Results 51 to 60 of about 512,844 (338)
Sensitivity analysis in multiple imputation in effectiveness studies of psychotherapy.
The importance of preventing and treating incomplete data in effectiveness studies is nowadays emphasized. However, most of the publications focus on randomized clinical trials.
Aureliano eCrameri +5 more
doaj +1 more source
Purpose: Both subcutaneous immunotherapy (SCIT) and sublingual immunotherapy (SLIT) are effective in reducing symptoms and medication scores and inducing long-term efficacy in patients with allergic rhinitis (AR).
Huan Chen +10 more
doaj +1 more source
Altitude Training: Strong Bounds for Single-Layer Dropout [PDF]
Dropout training, originally designed for deep neural networks, has been successful on high-dimensional single-layer natural language tasks. This paper proposes a theoretical explanation for this phenomenon: we show that, under a generative Poisson topic
Fithian, William +3 more
core +1 more source
Objective This study assessed sarilumab in treating patients with polyarticular‐course juvenile idiopathic arthritis (pcJIA). Methods This phase 2b, open‐label study (NCT02776735) consisted of three sequential parts (each with a core‐treatment and extension phase).
Fabrizio De Benedetti +19 more
wiley +1 more source
Herbesoek en herontwikkeling van leermateriaal en kurrikulum vir geloofsvorming
Revisiting and redeveloping learning materials and curriculum for faith formation. Amidst the bustling activity of various congregations and denominations, the junior and senior catechism curriculum often proceeds without deliberate design.
Jacques W. Beukes
doaj +1 more source
Freshmen Program Withdrawal: Types and Recommendations
University program dropout is a problem that has important consequences not only for the student that leaves but also for the institution in which the withdrawal occurs.
Ana Bernardo +5 more
doaj +1 more source
Dropout Training as Adaptive Regularization [PDF]
Dropout and other feature noising schemes control overfitting by artificially corrupting the training data. For generalized linear models, dropout performs a form of adaptive regularization.
Liang, Percy, Wager, Stefan, Wang, Sida
core +3 more sources
Cognitive Behavioral Therapy for Youth With Childhood‐Onset Lupus: A Randomized Clinical Trial
Objective Our objective was to determine the feasibility and acceptability of the Treatment and Education Approach for Childhood‐Onset Lupus (TEACH), a six‐session cognitive behavioral intervention addressing depressive, fatigue, and pain symptoms, delivered remotely to individual youth with lupus by a trained interventionist.
Natoshia R. Cunningham +29 more
wiley +1 more source
Identifying Attrition Phases in Survey Data: Applicability and Assessment Study [PDF]
Background: Although Web-based questionnaires are an efficient, increasingly popular mode of data collection, their utility is often challenged by high participant dropout. Researchers can gain insight into potential causes of high participant dropout by
Hochheimer, Camille J. +4 more
core +1 more source
Adversarial Dropout for Supervised and Semi-supervised Learning
Recently, the training with adversarial examples, which are generated by adding a small but worst-case perturbation on input examples, has been proved to improve generalization performance of neural networks. In contrast to the individually biased inputs
Moon, Il-Chul +3 more
core +1 more source

