Zobrazeno 1 - 10 of 131 pro vyhledávání: '"Denise Esserman"'
1
Akademický článek
A compressed large language model embedding dataset of ICD 10 CM descriptions
Autor: Michael J. Kane, Casey King, Denise Esserman, Nancy K. Latham, Erich J. Greene, David A. Ganz
Publikováno v: BMC Bioinformatics, Vol 24, Iss 1, Pp 1-13 (2023)
Abstract This paper presents novel datasets providing numerical representations of ICD-10-CM codes by generating description embeddings using a large language model followed by a dimension reduction via autoencoder. The embeddings serve as informativ
Externí odkaz: https://doaj.org/article/3ee01e62b0304e67a4c9f372574dfb9f
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2
Akademický článek
preference: An R Package for Two-Stage Clinical Trial Design Accounting for Patient Preference
Autor: Briana Cameron, Michael J. Kane, Denise Esserman
Publikováno v: Journal of Statistical Software, Vol 94, Iss 1, Pp 1-16 (2020)
The consideration of a patient's treatment preference may be essential in determining how a patient will respond to a particular treatment. While traditional clinical trials are unable to capture these effects, the two-stage randomized preference des
Externí odkaz: https://doaj.org/article/593362728484400f8f90689ffb4c99d1
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3
Akademický článek
Preliminary analysis of self-reported quality health indicators of patients on opioid agonist therapy at specialty and primary care clinics in Ukraine: A randomized control trial.
Autor: Oleksandra Pashchenko, Daniel J Bromberg, Kostyantyn Dumchev, Katherine LaMonaca, Iryna Pykalo, Myroslava Filippovych, Denise Esserman, Maxim Polonsky, Samy J Galvez de Leon, Olga Morozova, Sergii Dvoriak, Frederick L Altice
Publikováno v: PLOS Global Public Health, Vol 2, Iss 11, p e0000344 (2022)
International agencies recommend integrating addiction treatment into primary care for people who inject drugs (PWID) with opioid use disorder (OUD). Empirical data supporting integration that incorporates comprehensive health outcomes, however, are
Externí odkaz: https://doaj.org/article/2799aecd136b4333ac91d371ded6efe6
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4
Taking a chance: How likely am I to receive my preferred treatment in a clinical trial?
Autor: Stephen D Walter, Ondrej Blaha, Denise Esserman
Publikováno v: Statistical Methods in Medical Research. 32:572-592
Researchers should ideally conduct clinical trials under a presumption of clinical equipoise, but in fact trial patients will often prefer one or other of the treatments being compared. Receiving an unblinded preferred treatment may affect the study
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6029fc1e16f777346f92dcc2412d0e67
https://doi.org/10.1177/09622802221146305
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5
Design and analysis of cluster randomized trials with time‐to‐event outcomes under the additive hazards mixed model
Autor: Ondrej Blaha, Denise Esserman, Fan Li
Publikováno v: Statistics in Medicine. 41:4860-4885
A primary focus of current methods for cluster randomized trials (CRTs) has been for continuous, binary, and count outcomes, with relatively less attention given to right-censored, time-to-event outcomes. In this article, we detail considerations for
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb47f443f8c25a57772e6725f5a05fcc
https://doi.org/10.1002/sim.9541
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6
A Compressed Language Model Embedding Dataset of ICD 10 CM Descriptions
Autor: Michael J. Kane, Casey King, Denise Esserman, Nancy K. Latham, Erich J. Greene, David A. Ganz
This paper presents novel datasets providing numerical representations of ICD-10-CM codes by generating description embeddings using a large language model followed by a dimension reduction via autoencoder. The embeddings serve as informative input f
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bd0f59f0023b470f19513e3a8b502bf7
https://doi.org/10.1101/2023.04.24.23289046
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8
Sample size calculation in hierarchical 2×2 factorial trials with unequal cluster sizes
Autor: Zizhong Tian, Denise Esserman, Guangyu Tong, Ondrej Blaha, James Dziura, Peter Peduzzi, Fan Li
Publikováno v: Stat Med
Motivated by a suicide prevention trial with hierarchical treatment allocation (cluster-level and individual-level treatments), we address the sample size requirements for testing the treatment effects as well as their interaction. We assume a linear
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f1ac86d7169b902e8baab8b15dc4ee6
https://doi.org/10.1002/sim.9284
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10
Impact of complex, partially nested clustering in a three-arm individually randomized group treatment trial: A case study with the wHOPE trial
Autor: Karen H. Seal, Peter Peduzzi, Denise Esserman, William C. Becker, Fan Li, Guangyu Tong, James Dziura
Publikováno v: Clinical trials (London, England), vol 19, iss 1
Clin Trials
Background/Aims When participants in individually randomized group treatment trials are treated by multiple clinicians or in multiple group treatment sessions throughout the trial, this induces partially nested clusters which can affect the power of
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aa89a1885168cbf215db0c4335ec6546
https://doi.org/10.1177/17407745211051288
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