Saltar al contenido principal

ETHNOS_APP

Inicio • Búsqueda • Revistas • Lista 0

Renaud Mabire‐yon

Datos Biográficos

ID4451901
NOMBRERenaud Mabire‐yon
NOMBRESRenaud
APELLIDOMabire‐yon
FIRMAYON R M
AFILIACIONESInserm
ORCID0000-0003-1972-5741
VERIFICADOSí
TOTAL DE OBRAS4
TOTAL DE CITAS0
TOTAL COMO AUTOR4
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2024
AÑO MÁS RECIENTE DE PUBLICACIÓN2025
ÍNDICE H0
  • Unravelling the Nuances of Data With Quantile Regression

    Open Access•Renaud Mabire‐yon•ARTICLE•International Journal of Psychology•2025

    In applied psychology, traditional statistical methods often provide only a broad overview, potentially overlooking nuanced variable relationships. This article presents a comprehensive tutorial on quantile regression (QR), a statistical modelling technique ideally suited for psychological data analysis. Unlike conventional regression, QR examines relationships across different quantiles of the data distribution, revealing complex dynamics and of…

  • Hurdle Models in Psychology—A Practical Guide for Inflated Data

    Open Access•Renaud Mabire‐yon•ARTICLE•International Journal of Psychology•2025

    In psychological research, variables often exhibit point‐mass inflation—for example, many zero responses or other boundary lumps—that defy standard regression techniques. Hurdle models address this challenge by separating the zero‐generating process from the distribution of nonzero (or non‐boundary) observations, thereby allowing for more accurate modelling of behaviour and outcomes. In this paper, I introduce the conceptual basis of Hurdle model…

  • Tous les modèles sont faux, mais la complexité est utile

    Open Access•Renaud Mabire‐yon, Renaud Mabire-Yon et al.•ARTICLE•Pratiques Psychologiques•2025•Referencias: 4

  • Measuring reconceptualization and reprioritization during France’s first Covid-19-related lockdown in women with and without a history of cancer

    Open Access•Charlotte Bauquier, Stéphéline Ginguené et al.•ARTICLE•Quality of Life Research•2024

Sin obras prominentes en esta página.

  • Measuring reconceptualization and reprioritization during France’s first Covid-19-related lockdown in women with and without a history of cancer

    Open Access•Charlotte Bauquier, Stéphéline Ginguené et al.•ARTICLE•Quality of Life Research•2024

  • Unravelling the Nuances of Data With Quantile Regression

    Open Access•Renaud Mabire‐yon•ARTICLE•International Journal of Psychology•2025

    In applied psychology, traditional statistical methods often provide only a broad overview, potentially overlooking nuanced variable relationships. This article presents a comprehensive tutorial on quantile regression (QR), a statistical modelling technique ideally suited for psychological data analysis. Unlike conventional regression, QR examines relationships across different quantiles of the data distribution, revealing complex dynamics and of…

  • Hurdle Models in Psychology—A Practical Guide for Inflated Data

    Open Access•Renaud Mabire‐yon•ARTICLE•International Journal of Psychology•2025

    In psychological research, variables often exhibit point‐mass inflation—for example, many zero responses or other boundary lumps—that defy standard regression techniques. Hurdle models address this challenge by separating the zero‐generating process from the distribution of nonzero (or non‐boundary) observations, thereby allowing for more accurate modelling of behaviour and outcomes. In this paper, I introduce the conceptual basis of Hurdle model…

  • Tous les modèles sont faux, mais la complexité est utile

    Open Access•Renaud Mabire‐yon, Renaud Mabire-Yon et al.•ARTICLE•Pratiques Psychologiques•2025•Referencias: 4

Computer Science (2 obras) · Econometrics (2 obras) · Mathematics (2 obras) · Mental Health Research Topics (2 obras) · Psychology (2 obras) · Statistics (2 obras) · Boundary (topology) (1 obras) · Cancer (1 obras) · Cancer survivorship and care (1 obras) · Clinical Psychology (1 obras)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae