Publications by authors named "Iain Carmichael"
Measure of Strength of Evidence for Visually Observed Differences between Subpopulations.
J Comput Graph Stat
December 2023
For measuring the strength of visually-observed subpopulation differences, the Population Difference Criterion is proposed to assess the statistical significance of visually observed subpopulation differences. It addresses the following challenges: in high-dimensional contexts, distributional models can be dubious; in high-signal contexts, conventional permutation tests give poor pairwise comparisons. We also make two other contributions: Based on a careful analysis we find that a balanced permutation approach is more powerful in high-signal contexts than conventional permutations.
View Article and Find Full Text PDFBackground: Few studies have examined illness models among people with addiction. We investigated illness models and their associations with demographics and treatment beliefs among patients receiving methadone treatment for opioid use disorder.
Methods: From January 2019 to February 2020, patients receiving methadone treatment at outpatient opioid treatment programs provided demographics and rated using 1 to 7 Likert-type scales agreement with addiction illness models (brain disease model, chronic medical condition model [CMCM], and no explanation [NEM]) and treatment beliefs.
Background: Homelessness is an important social determinant of health (SDOH), impacting health outcomes for many medical conditions. Although homelessness is common among people with opioid use disorder (OUD), few studies systematically evaluate homelessness and other SDOH among people enrolled in standard of care treatment for OUD, medication for opioid use disorder (MOUD), or examine whether homelessness affects treatment engagement.
Methods: Using data from the 2016 to 2018 U.
Article Synopsis
- Morphology-based cell classification in bone marrow aspirate is crucial for diagnosing blood cancers, but it's a slow process requiring expert analysis.
- A large dataset of 41,595 annotated images was used to train a convolutional neural network, DeepHeme, which achieved a high accuracy in classifying these images.
- DeepHeme outperformed individual hematopathologists and reliably identified cell states like mitosis, suggesting its potential for clinical use in quantifying mitotic index accurately.
Background: Despite recognition of the importance of substance use disorder (SUD) terminology, few studies examine terminology preferences among patients with SUDs.
Objective: To examine preferences of patients with opioid use disorder (OUD) concerning the terminology used by addiction counselors.
Design: From January 1, 2019, to February 28, 2020, participants were recruited consecutively from 30-day treatment review sessions at outpatient methadone treatment programs in the Northeastern United States to complete a cross-sectional survey.
The two main approaches in the study of breast cancer are histopathology (analyzing visual characteristics of tumors) and genomics. While both histopathology and genomics are fundamental to cancer research, the connections between these fields have been relatively superficial. We bridge this gap by investigating the Carolina Breast Cancer Study through the development of an integrative, exploratory analysis framework.
View Article and Find Full Text PDFBackground: Few studies have directly compared patient characteristics and retention among those enrolled in methadone maintenance treatment (MMT) based on housing status. Low-barrier-to-treatment-access programs may be particularly effective at attracting patients experiencing homelessness into MMT; however, the literature on retention in such settings is limited.
Methods: We performed a retrospective chart review of 488 consecutive patients enrolled from April to October 2017 at low-barrier-to-treatment-access MMT programs in southern New England.