activity
20102023
most citedSemantic and Cognitive Tools to Aid Statistical Science: Replace Confidence and Significance by Compatibility and Surprise

243 citations · 450 across the 11 of their papers we have counts for

collaborators

11 papers

stat.ME2023★ 39 cited

Connecting Simple and Precise P-values to Complex and Ambiguous Realities

Sander Greenland

Mathematics is a limited component of solutions to real-world problems, as it expresses only what is expected to be true if all our assumptions are correct, including implicit assu…

stat.OT2023★ 50 cited

Divergence vs. Decision P-values: A Distinction Worth Making in Theory and Keeping in Practice

Sander Greenland

There are two distinct definitions of 'P-value' for evaluating a proposed hypothesis or model for the process generating an observed dataset. The original definition starts with a…

stat.ME2022

Rewriting results in the language of compatibility

Valentin Amrhein, Sander Greenland

This is a reply to Muff, S. et al. (2022) Rewriting results sections in the language of evidence, Trends in Ecology & Evolution 37, 203-210.

stat.AP2021★ 1 cited

Odds Ratios are far from "portable": A call to use realistic models for effect variation in meta-analysis

Mengli Xiao, Haitao Chu, Stephen Cole +4

Objective: Recently Doi et al. argued that risk ratios should be replaced with odds ratios in clinical research. We disagreed, and empirically documented the lack of portability of…

math.ST2021★ 1 cited

There are natural scores: Full comment on Shafer, "Testing by betting: A strategy for statistical and scientific communication"

Sander Greenland

Shafer (2021) offers a betting perspective on statistical testing which may be useful for foundational debates, given that disputes over such testing continue to be intense. To be…

stat.OT2020★ 1 cited

The causal foundations of applied probability and statistics

Sander Greenland

Statistical science (as opposed to mathematical statistics) involves far more than probability theory, for it requires realistic causal models of data generators - even for purely…

stat.ME2019★ 16 cited

To Aid Scientific Inference, Emphasize Unconditional Compatibility Descriptions of Statistics

Sander Greenland, Zad Rafi, Robert Matthews +1

All scientific interpretations of statistical outputs depend on background (auxiliary) assumptions that are rarely delineated or explicitly interrogated. These include not only the…

stat.ME2019★ 243 cited

Semantic and Cognitive Tools to Aid Statistical Science: Replace Confidence and Significance by Compatibility and Surprise

Zad Rafi, Sander Greenland

Researchers often misinterpret and misrepresent statistical outputs. This abuse has led to a large literature on modification or replacement of testing thresholds and -values wi…

stat.ME2010★ 7 cited

Comment: The Need for Syncretism in Applied Statistics

Sander Greenland

Comment on "The Need for Syncretism in Applied Statistics" [arXiv:1012.1161]

stat.ME2010★ 32 cited

Interval Estimation for Messy Observational Data

Paul Gustafson, Sander Greenland

We review some aspects of Bayesian and frequentist interval estimation, focusing first on their relative strengths and weaknesses when used in "clean" or "textbook" contexts. We th…

stat.ME2010★ 60 cited

Relaxation Penalties and Priors for Plausible Modeling of Nonidentified Bias Sources

Sander Greenland

In designed experiments and surveys, known laws or design feat ures provide checks on the most relevant aspects of a model and identify the target parameters. In contrast, in most…