The Ohio State University

Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models

Naturalistic inquiry

Standards and guidelines for the interpretation of sequence variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology

Alternative Ways of Assessing Model Fit

This article is concerned with measures of fit of a model. Two types of error involved in fitting a model are considered. The first is error of approximation which involves the ...

SPSS and SAS procedures for estimating indirect effects in simple mediation models

Minimal information for studies of extracellular vesicles 2018 (MISEV2018): a position statement of the International Society for Extracellular Vesicles and update of the MISEV2014 guidelines

ABSTRACT The last decade has seen a sharp increase in the number of scientific publications describing physiological and pathological functions of extracellular vesicles (EVs), ...

The 2016 revision to the World Health Organization classification of myeloid neoplasms and acute leukemia

Abstract The World Health Organization (WHO) classification of tumors of the hematopoietic and lymphoid tissues was last updated in 2008. Since then, there have been numerous ad...

Addressing Moderated Mediation Hypotheses: Theory, Methods, and Prescriptions

This article provides researchers with a guide to properly construe and conduct analyses of conditional indirect effects, commonly known as moderated mediation effects. We disen...

Beyond Baron and Kenny: Statistical Mediation Analysis in the New Millennium

Click to increase image sizeClick to decrease image size Notes 1. Although the partitioning of a total effect into direct and indirect components in the manner described here do...

Review of Particle Physics

The <em>Review</em> summarizes much of particle physics and cosmology. Using data from previous editions, plus 2,873 new measurements from 758 papers, we list, evalu...