activity
20152023
most citedRobust Mediation Analysis: The R Package robmed

37 citations · 56 across the 10 of their papers we have counts for

collaborators

10 papers

stat.ME2023

Dual scaling of rating data

Michel van de Velden, Patrick J. F. Groenen

When applied to contingency tables, dual scaling and correspondence are mathematically equivalent methods. For the analysis of rating data, however, the methods differ. To a large…

stat.AP2022

Effects of Visual Priming on Rating Scale Usage

Pieter C. Schoonees, Patrick J. F. Groenen, Michel van de Velden +1

Rating scales are much used in survey research. Often, it is assumed that the scores obtained through rating scales can be compared within and between respondents when studies are…

stat.ML2022

Convex Clustering through MM: An Efficient Algorithm to Perform Hierarchical Clustering

Daniel J. W. Touw, Patrick J. F. Groenen, Yoshikazu Terada

Convex clustering is a modern method with both hierarchical and -means clustering characteristics. Although convex clustering can capture complex clustering structures hidden in…

stat.CO2022★ 37 cited

Robust Mediation Analysis: The R Package robmed

Andreas Alfons, Nüfer Y. Ateş, Patrick J. F. Groenen

Mediation analysis is one of the most widely used statistical techniques in the social, behavioral, and medical sciences. Mediation models allow to study how an independent variabl…

stat.ME2021★ 4 cited

The MELODIC family for simultaneous binary logistic regression in a reduced space

Mark de Rooij, Patrick J. F. Groenen

Logistic regression is a commonly used method for binary classification. Researchers often have more than a single binary response variable and simultaneous analysis is beneficial…

stat.AP2020★ 1 cited

A censored mixture model for modeling risk taking

Nienke F. S. Dijkstra, Henning Tiemeier, Bernd C. Figner +1

Risk behavior can have substantial consequences for health, well-being, and functioning. Previous studies have shown an association between real-world risk behavior and risk behavi…

stat.ME2018★ 5 cited

Generalized simultaneous component analysis of binary and quantitative data

Yipeng Song, Johan A. Westerhuis, Nanne Aben +3

In the current era of systems biological research there is a need for the integrative analysis of binary and quantitative genomics data sets measured on the same objects. One stand…

stat.ME2017★ 4 cited

SparseStep: Approximating the Counting Norm for Sparse Regularization

Gerrit J. J. van den Burg, Patrick J. F. Groenen, Andreas Alfons

The SparseStep algorithm is presented for the estimation of a sparse parameter vector in the linear regression problem. The algorithm works by adding an approximation of the exact…

stat.ME2016★ 5 cited

Multinomial Multiple Correspondence Analysis

Patrick J. F. Groenen, Julie Josse

Relations between categorical variables can be analyzed conveniently by multiple correspondence analysis (MCA). %It is well suited to discover relations that may exist between cate…

stat.ME2015

Regularized Consensus PCA

Michel Tenenhaus, Arthur Tenenhaus, Patrick J. F. Groenen

A new framework for many multiblock component methods (including consensus and hierarchical PCA) is proposed. It is based on the consensus PCA model: a scheme connecting each block…