47 citations · 64 across the 8 of their papers we have counts for
8 papers
A Permutation Test for Assessing the Presence of Individual Differences in Treatment Effects
Chi Chang, Thomas Jaki, Muhammad Saad Sadiq +7
One size fits all approaches to medicine have become a thing of the past as the understanding of individual differences grows. The paper introduces a test for the presence of heter…
Privacy-Preserving Generalized Linear Models using Distributed Block Coordinate Descent
Erik-Jan van Kesteren, Chang Sun, Daniel L. Oberski +2
Combining data from varied sources has considerable potential for knowledge discovery: collaborating data parties can mine data in an expanded feature space, allowing them to explo…
Rank-deficiencies in a reduced information latent variable model
Daniel L. Oberski
Latent variable models are well-known to suffer from rank deficiencies, causing problems with convergence and stability. Such problems are compounded in the "reduced-group split-ba…
Structural Equation Models as Computation Graphs
Erik-Jan van Kesteren, Daniel L. Oberski
Structural equation modeling (SEM) is a popular tool in the social and behavioural sciences, where it is being applied to ever more complex data types. The high-dimensional data pr…
Exploratory Mediation Analysis with Many Potential Mediators
Erik-Jan van Kesteren, Daniel L. Oberski
Social and behavioral scientists are increasingly employing technologies such as fMRI, smartphones, and gene sequencing, which yield 'high-dimensional' datasets with more columns t…
The Expected Parameter Change (EPC) for Local Dependence Assessment in Binary Data Latent Class Models
Daniel L. Oberski, Jeroen K. Vermunt
Binary data latent class models crucially assume local independence, violations of which can seriously bias the results. We present two tools for monitoring local dependence in bin…
Evaluating the quality of survey and administrative data with generalized multitrait-multimethod models
Daniel Leonard Oberski, Antje Kirchner, Stephanie Eckman +1
Administrative register data are increasingly important in statistics, but, like other types of data, may contain measurement errors. To prevent such errors from invalidating analy…
Individual Differences in Structural Equation Model Parameters
Daniel Leonard Oberski
Individuals may differ in their parameter values. This article discusses a three-step method of studying such differences by calculating and then modeling "individual parameter con…