193 Result(s)
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Article
Functional Causal Inference with Time-to-Event Data
Functional data analysis has proven to be a powerful tool for capturing and analyzing complex patterns and relationships in a variety of fields, allowing for more precise modeling, visualization, and decision-...
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Article
A Simulation-Extrapolation Approach to the Analysis of Interval-Censored Failure Time Data with Mis-Measured Covariates
Interval-censored failure time data arise frequently in periodical follow-up studies including clinical trials and epidemiological surveys. In addition, some covariates may be subject to measurement errors due...
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Article
A new sufficient dimension reduction method via rank divergence
Sufficient dimension reduction is commonly performed to achieve data reduction and help data visualization. Its main goal is to identify functions of the predictors that are smaller in number than the predicto...
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Article
A flexible time-varying coefficient rate model for panel count data
Panel count regression is often required in recurrent event studies, where the interest is to model the event rate. Existing rate models are unable to handle time-varying covariate effects due to theoretical a...
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Open AccessCharacterization of zinc finger protein 536, a neuroendocrine regulator, using pan-cancer analysis
Previous studies suggested that zinc finger protein 536 (ZNF536) was abundant in the central brain and regulated neuronal differentiation. However, the role of ZNF536 in cancer has remained unclear.
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Article
Open AccessFalse-negative factors of percutaneous transluminal clamp biopsy for suspected malignant biliary stricture: 194 cases analyzed from a single center
To study the predictive factors of false negatives in the diagnosis of biliary stricture (BS) by percutaneous transluminal clamp biopsy (PTCB).
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Article
Exploratory biological coordinate analysis on 2,4-epi-brassinolide-induced the size change of leaf angle in tobacco seedlings
Leaf angle (LA) is a key plant architectural trait contributing to crop yield. The chemical 2,4-epibrassinolide (EBR) is a bioactive form of brassinosteroids (BRs) and plays a significant role in influencing p...
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Article
Variable Selection for Nonlinear Covariate Effects with Interval-Censored Failure Time Data
This paper discusses variable selection when one faces general, high-dimensional interval-censored failure time data, which commonly occur in many areas such as epidemiological, medical and public health studi...
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Article
Energy utilization potential of crustacean biomass: comprehensive evaluation of co-combustion with coal
Resource utilization of bio-waste and synergistic control of gaseous pollutants is the way to achieve low-carbon and high-quality development. Crustacean biomass is usually characterized by well-developed pore...
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Article
MaCo: efficient unsupervised low-light image enhancement via illumination-based magnitude control
This paper presents a novel low-light image enhancement (LLIE) method based on magnitude control (MaCo). Our method establishes a relationship between the low-light image and illumination, using pixel intensit...
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Article
Open AccessPrognostic significance and survival benefits of postoperative adjuvant chemotherapy in patients with stage IA lung adenocarcinoma with non-predominant micropapillary components
The prognostic significance of adjuvant chemotherapy (ACT) for patients with stage IA micropapillary non-predominant (MPNP) lung adenocarcinoma (LUAD) remains unknown. This study aimed to investigate the effec...
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Article
Population-based high-dimensional analyses identify multiple intrinsic characters for cancer vaccines against lung squamous cell carcinoma
In lung squamous cell carcinoma (LUSC), current cancer vaccines show promising effects, despite a lack of benefit for a large number of patients. We first identified the tumor antigens into shared and private ...
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Article
Open AccessBaseline C-reactive protein predicts efficacy of the first-line immune checkpoint inhibitors plus chemotherapy in advanced lung squamous cell carcinoma: a retrospective, multicenter study
To investigate the predictive value of baseline C-reactive protein (CRP) levels on the efficacy of chemotherapy plus immune checkpoint inhibitors (ICI) in patients with advanced lung squamous cell carcinoma (L...
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Article
A New Approach for Regression Analysis of Multivariate Current Status Data with Informative Censoring
Regression analysis of interval-censored failure time data has recently attracted a great deal of attention partly due to their increasing occurrences in many fields. In this paper, we discuss a type of such d...
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Article
Estimation of complier causal treatment effects with informatively interval-censored failure time data
Estimation of compiler causal treatment effects has been discussed by many authors under different situations but only limited literature exists for interval-censored failure time data, which often occur in ma...
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Article
Open AccessEvaluation of surgical revascularization procedure outcomes for adult Moyamoya disease: a computed tomography perfusion-based study
The effectiveness of surgical interventions, whether direct or indirect, for Moyamoya disease (MMD) remains controversial. This study aims to investigate CT perfusion (CTP) as an objective method to evaluate t...
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Article
Regression analysis of general mixed recurrent event data
In modern biomedical datasets, it is common for recurrent outcomes data to be collected in an incomplete manner. More specifically, information on recurrent events is routinely recorded as a mixture of recurre...
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Article
Open AccessMental health status and related influencing factors in patients with COVID-19
The outbreak of the Corona Virus Disease 2019 (COVID-2019) has resulted in a significant number of diagnosed patients requiring treatment in designated hospitals. However, limited evidence exists regarding the...
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Article
Open AccessFibronectin promotes tumor angiogenesis and progression of non-small-cell lung cancer by elevating WISP3 expression via FAK/MAPK/ HIF-1α axis and activating wnt signaling pathway
Fibronectin, an extracellular matrix protein, has been reported to be associated with heterogeneous cancer stemness, angiogenesis and progression in multiple cancer types. However, the roles and the underlying...
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Article
A semi-parametric weighted likelihood approach for regression analysis of bivariate interval-censored outcomes from case-cohort studies
The case-cohort design was developed to reduce costs when disease incidence is low and covariates are difficult to obtain. However, most of the existing methods are for right-censored data and there exists onl...