Lmst

#pvaluefunction

#statstab #301 Likelihood and the p-value Function

Thoughts: Plot idea by Fraser (2019): "the likelihood function and p-value function provide the basis for scientific judgments by an investigator"

#consonancecurve #pvaluefunction #likelihood #plot

https://doi.org/10.1080/00031305.2018.1556735

“The full p-value function arguably records the full measurement information that a user should be entitled to know! We also note that the p-value function is widely available for any scalar interest parameter and any model-data combination with just moderate regularity, and has available computational procedures.

In addition to the overt statistical position, the p-value function also provides easily and accurately many of the familiar types of summary information: a median estimate of the parameter; a one-sided test statistic for a scalar parameter value at any chosen level; the related power function; a lower confidence bound at any level; an upper confidence bound at any level; and confidence intervals with chosen upper and lower confidence limits. The p value reports all the common inference material, but with high accuracy, basic uniqueness, and wide generality.

From a scientific perspective, the likelihood function and p-value function provide the basis for scientific judgments by an investigator, and by other investigators who might have interest. It thus replaces a blunt yes or no decision by an opportunity for appropriate informed judgment.

#statstab #300 (!!!) 🥳🎉
Beyond the forest plot: The drapery plot

Thoughts: I can't believe they didn't call these 'tepee plots'.
I think they are cluttered, but can be useful.

#metaanalysis #pvalues #consonancecurve #pvaluefunction #dataviz #prediction #plots #figures #R

https://doi.org/10.1002/jrsm.1410

Client Info

Server: https://mastodon.social

Version: 2025.04

Repository: https://github.com/cyevgeniy/lmst