An important step in developing individualized treatment strategies is correct identification of subgroups a heterogeneous population to allow specific for each subgroup. This article considers the problem using samples drawn from consisting with different mean values, along certain covariates. We propose penalized approach subgroup analysis based on regression model, which heterogeneity driven by unobserved latent factors and thus can be represented subject-specific intercepts. apply...

Functional data analysis has received considerable recent attention and a number of successful applications have been reported. In this paper, asymptotically simultaneous confidence bands are obtained for the mean function functional regression model, using piecewise constant spline estimation. Simulation experiments corroborate asymptotic theory. The band procedure is illustrated by analyzing CD4 cell counts HIV infected patients.

In quantile linear regression with ultrahigh-dimensional data, we propose an algorithm for screening all candidate variables and subsequently selecting relevant predictors. Specifically, first employ partial correlation screening, then apply the extended Bayesian information criterion (EBIC) best subset selection. Our proposed method can successfully select predictors when are highly correlated, it also identify that make a contribution to conditional quantiles but marginally uncorrelated or...

It has been a long history of using interactions in regression analysis to investigate alterations covariate-effects on response variables. In this article, we aim address two kinds new challenges arising from the inclusion such high-order effects model for complex data. The first kind concerns situation where interaction individual covariates are weak but those combined strong, and other pertains presence nonlinear interactive directed by low-effect covariates. We propose class...

Summary We consider the problem of estimating a relationship nonparametrically using regression splines when there exist both continuous and categorical predictors. combine global properties with local kernel functions to handle presence predictors rather than resorting sample splitting as is typically done accommodate their presence. The resulting estimator possesses substantially better finite‐sample performance either its frequency‐based peer or cross‐validated linear even additive (when...

Single index models offer greater flexibility in data analysis than linear but retain some of the desirable properties such as interpretability coefficients. We consider a pseudo-profile likelihood approach to estimation and testing for single-index quantile regression models. establish asymptotic normality coefficient estimator well optimal convergence rate nonparametric function estimation. Moreover, we propose score test based on gradient likelihood, employ penalized procedure perform...

Efficient human-to-human transmission is a prerequisite for novel influenza virus to cause an pandemic; however, the genetic determinants of are still not fully understood. In this study, we compared respiratory droplet transmissibilities four H7N9 viruses that closely related and found these have dissimilar in guinea pigs: A/Anhui/1/2013 (AH/1) transmitted efficiently, whereas other three did transmit. The nontransmissible one eight amino acid differences with AH/1 virus. To investigate...

Abstract Understanding treatment heterogeneity is essential to the development of precision medicine, which seeks tailor medical treatments subgroups patients with similar characteristics. One challenges achieving this goal that we usually do not have a priori knowledge grouping information respect effect. To address problem, consider heterogeneous regression model allows coefficients for variables be subject-dependent unknown information. We develop concave fusion penalized method...

Depression classification often relies on multimodal features, but existing models struggle to capture the similarity between features. Moreover, social stigma surrounding depression leads limited availability of datasets, which constrains model accuracy. This study aims improve recognition methods by proposing a Multimodal Generation-Text Classification Model. The introduces Multimodal-Deep-Extract-Feature Net both long- and short-term sequential A Dual Text Contrastive Learning Module is...

Extensive literature has been proposed for the analysis of correlated survival data. Subjects within a cluster share some common characteristics, e.g., genetic and environmental factors, so their time-to-event outcomes are correlated. The frailty model under proportional hazards assumption widely applied clustered outcomes. However, prediction performance this method can be less satisfactory when risk factors have complicated effects, nonlinear interactive. To deal with these issues, we...

Abstract Bulky particles of TS‐1 zeolite (larger than 20 μm) are successfully collected by simple filtration after crystallization in the presence H 2 O . (B‐TS‐1) has good stability under both ultrasonic conditions and recycling catalyst. Nitrogen isotherms show that B‐TS‐1 a larger mesopore volume (0.55 cm 3 g −1 ) conventional nanocrystals (N‐TS‐1; less 300 nm) obtained from high‐speed centrifugation (0.28 ). In catalytic hydroxylation phenol with , fresh (25 %) recycled (24 similar high...

Abstract Motivation: The genetic basis of complex traits often involves the function multiple factors, their interactions and interaction between environmental factors. Gene–environment (G×E) is considered pivotal in determining trait variations susceptibility many disorders such as neurodegenerative diseases or mental disorders. Regression-based methods assuming a linear relationship disease response factors well commonly used approach detecting G×E interaction. linearity assumption,...

We consider the problem of simultaneous variable selection and estimation in additive, partially linear models for longitudinal/clustered data. propose an procedure via polynomial splines to estimate nonparametric components apply proper penalty functions achieve sparsity part. Under reasonable conditions, we obtain asymptotic normality estimators consistency components. further demonstrate that, with choice regularization parameter, penalized non-zero coefficients oracle property. The...

The organotemplate-free route for syntheses of aluminosilicate ZSM-34 zeolite and its heteroatom-substituted analogues (B, Ga, Fe) in the presence L seeds solution has been extensively investigated. Many factors such as amount solution, SiO2/Na2O ratio starting gel, crystallization temperature, time influence significantly. pure phase could only be obtained a narrow diagram Na2O−Al2O3−SiO2−H2O by comprehensive consideration these factors. Heteroatoms B, Fe substituted zeolites can also...

Efficient transmission from human to is the prerequisite for an influenza virus cause a pandemic; however, molecular determinants of are still largely unknown. In this study, we explored basis Eurasian avian-like H1N1 (EAH1N1) swine viruses by comparing two that genetically similar but differ in their transmissibility guinea pigs: A/swine/Guangxi/18/2011 (GX/18) highly transmissible respiratory droplet pigs, whereas A/swine/Heilongjiang/27/2012 (HLJ/27) does not transmit animal model. We...

Comprehensively understanding how the policy influences sustainability transition of automotive industry is a critical focus in recent years. This paper focuses on dual-credit policy, an underexplored but China, and examines it would influence industry. To achieve this goal, SD model developed to simulate effect parameters objectives by considering interaction production, technology market. The findings reveal that can general promote sustainable development greatly decreasing its overall...