13 results for "Kapelner Adam"

Comparing gender discrimination and inequality in indie and traditional publishing

Weinberg, Dana B.; Kapelner, Adam

PLoS One · 2018 · English · PubMed Central

In traditional publishing, female authors’ titles command nearly half (45%) the price of male authors’ and are underrepresented in more prestigious genres, and books are published by publishing houses, which determined whose books get published, subject classification, and retail price. In the last…

The Bayesian Additive Regression Trees Formula for Safe Machine Learning-Based Intraocular Lens Predictions

Clarke, Gerald P.; Kapelner, Adam

Front Big Data · 2020 · English · PubMed Central

Purpose: Our work introduces a highly accurate, safe, and sufficiently explicable machine-learning (artificial intelligence) model of intraocular lens power (IOL) translating into better post-surgical outcomes for patients with cataracts. We also demonstrate its improved predictive accuracy over…

Do book consumers discriminate against Black, female, or young authors?

Weinberg, Dana B.; Kapelner, Adam

PLoS One · 2022 · English · PubMed Central

The publishing industry shows marked evidence of both gender and racial discrimination. A rational explanation for this difference in treatment of both female and Black authors might relate to the taste-based preferences of book consumers, who might be less willing to pay for books by such authors…

An Interactive Java Statistical Image Segmentation System: GemIdent

Holmes, Susan; Kapelner, Adam; Lee, Peter P.

J Stat Softw · 2009 · English · PubMed Central

Supervised learning can be used to segment/identify regions of interest in images using both color and morphological information. A novel object identification algorithm was developed in Java to locate immune and cancer cells in images of immunohistochemically-stained lymph node tissue from a…

Improved Conditional Logistic Regression using Information in Concordant Pairs with Software

Tennenbaum, Jacob; Kapelner, Adam

arXiv · 2026 · English · arXiv

We develop an improvement to conditional logistic regression (CLR) in the setting where the parameter of interest is the additive effect of binary treatment effect on log-odds of the positive level in the binary response. Our improvement is simply to use information learned above the nuisance…

The optimality of blocking designs in equally and unequally allocated randomized experiments with general response

Azriel David; Krieger Abba M.; Kapelner Adam

Journal of Causal Inference, Vol. 14 No. 1 · 2026 · English · DOAJ Scopus

…on unknown response parameters. When considering the tail criterion of Kapelner A, Krieger AM, Sklar M, Shalit U, Azriel D. Harmonizing optimized designs with classic randomization in experiments. Am Statistician 2021;75:195–206. https://doi.org/10.1080/00031305.2020.1717619, we show the optimal…

Editorial: ML and AI Safety, Effectiveness and Explainability in Healthcare

Benrimoh, David; Israel, Sonia; Fratila, Robert et al.

Front Big Data · 2021 · English · PubMed Central

Evaluating the Effectiveness of Personalized Medicine With Software

Kapelner, Adam; Bleich, Justin; Levine, Alina et al.

Front Big Data · 2021 · English · PubMed Central

We present methodological advances in understanding the effectiveness of personalized medicine models and supply easy-to-use open-source software. Personalized medicine involves the systematic use of individual patient characteristics to determine which treatment option is most likely to result in…

Accelerating Adolescent Vocabulary Growth: Development of an Individualized, Web-Based, Vocabulary Instruction Program

Adlof, Suzanne M.; Baron, Lauren S.; Scoggins, Joanna et al.

Lang Speech Hear Serv Sch · 2019 · English · PubMed Central

PURPOSE: Improving vocabulary knowledge is important for many adolescents, but there are few evidence-based vocabulary instruction programs available for high school students. The purpose of this article is to describe the iterative development of the DictionarySquared research platform, a…

Development of the treatment prediction model in the artificial intelligence in depression – medication enhancement study

Benrimoh, David; Armstrong, Caitrin; Mehltretter, Joseph et al.

Npj Ment Health Res · 2025 · English · PubMed Central

We introduce an artificial intelligence model to personalize treatment in major depression, which was deployed in the Artificial Intelligence in Depression: Medication Enhancement Study. We predict probabilities of remission across multiple pharmacological treatments, validate model predictions…

Treatment selection using prototyping in latent-space with application to depression treatment

Kleinerman, Akiva; Rosenfeld, Ariel; Benrimoh, David et al.

PLoS One · 2021 · English · PubMed Central

Machine-assisted treatment selection commonly follows one of two paradigms: a fully personalized paradigm which ignores any possible clustering of patients; or a sub-grouping paradigm which ignores personal differences within the identified groups. While both paradigms have shown promising results…

Quantitative, Architectural Analysis of Immune Cell Subsets in Tumor-Draining Lymph Nodes from Breast Cancer Patients and Healthy Lymph Nodes

Setiadi, A. Francesca; Ray, Nelson C.; Kohrt, Holbrook E. et al.

PLoS One · 2010 · English · PubMed Central

BACKGROUND: To date, pathological examination of specimens remains largely qualitative. Quantitative measures of tissue spatial features are generally not captured. To gain additional mechanistic and prognostic insights, a need for quantitative architectural analysis arises in studying immune…

Spatial organization of dendritic cells within tumor draining lymph nodes impacts clinical outcome in breast cancer patients

Chang, Andrew Y; Bhattacharya, Nupur; Mu, Jian et al.

J Transl Med · 2013 · English · PubMed Central

BACKGROUND: Dendritic cells (DCs) are important mediators of anti-tumor immune responses. We hypothesized that an in-depth analysis of dendritic cells and their spatial relationships to each other as well as to other immune cells within tumor draining lymph nodes (TDLNs) could provide a better…