CU Boulder News & Events

Using Hierarchical Logistic Regression to Study DIF and DIF Variance in Multilevel Data

When contextual features of test-taking environments differentially affect item responding for different test-takers and these features vary across test administrations, they may cause differential ...
JSTOR Daily

Analyzing multilevel data: comparing findings from hierarchical linear modeling and ordinary least squares regression

This study examined the differing conclusions one may come to depending upon the type of analysis chosen, hierarchical linear modeling or ordinary least squares (OLS) regression. To illustrate this ...
JSTOR Daily

Bayesian Adaptive Regression Splines for Hierarchical Data

This article considers methodology for hierarchical functional data analysis, motivated by studies of reproductive hormone profiles in the menstrual cycle. Current methods standardize the cycle ...
Boston College

Hierarchical Gaussian Process Regression for Meta-Learning of Molecular Geometry Optimization

Quantum chemistry uses quantum mechanics for the first-principle exploration of chemical systems. In principle, all chemical phenomena can be studied by solving the Schrödinger equation, the ...
ascopubs.org

Evaluation of immunotherapy (I-O)-associated immune cell (IC) dynamics and PD-L1 expression using multispectral immunohistochemistry (mIHC) and single-cell hierarchical ...

HIF1A genetic variability and late adverse events of radiotherapy in breast cancer. This is an ASCO Meeting Abstract from the 2019 ASCO Annual Meeting I. This abstract does not include a full text ...
insider.si.edu

Data analysis using regression and multilevel/hierarchical models / Andrew Gelman, Jennifer Hill

STRI copy 39088014660302 purchased with funds from the S. Dillon Ripley Endowment. SERC copy 39088016914160 purchased with funds from the S. Dillon Ripley Endowment ...