
Statistical methods for tissue array images  algorithmic scoring and cotraining
Recent advances in tissue microarray technology have allowed immunohisto...
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Survival analysis of DNA mutation motifs with penalized proportional hazards
Antibodies, an essential part of our immune system, develop in an intric...
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Generating survival times using Cox proportional hazards models with cyclic timevarying covariates, with application to a multipledose monoclonal antibody clinical trial
In two harmonized efficacy studies to prevent HIV infection through mult...
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Pharmacokinetics Simulations for Studying Correlates of Prevention Efficacy of Passive HIV1 Antibody Prophylaxis in the Antibody Mediated Prevention (AMP) Study
A key objective in two phase 2b AMP clinical trials of VRC01 is to evalu...
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Penaltybased spatial smoothing and outlier detection for childhood obesity surveillance from electronic health records
Childhood obesity is associated with increased morbidity and mortality i...
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Test for Incremental Value of New Biomarkers Based on OR Rules
In early detection of disease, a single biomarker often has inadequate c...
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Selective Clustering Annotated using Modes of Projections
Selective clustering annotated using modes of projections (SCAMP) is a n...
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An explicit meancovariance parameterization for multivariate response linear regression
We develop a new method to fit the multivariate response linear regressi...
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Gaussian process regression for survival time prediction with genomewide gene expression
Predicting the survival time of a cancer patient based on his/her genome...
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Systematic Exploration of the High Likelihood Set of Phylogenetic Tree Topologies
Bayesian Markov chain Monte Carlo explores tree space slowly, in part be...
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19 dubious ways to compute the marginal likelihood of a phylogenetic tree topology
The marginal likelihood of a model is a key quantity for assessing the e...
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Efficient augmentation and relaxation learning for individualized treatment rules using observational data
Individualized treatment rules aim to identify if, when, which, and to w...
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Ksample omnibus nonproportional hazards tests based on rightcensored data
This work presents novel and powerful tests for comparing nonproportion...
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Selecting Biomarkers for building optimal treatment selection rules using Kernel Machines
Optimal biomarker combinations for treatmentselection can be derived by...
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On Data Enriched Logistic Regression
Biomedical researchers usually study the effects of certain exposures on...
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The Rockerverse: Packages and Applications for Containerization with R
The Rocker Project provides widelyused Docker images for R across diffe...
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Efficient nonparametric inference on the effects of stochastic interventions under twophase sampling, with applications to vaccine efficacy trials
The advent and subsequent widespread availability of preventive vaccines...
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Efficient nonparametric statistical inference on population feature importance using Shapley values
The true populationlevel importance of a variable in a prediction task ...
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Estimation and inference on highdimensional individualized treatment rule in observational data using splitandpooled decorrelated score
With the increasing adoption of electronic health records, there is an i...
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Estimating Causal Effects of NonRandomized HIV Prevention Interventions with Interference in Networkbased Studies among People who Inject Drugs
Evaluating causal effects in the presence of interference is challenging...
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Direct estimation of differential Granger causality between two highdimensional time series
Differential Granger causality, that is understanding how Granger causal...
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Fred Hutchinson Cancer Research Center
The Fred Hutchinson Cancer Research Center, also known as Fred Hutch or The Hutch, is a cancer research institute established in 1972 in Seattle, Washington.