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Recent Posts

Your Models Are Neither Useful Nor Approximate

statistics

A discussion about models and the assumptions that underlie them.

Jan 1, 2024

Using Stata: Producing Consonance Functions

statistics

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

Jan 1, 2024

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.

Feb 1, 2021

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.

Dec 12, 2020

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.

Jun 13, 2020

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.

Jun 11, 2019

See all posts →

Featured Statistics Articles

Your Models Are Neither Useful Nor Approximate

A discussion about models and the assumptions that underlie them.

Jan 1, 2024

Using Stata: Producing Consonance Functions

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

Jan 1, 2024

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

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

Feb 1, 2021

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.

Dec 12, 2020

Browse all statistics articles →

Topics We Cover

Sensitivity Analysis

Exploring how conclusions change under different assumptions

Statistical Assumptions

Critical examination of model assumptions

Robust Methods

Statistics that work when assumptions fail

Causal Inference

Drawing causal conclusions from observational data

Bootstrap Methods

Resampling techniques for uncertainty quantification

Data Management

Best practices for statistical workflows

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Contribute

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Citation

BibTeX citation:

@online{panda,
  author = {Panda, Sir},
  url = {https://lesslikely.com/},
  langid = {en}
}

For attribution, please cite this work as:

1. Panda S. https://lesslikely.com/.

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