Pages that link to "Item:Q2033300"
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The following pages link to Integrative analysis of multiple types of genomic data using an accelerated failure time frailty model (Q2033300):
Displaying 12 items.
- Identification of breast cancer prognosis markers via integrative analysis (Q1927047) (← links)
- Sliced inverse regression for integrative multi-omics data analysis (Q2324966) (← links)
- A statistical framework for pathway and gene identification from integrative analysis (Q2400810) (← links)
- Capturing heterogeneity of covariate effects in hidden subpopulations in the presence of censoring and large number of covariates (Q2415472) (← links)
- Penalized integrative analysis under the accelerated failure time model (Q2796865) (← links)
- Integrative analysis of prognosis data on multiple cancer subtypes (Q2927593) (← links)
- Bayesian data integration and variable selection for pan‐cancer survival prediction using protein expression data (Q5128803) (← links)
- A Bayesian integrative approach for multi‐platform genomic data: A kidney cancer case study (Q5283319) (← links)
- Omnibus Risk Assessment via Accelerated Failure Time Kernel Machine Modeling (Q5408006) (← links)
- A Frailty‐Model‐Based Approach to Estimating the Age‐Dependent Penetrance Function of Candidate Genes Using Population‐Based Case‐Control Study Designs: An Application to Data on the BRCA1 Gene (Q5850959) (← links)
- Integration of survival data from multiple studies (Q6055679) (← links)
- Two-Level Bayesian Interaction Analysis for Survival Data Incorporating Pathway Information (Q6055748) (← links)
