Results 121 to 130 of about 2,425,653 (248)

Clinical Impact of MGMT Promoter Methylation in IDH‐Mutant Gliomas: Influence of Threshold Selection and Clinical Confounding

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background The clinical relevance of MGMT promoter methylation in IDH‐mutant gliomas remains controversial in the era of molecular classification. We aimed to systematically evaluate its clinical relevance by integrating quantitative assessment, cutoff exploration, and adjustment for clinical confounding.
Haihui Jiang, Linxi Cao, Xiaodong Chen, Siqi Tong, Qinghui Zhu, Jun Yang, Song Lin, Yong Cui   +7 more
wiley   +1 more source

Confidence Intervals on the Join Point in Segmented Regression [PDF]

, 1982
This issue was undated. The date given is an estimate.17 pages, 1 article*Confidence Intervals on the Join Point in Segmented Regression* (Piegorsch, Walter W.) 17 ...
Piegorsch, Walter W., Cornell University. Dept. of Biological Statistics and Computational Biology., Cornell University. Biometrics Unit., Cornell University. Dept. of Biometrics.   +3 more
core   +2 more sources

Transición de madera juvenil a madura en un clon de Populus deltoides implantado en Buenos Aires Argentina Juvenile to mature wood transition in one clone of Populus deltoides implanted in Buenos Aires, Argentine

Maderas: Ciencia y Tecnología, 2013
El objetivo del trabajo fue determinar la edad de transición de madera juvenil a madura a partir de las propiedades de la madera en un clon de álamo.
Ana C Cobas, María C Area, Silvia Monteoliva   +2 more
doaj  

Predictive Models of Adult Distance Learners' Academic Performance: Comparative Analysis of Two Regression-based Models of Path Analysis [PDF]

, 2011
Using two regression-based models, this study looked into factors that explain academic performance of adult distance learners. The efficiency and applicability of linear regression and logit regression procedures as statistical models for path analysis ...
Quimbo, Maria Ana T.
core  

Artificial Intelligence in Systemic Sclerosis: Clinical Applications, Challenges, and Future Directions

Arthritis Care &Research, EarlyView.
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos, José Miguel Sequí‐Sabater, Diego Benavent   +2 more
wiley   +1 more source

Handling Missing Values in Interrupted Time Series Analysis of Longitudinal Individual-Level Data

Clinical Epidemiology, 2020
Juan Carlos Bazo-Alvarez,1,2 Tim P Morris,3 Tra My Pham,3 James R Carpenter,3,4 Irene Petersen1,5 1Research Department of Primary Care and Population Health, University College London (UCL), London, UK; 2Instituto de Investigación, Universidad Cat&
Bazo-Alvarez JC, Morris TP, Pham TM, Carpenter JR, Petersen I   +4 more
doaj  

Mixture of bivariate Poisson regression models with an application to insurance [PDF]

In a recent paper Bermúdez [2009] used bivariate Poisson regression models for ratemaking in car insurance, and included zero-inflated models to account for the excess of zeros and the overdispersion in the data set. In the present paper, we revisit this
Lluís Bermúdez, Dimitris Karlis
core  

The Gut–Heart Axis in Systemic Sclerosis: Evidence From a Large Prospective Early Disease Cohort

Arthritis Care &Research, EarlyView.
Objective Cardiac involvement significantly impacts prognosis in systemic sclerosis (SSc), highlighting the need for early risk stratification. Gastrointestinal (GI) symptoms are common and often manifest early. Emerging data suggest a link between GI and cardiac manifestations, possibly through shared mechanisms like dysautonomia.
Francesca R. Di Ciommo, Ashish P. Balar, Aidan K. Strother, Subhash Kulkarni, Michael Hughes, Brian Skaug, Maureen D. Mayes, Shervin Assassi, Ali Y. Ayla, Zsuzsanna H. McMahan   +9 more
wiley   +1 more source

Engagement Patterns With an Artificial Intelligence Health Coach for Systemic Sclerosis Self‐Management: A Mixed Methods Study

Arthritis Care &Research, EarlyView.
Objective To evaluate utility of an artificial intelligence (AI) health coach for systemic sclerosis (SSc) self‐management and identify patterns associated with participant engagement. Methods We conducted a mixed methods study in which an AI health coach, powered by a large language model (LLM), was used to support self‐management for SSc.
Nirali Shah, Melanie Morris, Cristina Daraban, Sophia Johnson, Susan L. Murphy   +4 more
wiley   +1 more source

Bias in Citation Visibility: Temporal Dynamics and the Unequal Life Cycle of Academic Articles—Evidence from SME and Internationalization Research

Publications
This study analyzes the temporal evolution of citations received by academic articles in the field of micro, small, and medium-sized enterprises (SMEs) and internationalization processes, with the aim of identifying patterns of growth and decline in ...
Reyner Pérez-Campdesuñer, Alexander Sánchez-Rodríguez, Rodobaldo Martínez-Vivar, Margarita De Miguel-Guzmán, Gelmar García-Vidal   +4 more
doaj   +1 more source