Fisher, Neyman, and the Creation of Classical Statistics

Book Review: Fisher, Neyman, and the Creation of Classical Statistics

A review of Erich Lehmann’s last book, Fisher, Neyman, and the Creation of Classical Statistics.

GAMS

statistics

Some sample scripts

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P-values Are Tough And S-values Can Help

P-values Are Tough And S-values Can Help

statistics

An extensive discussion about what P-values are, their properties, common interpretations, misinterpretations, and how a measure called an S-value may better help us interpret them.

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Welcome to the blog! Here you'll find discussions on statistical science, methodology, and applications of statistical methods in research and practice.

## Browse by Topic

-   [**Statistics**](statistics/) - Foundations of statistical reasoning
-   [**Sensitivity Analysis**](blog.html?category=sensitivity-analysis) - Exploring assumption impacts
-   [**Data Management**](blog.html?category=data-management) - Best practices for statistical workflows
-   [**Statistical Workflow**](blog.html?category=statistical-workflow) - Reproducible research methods

## All Posts
:::