Efficacy/toxicity dose-finding using hierarchical modeling for multiple populations.
Sign Up to like & getrecommendations! Published in 2018 at "Contemporary clinical trials"
DOI: 10.1016/j.cct.2018.06.012
Abstract: Traditionally, Phase I oncology trials evaluate the safety profile of a novel agent and identify a maximum tolerable dose based on toxicity alone. With the development of biologically targeted agents, investigators believe the efficacy of… read more here.
Keywords: multiple populations; dose finding; toxicity; hierarchical modeling ... See more keywords
Estimating missing values in China’s official socioeconomic statistics using progressive spatiotemporal Bayesian hierarchical modeling
Sign Up to like & getrecommendations! Published in 2018 at "Scientific Reports"
DOI: 10.1038/s41598-018-28322-z
Abstract: Due to a large number of missing values, both spatially and temporally, China has not published a complete official socioeconomic statistics dataset at the county level, which is the country’s basic scale of official statistics… read more here.
Keywords: missing values; official socioeconomic; hierarchical modeling; bayesian hierarchical ... See more keywords
Identifying intraclass correlations necessitating hierarchical modeling
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Applied Statistics"
DOI: 10.1080/02664763.2017.1288203
Abstract: ABSTRACT Hierarchical binary outcome data with three levels, such as disease remission for patients nested within physicians, nested within clinics are frequently encountered in practice. One important aspect in such data is the correlation that… read more here.
Keywords: correlations necessitating; intraclass; identifying intraclass; hierarchical modeling ... See more keywords
Robust Bayesian hierarchical modeling and inference using scale mixtures of normal distributions
Sign Up to like & getrecommendations! Published in 2021 at "IISE Transactions"
DOI: 10.1080/24725854.2021.1912440
Abstract: Abstract Empirical models that relate multiple quality features to a set of design variables play a vital role in many industrial process optimization methods. Many of the current modeling methods employ a single-response normal model… read more here.
Keywords: bayesian hierarchical; inference using; modeling inference; hierarchical modeling ... See more keywords
Detecting Leishmania in dogs: A hierarchical-modeling approach to investigate the performance of parasitological and qPCR-based diagnostic procedures
Sign Up to like & getrecommendations! Published in 2022 at "PLOS Neglected Tropical Diseases"
DOI: 10.1371/journal.pntd.0011011
Abstract: Background Domestic dogs are primary reservoir hosts of Leishmania infantum, the agent of visceral leishmaniasis. Detecting dog infections is central to epidemiological inference, disease prevention, and veterinary practice. Error-free diagnostic procedures, however, are lacking, and… read more here.
Keywords: qpcr; leishmania dogs; hierarchical modeling; diagnostic procedures ... See more keywords
An Analysis of Glucose Effectiveness in Subjects With or Without Type 2 Diabetes via Hierarchical Modeling
Sign Up to like & getrecommendations! Published in 2021 at "Frontiers in Endocrinology"
DOI: 10.3389/fendo.2021.641713
Abstract: Glucose effectiveness, defined as the ability of glucose itself to increase glucose utilization and inhibit hepatic glucose production, is an important mechanism maintaining normoglycemia. We conducted a minimal modeling analysis of glucose effectiveness at zero… read more here.
Keywords: modeling analysis; analysis glucose; glucose effectiveness; analysis ... See more keywords
Hierarchical Modeling to Enhance Spectrophotometry Measurements—Overcoming Dynamic Range Limitations for Remote Monitoring of Neptunium
Sign Up to like & getrecommendations! Published in 2023 at "Chemosensors"
DOI: 10.3390/chemosensors11050274
Abstract: A robust hierarchical model has been demonstrated for monitoring a wide range of neptunium concentrations (0.75–890 mM) and varying temperatures (10–80 ∘C) using chemometrics and feature selection. The visible–near infrared electronic absorption spectrum (400–1700 nm)… read more here.
Keywords: orders magnitude; hierarchical modeling; range; enhance spectrophotometry ... See more keywords