Article
Publicly Available
A Resampling-Based Approach to Multiple Testing with Uncertainty in Phase
-
Andrea S Foulkes
Published/Copyright:
January 28, 2007
Published Online: 2007-1-28
©2011 Walter de Gruyter GmbH & Co. KG, Berlin/Boston
Articles in the same Issue
- Article
- Conditional Likelihood Inference in a Case-Cohort Design: An Application to Haplotype Analysis
- A Resampling-Based Approach to Multiple Testing with Uncertainty in Phase
- Causal Effect Models for Realistic Individualized Treatment and Intention to Treat Rules
- A Doubly Robust Censoring Unbiased Transformation
- Regression Analysis of Mean Lifetime: Exploring Nonlinear Relationship with Heteroscedasticity
- Statistical Learning of Origin-Specific Statically Optimal Individualized Treatment Rules
- Survival Instantaneous Log-odds Ratio from Empirical Functions
- The Analysis of Bivariate Truncated Data Using the Clayton Copula Model
- Phase Variation in Child and Adolescent Growth
- An Integrated Analysis of Individual and Aggregated Health Data Using Estimating Equations
- The Benjamini-Hochberg Method in the Case of Discrete Test Statistics
- Multiple Imputation and Random Forests (MIRF) for Unobservable, High-Dimensional Data
- Modeling the Effect of Alzheimer's Disease on Mortality
- Preference-Based Instrumental Variable Methods for the Estimation of Treatment Effects: Assessing Validity and Interpreting Results
Keywords for this article
multiple testing;
resampling;
genotype;
haplotype;
covariates;
phase;
HIV-1;
lipids
Articles in the same Issue
- Article
- Conditional Likelihood Inference in a Case-Cohort Design: An Application to Haplotype Analysis
- A Resampling-Based Approach to Multiple Testing with Uncertainty in Phase
- Causal Effect Models for Realistic Individualized Treatment and Intention to Treat Rules
- A Doubly Robust Censoring Unbiased Transformation
- Regression Analysis of Mean Lifetime: Exploring Nonlinear Relationship with Heteroscedasticity
- Statistical Learning of Origin-Specific Statically Optimal Individualized Treatment Rules
- Survival Instantaneous Log-odds Ratio from Empirical Functions
- The Analysis of Bivariate Truncated Data Using the Clayton Copula Model
- Phase Variation in Child and Adolescent Growth
- An Integrated Analysis of Individual and Aggregated Health Data Using Estimating Equations
- The Benjamini-Hochberg Method in the Case of Discrete Test Statistics
- Multiple Imputation and Random Forests (MIRF) for Unobservable, High-Dimensional Data
- Modeling the Effect of Alzheimer's Disease on Mortality
- Preference-Based Instrumental Variable Methods for the Estimation of Treatment Effects: Assessing Validity and Interpreting Results