Results 1 to 10 of about 9,520,612 (176)

lslx: Semi-Confirmatory Structural Equation Modeling via Penalized Likelihood

open access: yesJournal of Statistical Software, 2020
Sparse estimation via penalized likelihood (PL) is now a popular approach to learn the associations among a large set of variables. This paper describes an R package called lslx that implements PL methods for semi-confirmatory structural equation ...
Po-Hsien Huang
doaj   +1 more source

Platform study of genotyping-guided precision medicine for rare solid tumours: a study protocol for a phase II, non-randomised, 18-month, open-label, multiarm, single-centre clinical trial testing the safety and efficacy of multiple Chinese-approved targeted drugs and PD-1 inhibitors in the treatment of metastatic rare tumours

open access: yesBMJ Open, 2021
Introduction Limited clinical studies have been conducted on rare solid tumours, and there are few guidelines on the diagnosis and treatment, including experiences with targeted therapy and immunotherapy, of rare solid tumours in China, resulting in ...
Hui Wang   +22 more
doaj   +1 more source

Sequential Minimax Search for Multi-Layer Gene Grouping

open access: yesIEEE Access, 2019
Many areas of exploratory data analysis need to deal with high-dimensional data sets. Some real life data like human gene have an inherent structure of hierarchy, which embeds multi-layer feature groups.
Wenting Wang   +3 more
doaj   +1 more source

Efficacy, safety and dose selection of AZD3759 in patients with untreated EGFR-mutated non-small-cell lung cancer and central nervous system metastases in China (CTONG1702-Arm 8): a multi-center, single-arm, phase 2 trialResearch in context

open access: yesEClinicalMedicine, 2023
Summary: Background: Central nervous system (CNS) metastases is inevitable for epidermal growth factor receptor (EGFR)-mutant non-small cell lung cancer (NSCLC). AZD3759 is a novel EGFR-TKI with impressive CNS penetration.
Si-Yang Maggie Liu   +25 more
doaj   +1 more source

Accounting for grouped predictor variables or pathways in high-dimensional penalized Cox regression models

open access: yesBMC Bioinformatics, 2020
Background The standard lasso penalty and its extensions are commonly used to develop a regularized regression model while selecting candidate predictor variables on a time-to-event outcome in high-dimensional data. However, these selection methods focus
Shaima Belhechmi   +3 more
doaj   +1 more source

Favoring the hierarchical constraint in penalized survival models for randomized trials in precision medicine

open access: yesBMC Bioinformatics, 2023
Background The research of biomarker-treatment interactions is commonly investigated in randomized clinical trials (RCT) for improving medicine precision. The hierarchical interaction constraint states that an interaction should only be in a model if its
Shaima Belhechmi   +4 more
doaj   +1 more source

On invariant ideals in crossed products of torsion-free minimax nilpotent groups

open access: yesResearches in Mathematics
Let $R$ be a finitely generated commutative domain and let $N$ be a nilpotent minimax torsion-free group acted by a solvable group of operators $G$ of finite rank.
A.V. Tushev
doaj   +1 more source

Machine learning approaches to characterize the obesogenic urban exposome

open access: yesEnvironment International, 2022
Background: Characteristics of the urban environment may contain upstream drivers of obesity. However, research is lacking that considers the combination of environmental factors simultaneously.
Haykanush Ohanyan   +7 more
doaj   +1 more source

Estimating Slump Flow and Compressive Strength of Self-Compacting Concrete Using Emotional Neural Networks

open access: yesApplied Sciences, 2020
The characteristics of fresh and hardened self-compacting concrete (SCC) are an essential requirement for construction projects. Moreover, the sensitivity of admixture contents of SCC in these properties is highly impacted by that cost. The current study
Mosbeh R. Kaloop   +3 more
doaj   +1 more source

Introducing an efficient model for the prediction of placenta accreta spectrum using the MCP regression approach based on sonography indexes: how efficient is sonography in diagnosing accreta?

open access: yesBMC Pregnancy and Childbirth, 2020
Background For the first time, we aimed to introduce a model for prediction of placenta accreta spectrum (PAS), using existing sonography indices. Methods Women with a history of Cesarean sections were included.
Mahboobeh Boroomand fard   +6 more
doaj   +1 more source

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