Works Published in 2024
Displaying works 21 - 28 of 28 in total
Sorted by most recent date added to the index first, which may not be the same as publication date order.
2024 article
Estimation of optimal treatment regimes with electronic medical record data using the residual life value estimator
Rhodes, G., Davidian, M., & Lu, W. (2024, February 9). BIOSTATISTICS, Vol. 2.
author keywords: context vector; dynamic treatment regime; electronic medical record; MIMIC-III; precision medicine; Q-learning; random forest; residual life; sepsis
TL;DR:
ReLiVE-Q leverages accumulating patient information to estimate personalized treatment regimes that optimize a clinically meaningful function of residual life, and it is demonstrated that ReLiVE-Q leverages accumulating patient information to estimate personalized treatment regimes that optimize a clinically meaningful function of residual life.
(via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: February 19, 2024
2024 article
Methods for the estimation of direct and indirect vaccination effects by combining data from individual- and cluster-randomized trials
Wang, R., Cen, M., Huang, Y., Qian, G., Dean, N. E., Ellenberg, S. S., … Longini, I. M. (2024, February 13). STATISTICS IN MEDICINE.
author keywords: multiple trials; randomized studies; vaccine effects
TL;DR:
This article proposes a model formulation to estimate the direct, indirect, total, and overall vaccine effects combining data from trials with two types of study designs: individual-randomization and cluster-randomization, based on a Cox proportional hazards model.
(via Semantic Scholar)
Source: Web Of Science
Added: February 19, 2024
2024 journal article
A Theoretical Analysis of DeepWalk and Node2vec for Exact Recovery of Community Structures in Stochastic Blockmodels
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 46(2), 1065–1078.
author keywords: Stochastic blockmodel; network embedding; perfect community recovery; node2vec; DeepWalk; matrix factorization
TL;DR:
These results guarantee that with large enough window size and vertex number, applying the matrix factorization-based node2vec embeddings can correctly recover the memberships of all vertices in a network generated from the stochastic blockmodel (or its degree-corrected variants).
(via Semantic Scholar)
Source: Web Of Science
Added: February 12, 2024
2024 journal article
Fast Model Selection and Hyperparameter Tuning for Generative Models
ENTROPY, 26(2).
author keywords: integral probability metric; hypothesis testing; Maximum Mean Discrepancy; multi-armed bandits; generative adversarial networks
TL;DR:
A procedure which uses hypothesis testing coupled with Successive Halving is proposed to make the resource allocation and early stopping decisions and compares the intermediate performance of generative models by their exponentially weighted Maximum Means Discrepancy (MMD).
(via Semantic Scholar)
www.mdpi.com (publisher PDF)
Sources: ORCID, Web Of Science, NC State University Libraries
Added: February 10, 2024
2024 journal article
Active Learning for Stacking and AdaBoost-Related Models
STATS, 7(1), 110–137.
author keywords: machine learning; ensemble learning; classification; AdaBoost
TL;DR:
The findings demonstrate that AL can enable the stacking model to achieve comparable accuracy to the SVM model using the full dataset, with only a small fraction of carefully selected instances, illustrating the strength of active learning.
(via Semantic Scholar)
Sources: ORCID, Web Of Science, NC State University Libraries
Added: January 28, 2024
2024 journal article
Guided optimization of ToxPi model weights using a Semi-Automated approach
COMPUTATIONAL TOXICOLOGY, 29.
author keywords: Machine learning; Feature weighting; Exposure assessment; Chemical toxicity; Ordinal regression; Genetic algorithm
Source: Web Of Science
Added: January 16, 2024
2024 article
PROFIT: projection-based test in longitudinal functional data
Koner, S., Park, S. Y., & Staicu, A.-M. (2024, January 3). JOURNAL OF NONPARAMETRIC STATISTICS, Vol. 1.
author keywords: Longitudinal functional data analysis; uniform convergence; likelihood ratio test; fractional anisotropy; multiple sclerosis
TL;DR:
This paper applies their method to the longitudinal diffusion tensor imaging study of multiple sclerosis patients to formally assess whether the brain's health tissue, as summarized by fractional anisotropy (FA) profile, degrades over time during the study period.
(via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: January 16, 2024
2024 journal article
Statistical Challenges in Online Controlled Experiments: A Review of A/B Testing Methodology
The American Statistician.
TL;DR:
Challenges that require new statistical methodologies to address online experimentation are reviewed, placing the current methodologies within their relevant statistical lineages and providing illustrative examples of OCE applications.
(via Semantic Scholar)
Source: ORCID
Added: September 9, 2023
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