Results 71 to 80 of about 7,978,158 (263)

Constructing two-sided simultaneous confidence intervals for multinomial proportions for small counts in a large number of cells [PDF]

Confidence intervals for multinomial proportions are often constructed using large-sample methods that rely on expected cell counts of 5 or greater. In situations that give rise to a large number of categories, the cell counts may not be of adequate size
Warren L. May, William D. Johnson
core  

Multinomial logit bias reduction via Poisson log-linear model [PDF]

, 2010
It is shown how to obtain the bias-reducing penalized maximum likelihood estimator for the parameters of a multinomial logistic regression by using the equivalent Poisson log-linear model.
Firth, David, D. Firth, Firth, D., Kosmidis, Ioannis, Kosmidis, I., I. Kosmidis   +5 more
core   +1 more source

Functional Differentiation of Type II and Type I Collagen Articular Models in Synovial Fluid Film Formation and Recombinant Equine Lubricin Retention

Advanced Functional Materials, EarlyView.
Collagen II coatings support the formation of synovial fluid nanofilms, while collagen I coatings do not. Both bind recombinant equine lubricin similarly. These findings may help explain articular cartilage surface joint dysfunction, inform biomaterial design for synovial joint repair, and expand on lubricin‐based osteoarthritis therapies.
Diego R. Jaramillo Pinto, Nicolas L. Mendoza, Syeda Tajin Ahmed, Yidan Wen, Lenka Vitkova, Spencer M. Witt, Kaleb A. Cutter, Ummay Honey, Matthew J. Paszek, Heidi L. Reesink, Lawrence J. Bonassar, Kevin De France, Roberto C. Andresen Eguiluz   +12 more
wiley   +1 more source

Proboboost: A Hybrid Model for Sentiment Analysis of Kitabisa Reviews

Journal of Applied Informatics and Computing
The rapid advancement of digital technology has significantly transformed public behavior in social activities, particularly in online donations and zakat payments.
Rakan Shafy Prasetya, Amiq Fahmi, MY Teguh Sulistyono   +2 more
doaj   +1 more source

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

Advanced Healthcare Materials, EarlyView.
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei, Hesam Mohammadi, Shamim Golafshan, Mojtaba Alehosseini, Mahsa Mohammadzadeh, Atefeh Golshirazi, Nasim Golafshan, Tatiane Eufrásio‐da‐Silva, Alireza Dolatshahi‐Pirouz, Gorka Orive   +9 more
wiley   +1 more source

Resistance to Overdoping Allows Over 2000 S cm−1 Conductivity in P(g3BTTT) With Anion‐Exchange Doping

Advanced Materials, EarlyView.
Anion‐exchange doping of conjugated polymers is an effective way to achieve high conductivities. Here, we report over 2000 S cm−1 electrical conductivity for doped P(g3BTTT). In addition, we show that P(g3BTTT) sustains exceptionally high doping levels without any drop in the charge mobility.
Basil Hunger, Maximilian M. Horn, Eva Röck, Diego Rosas Villalva, Lize Bynens, Jochen Vanderspikken, Christina Kousseff, Silène Gobeil, Olivier Bardagot, Nesibe Akmanşen‐Kalayci, Sarah H. Tolbert, Iain McCulloch, Wouter Maes, Demetra Tsokkou, Natalie Banerji   +14 more
wiley   +1 more source

Knowledge, attitudes, and practices toward obesity and their determinants: a cross-sectional study

Frontiers in Public Health
BackgroundObesity remains a major global health challenge and a significant contributor to chronic diseases. This study aimed to assess knowledge, attitudes, and practices (KAP) related to obesity and to identify sociodemographic and clinical factors ...
Othman AlOmeir, Faisal Almutairi, Matar Mamdouh Alrouleh, Mohammed Baeissa, Syed Mohammed Basheeruddin Asdaq, Syed Mohammed Basheeruddin Asdaq, Rafiulla Gilkaramenthi, Majidah Abdulrazaq AlAnazi, Fayez Mohammad Alasmari, Mohammed Sharique Ahmed Quadri, Mohammed Sharique Ahmed Quadri, Shahabuddin T. Shaikh, Faiqa Nausheen   +12 more
doaj   +1 more source

Multinomial Logit Models with Implicit Variable Selection [PDF]

, 2010
Multinomial logit models which are most commonly used for the modeling of unordered multi-category responses are typically restricted to the use of few predictors. In the high-dimensional case maximum likelihood estimates frequently do not exist. In this
Tutz, Gerhard, Zahid, Faisal Maqbool
core   +1 more source

Navigating Lipid Nanostructure Design Space Through Continuous Microfluidic Automation

Advanced Materials, EarlyView.
LipidXplorer is a novel microfluidic platform which enables rapid navigation of lipid particle design space for high‐resolution phase mapping, lipid nanoparticle optimization, membrane biophysics, and functional nanomaterial discovery. It combines programmable composition control, continuous nanoparticle formation, and automated well‐plate collection ...
Bradley Diggines, Marcus Fletcher, Manuel Bibrowski, Karnyart Samnuan, Rongjun Chen, David J. Peeler, Amjad Abouselo, Morag R. Hunter, Molly M. Stevens, Nicholas J. Brooks, Yuval Elani   +10 more
wiley   +1 more source

Prediction of ICU length of stay, hospital discharge outcomes and discharge location among ICU-admitted patients diagnosed with viral hepatitis using machine learning: a retrospective cohort study of the MIMIC-IV database

BMJ Open
Background Hepatitis, a disease characterised by inflammation of the liver, is a leading global health challenge that contributes to over 1.3 million deaths annually, with hepatitis B and C accounting for many of these fatalities.
Dimple Sushma Alluri, Felix M Pabon-Rodriguez   +1 more
doaj   +1 more source