Pages that link to "Item:Q312961"
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The following pages link to Regression analysis for microbiome compositional data (Q312961):
Displaying 41 items.
- Flexible non-parametric regression models for compositional data (Q69799) (← links)
- Variable selection in regression with compositional covariates (Q138024) (← links)
- Log-Contrast Regression with Functional Compositional Predictors: Linking Preterm Infant's Gut Microbiome Trajectories to Neurobehavioral Outcome (Q138028) (← links)
- Rare Feature Selection in High Dimensions (Q149281) (← links)
- Regression analysis for microbiome compositional data (Q312961) (← links)
- Statistical models and computational algorithms for discovering relationships in microbiome data (Q523934) (← links)
- Statistical analysis of microbiome data with R (Q1622658) (← links)
- A Bayesian model of microbiome data for simultaneous identification of covariate associations and prediction of phenotypic outcomes (Q2044272) (← links)
- Some aspects of non-standard multivariate analysis (Q2062764) (← links)
- Robust logistic zero-sum regression for microbiome compositional data (Q2089290) (← links)
- A decomposition method for Lasso problems with zero-sum constraint (Q2106751) (← links)
- Penalized and constrained LAD estimation in fixed and high dimension (Q2122803) (← links)
- A Bayesian framework for identifying consistent patterns of microbial abundance between body sites (Q2195285) (← links)
- Robust regression with compositional covariates (Q2242144) (← links)
- Compositional data: the sample space and its structure (Q2273168) (← links)
- Compositional mediation analysis for microbiome studies (Q2415486) (← links)
- Algorithms for Fitting the Constrained Lasso (Q3391167) (← links)
- (Q4969143) (← links)
- High-dimensional count and compositional data analysis in\\ microbiome studies (Q5063802) (← links)
- An adaptive independence test for microbiome community data (Q5128819) (← links)
- Statistical analysis of microbiome data with R. YinglinXia, JunSun, Ding‐GenChen. (2018). Singapore: Springer. 505 pages, ISBN: 978‐981‐13‐1533‐6 (Q5213431) (← links)
- Generalized linear models with linear constraints for microbiome compositional data (Q5214468) (← links)
- A Logistic Normal Multinomial Regression Model for Microbiome Compositional Data Analysis (Q5408029) (← links)
- Compositional knockoff filter for high‐dimensional regression analysis of microbiome data (Q6052220) (← links)
- Utilizing stability criteria in choosing feature selection methods yields reproducible results in microbiome data (Q6055642) (← links)
- It's All Relative: Regression Analysis with Compositional Predictors (Q6055885) (← links)
- Assessing mediating effects of high‐dimensional microbiome measurements in dietary intervention studies (Q6064183) (← links)
- Globally Adaptive Longitudinal Quantile Regression With High Dimensional Compositional Covariates (Q6069869) (← links)
- Bayesian compositional regression with structured priors for microbiome feature selection (Q6076494) (← links)
- A folded model for compositional data analysis (Q6080820) (← links)
- A dual semismooth Newton based augmented Lagrangian method for large-scale linearly constrained sparse group square-root Lasso problems (Q6111345) (← links)
- Identification of microbial features in multivariate regression under false discovery rate control (Q6113732) (← links)
- A review of compositional data analysis and recent advances (Q6115037) (← links)
- Robust Signal Recovery for High-Dimensional Linear Log-Contrast Models with Compositional Covariates (Q6190704) (← links)
- A new parameterization for elliptically symmetric angular Gaussian distributions of arbitrary dimension (Q6200880) (← links)
- A robust knockoff filter for sparse regression analysis of microbiome compositional data (Q6538418) (← links)
- A flexible Bayesian tool for CoDa mixed models: logistic-normal distribution with Dirichlet covariance (Q6570343) (← links)
- Multivariate log-contrast regression with sub-compositional predictors: testing the association between preterm infants' gut microbiome and neurobehavioral outcomes (Q6622262) (← links)
- FDR control for linear log-contrast models with high-dimensional compositional covariates (Q6626696) (← links)
- Principal component analysis for zero-inflated compositional data (Q6626711) (← links)
- Factor Augmented Inverse Regression and its Application to Microbiome Data Analysis (Q6631696) (← links)
