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with a new class of loss-based cross-validated algorithms in prediction of univariate and multivariate outcomes …
Persistent link: https://www.econbiz.de/10005751450
separately in the statistical literature, including multivariate outcome prediction and density estimation based on either … in genomic data analysis: the prediction of biological and clinical outcomes (possibly censored) using microarray gene …
Persistent link: https://www.econbiz.de/10005459073
-validated epsilon-net estimation methodology that covers a broad class of estimation problems, including multivariate outcome prediction …
Persistent link: https://www.econbiz.de/10005459075
An important problem in epidemiology and medical research is the estimation of a causal effect of a treatment action at a single point in time on the mean of an outcome within a population defined by strata of some of the observed covariates. Marginal structural models (MSM) are models for...
Persistent link: https://www.econbiz.de/10005751448
Cawley et al. (2004) have recently mapped the locations of binding sites for three transcription factors along human chromosomes 21 and 22 using ChIP-Chip experiments. ChIP-Chip experiments are a new approach to the genome-wide identification of transcription factor binding sites and consist of...
Persistent link: https://www.econbiz.de/10005459074
Multiple transcription factors coordinately control transcriptional regulation of genes in eukaryotes. Although multiple computational methods consider the identification of individual transcription factor binding sites (TFBSs), very few focus on the interactions between these sites. We consider...
Persistent link: https://www.econbiz.de/10005584915
Providing information about the risk of disease and clinical factors that may increase or decrease a patient's risk of disease is standard medical practice. Although case-control studies provide evidence of strong associations between diseases and risk factors, clinicians need to be able to...
Persistent link: https://www.econbiz.de/10005751449
estimators in the prediction of a univariate outcome by minimizing an empirical risk, and it uses cross-validation to select fine …
Persistent link: https://www.econbiz.de/10005246353