Semantic and cognitive tools to aid statistical science: replace confidence and significance by compatibility and surprise

Z Rafi, S Greenland - BMC medical research methodology, 2020 - Springer
Background Researchers often misinterpret and misrepresent statistical outputs. This abuse
has led to a large literature on modification or replacement of testing thresholds and P …

mRNA-LNP vaccines tuned for systemic immunization induce strong antitumor immunity by engaging splenic immune cells

S Bevers, SAA Kooijmans, E Van de Velde… - Molecular Therapy, 2022 - cell.com
mRNA vaccines have recently proved to be highly effective against SARS-CoV-2. Key to
their success is the lipid-based nanoparticle (LNP), which enables efficient mRNA …

Valid P-Values Behave Exactly as They Should: Some Misleading Criticisms of P-Values and Their Resolution With S-Values

S Greenland - The American Statistician, 2019 - Taylor & Francis
The present note explores sources of misplaced criticisms of P-values, such as conflicting
definitions of “significance levels” and “P-values” in authoritative sources, and the …

Sample size planning for replication studies: The devil is in the design.

SF Anderson, K Kelley - Psychological Methods, 2024 - psycnet.apa.org
Replication is central to scientific progress. Because of widely reported replication failures,
replication has received increased attention in psychology, sociology, education …

Misinterpreting p: The discrepancy between p values and the probability the null hypothesis is true, the influence of multiple testing, and implications for the replication …

SF Anderson - Psychological methods, 2020 - psycnet.apa.org
The p value is still misinterpreted as the probability that the null hypothesis is true. Even
psychologists who correctly understand that p values do not provide this probability may not …

Statistical analysis in Small-N Designs: using linear mixed-effects modeling for evaluating intervention effectiveness

RW Wiley, B Rapp - Aphasiology, 2019 - Taylor & Francis
Background: Advances in statistical methods and computing power have led to a renewed
interest in addressing the statistical analysis challenges posed by Small-N Designs (SND) …

Détente: A Practical Understanding of P values and Bayesian Posterior Probabilities

SJ Ruberg - Clinical Pharmacology & Therapeutics, 2021 - Wiley Online Library
Null hypothesis significance testing (NHST) with its benchmark P value< 0.05 has long been
a stalwart of scientific reporting and such statistically significant findings have been used to …

Stock-specific sentiment and return predictability

G Coqueret - Quantitative Finance, 2020 - Taylor & Francis
This paper quantifies the impact of stock-specific news sentiment on future financial returns.
Daily predictive regressions yield significant t-statistics for 7% at most of our sample of more …

Likelihood, replicability and Robbins' confidence sequences

L Pace, A Salvan - International Statistical Review, 2020 - Wiley Online Library
The widely claimed replicability crisis in science may lead to revised standards of
significance. The customary frequentist confidence intervals, calibrated through hypothetical …

Prueba de hipótesis en la investigación forestal, agropecuaria y en la ecología: retos y malentendidos sobre el uso de los niveles de significancia de 0.05 y 0.01

P Antúnez, EAR Camacho, C Kleinn - Ecosistemas y Recursos …, 2021 - agora.edu.es
La estadística es una herramienta metodológica importante para estudiar e interpretar
fenómenos y eventos en diferentes disciplinas, a partir de datos empíricos, en un marco de …