Pages that link to "Item:Q5449906"

The following pages link to Semiparametric Regression of Multidimensional Genetic Pathway Data: Least‐Squares Kernel Machines and Linear Mixed Models (Q5449906):

Displaying 49 items.

• Detection boundary and higher criticism approach for rare and weak genetic effects (Q400613) (← links)
• A mixed effects least squares support vector machine model for classification of longitudinal data (Q425667) (← links)
• Repeated measures semiparametric regression using targeted maximum likelihood methodology with application to transcription factor activity discovery (Q458271) (← links)
• An asymptotically minimax kernel machine (Q464460) (← links)
• Structured, sparse regression with application to HIV drug resistance (Q641120) (← links)
• A novel power-based approach to Gaussian kernel selection in the kernel-based association test (Q670183) (← links)
• Gene-centric gene-gene interaction: a model-based kernel machine method (Q714370) (← links)
• Bayesian binary kernel probit model for microarray based cancer classification and gene selection (Q961916) (← links)
• Statistical methods and challenges in connectome genetics (Q1642390) (← links)
• Semiparametric kernel-based regression for evaluating interaction between pathway effect and covariate (Q1654561) (← links)
• Goodness-of-fit test for nonparametric regression models: smoothing spline ANOVA models as example (Q1662327) (← links)
• Pathway-based kernel boosting for the analysis of genome-wide association studies (Q1705355) (← links)
• Incorporating auxiliary information for improved prediction using combination of kernel machines (Q1731238) (← links)
• Statistical properties on semiparametric regression for evaluating pathway effects (Q1931362) (← links)
• Explicit connections between longitudinal data analysis and kernel machines (Q1952003) (← links)
• Semiparametric regression during 2003--2007 (Q1952023) (← links)
• Network differential connectivity analysis (Q2080732) (← links)
• Kernel machine and distributed lag models for assessing windows of susceptibility to environmental mixtures in children's health studies (Q2154219) (← links)
• Nonlinear predictive directions in clinical trials (Q2157508) (← links)
• Kernel machines with missing responses (Q2209830) (← links)
• Rejoinder: Linear mixed models with endogenous covariates: modeling sequential treatment effects with application to a mobile health study (Q2218070) (← links)
• Bayesian semiparametric model for pathway-based analysis with zero-inflated clinical outcomes (Q2363720) (← links)
• Equivalence of kernel machine regression and kernel distance covariance for multidimensional phenotype association studies (Q2803506) (← links)
• A novel random effect model for GWAS meta-analysis and its application to trans-ethnic meta-analysis (Q2827217) (← links)
• Powerful tests for detecting a gene effect in the presence of possible gene-gene interactions using garrote kernel machines (Q2893383) (← links)
• Kernel Machine Approach to Testing the Significance of Multiple Genetic Markers for Risk Prediction (Q3100801) (← links)
• Nonparametric pathway-based regression models for analysis of genomic data (Q3592103) (← links)
• A Fast and Accurate Approximation to the Distributions of Quadratic Forms of Gaussian Variables (Q5083380) (← links)
• Composite kernel machine regression based on likelihood ratio test for joint testing of genetic and gene–environment interaction effect (Q5214523) (← links)
• A Geometric Perspective on the Power of Principal Component Association Tests in Multiple Phenotype Studies (Q5242443) (← links)
• Omnibus Risk Assessment via Accelerated Failure Time Kernel Machine Modeling (Q5408006) (← links)
• Linear Score Tests for Variance Components in Linear Mixed Models and Applications to Genetic Association Studies (Q5408009) (← links)
• Testing and estimation in marker‐set association study using semiparametric quantile regression kernel machine (Q5739258) (← links)
• A significance test for graph‐constrained estimation (Q5739274) (← links)
• A Cross-Validated Ensemble Approach to Robust Hypothesis Testing of Continuous Nonlinear Interactions: Application to Nutrition-Environment Studies (Q5885081) (← links)
• Sequence Robust Association Test for Familial Data (Q6056293) (← links)
• Unified Tests for Nonparametric Functions in RKHS With Kernel Selection and Regularization (Q6086171) (← links)
• Generalized matrix decomposition regression: estimation and inference for two-way structured data (Q6138615) (← links)
• Bayesian pathway selection (Q6176243) (← links)
• Kernel Cox partially linear regression: building predictive models for cancer patients' survival (Q6560452) (← links)
• Joint semiparametric kernel network regression (Q6560519) (← links)
• Global test for high-dimensional mediation: testing groups of potential mediators (Q6624707) (← links)
• A weighted kernel machine regression approach to environmental pollutants and infertility (Q6625687) (← links)
• Modeling the health effects of time-varying complex environmental mixtures: mean field variational Bayes for lagged kernel machine regression (Q6625918) (← links)
• Bayesian kernel machine regression-causal mediation analysis (Q6626741) (← links)
• Incorporating biological knowledge in analyses of environmental mixtures and health (Q6626824) (← links)
• Ridge-penalized adaptive mantel test and its application in imaging genetics (Q6628028) (← links)
• Performance of variable and function selection methods for estimating the nonlinear health effects of correlated chemical mixtures: a simulation study (Q6629851) (← links)
• Functional Integrative Bayesian Analysis of High-Dimensional Multiplatform Clinicogenomic Data (Q6651357) (← links)