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Statistical and Computational Methods for Genome-Wide Association Analysis

颁布单位：[University of Michigan] | 颁布时间：2018 | 实施时间：2018 | 学科分类：[statistical genetics, Public Health, Statistics and Numeric Data, Health Sciences, Science, Biostatistics]

预览 | 原文链接 [浏览：19 下载：18]
Statistical Methods of Data Integration, Model Fusion, and Heterogeneity Detection in Big Biomedical Data Analysis

颁布单位：[University of Michigan] | 颁布时间：2018 | 实施时间：2018 | 学科分类：[Data integration, Fusion learning, Distributed computing, Regularized regression, Missing data, Longitudinal data, Public Health, Statistics and Numeric Data, Health Sciences, Science, Biostatistics]

预览 | 原文链接 [浏览：35 下载：26]
New Statistical Methods for Phase I Clinical Trials of a Single Agent

颁布单位：[University of Michigan] | 颁布时间：2017 | 实施时间：2017 | 学科分类：[Phase 1 clinical trial, Biostatistics, Dose-limiting toxicity, Adaptive design, Public Health, Statistics and Numeric Data, Health Sciences, Science, Biostatistics]

预览 | 原文链接 [浏览：27 下载：17]
Analysis of Complex Survival and Longitudinal Data in Observational Study

颁布单位：[University of Michigan] | 颁布时间：2017 | 实施时间：2017 | 学科分类：[Left Truncation, Composite Likelihoods, Cluster Analysis, Chronic Kidney Disease, Kidney Transplantation, Normative Aging Study, Public Health, Statistics and Numeric Data, Health Sciences, Science, Biostatistics]

预览 | 原文链接 [浏览：36 下载：4]
New Instrumental Variable Methods for Causal Inference.

颁布单位：[University of Michigan] | 颁布时间：2016 | 实施时间：2016 | 学科分类：[Instrumental Variables, Causal Inference, Kidney Dialysis, End Stage Renal Disease, Public Health, Statistics and Numeric Data, Health Sciences, Science, Biostatistics]

预览 | 原文链接 [浏览：55 下载：26]
Statistical and Computational Methods for Differential Expression Analysis in High-throughput Gene Expression Data

颁布单位：[University of Michigan] | 颁布时间：2016 | 实施时间：2016 | 学科分类：[RNA-Seq, differential expression, permutation tests, parametric bootstrap tests, cross-entropy, mixed models, Genetics, Public Health, Statistics and Numeric Data, Health Sciences, Science, Biostatistics]

预览 | 原文链接 [浏览：28 下载：15]
Bayesian Local Smoothing Modeling and Inference for Pre-surgical FMRI Data.

颁布单位：[University of Michigan] | 颁布时间：2016 | 实施时间：2016 | 学科分类：[Bayesian analysis, fMRI analysis, pre-surgical mapping, spatially adaptive CAR models, loss function, Neurosciences, Public Health, Statistics and Numeric Data, Health Sciences, Science, Biostatistics]

预览 | 原文链接 [浏览：23 下载：29]
Efficient Inferential Methods in Regression Models with Change Points or High Dimensional Covariates.

颁布单位：[University of Michigan] | 颁布时间：2015 | 实施时间：2015 | 学科分类：[change-points, variable selection, multiple pollutant model, local smoothing, thresholded ridge regression, broken-stick, Public Health, Statistics and Numeric Data, Health Sciences, Science, Biostatistics]

预览 | 原文链接 [浏览：31 下载：3]
Robust and Semiparametric Statistical Modeling for Cancer Research.

颁布单位：[University of Michigan] | 颁布时间：2015 | 实施时间：2015 | 学科分类：[Robust statistics, Semiparametric methods, Binary regression, Survival analysis, Semicontinuous data, Public Health, Statistics and Numeric Data, Health Sciences, Science, Biostatistics]

预览 | 原文链接 [浏览：38 下载：17]
Using P-Splines to Estimate Nonlinear Covariate Effects in Latent Factor Models.

颁布单位：[University of Michigan] | 颁布时间：2015 | 实施时间：2015 | 学科分类：[latent factor model, P-spline, semiparametric method, EM algorithm, non-constant factor loading, overall exposure effect, Public Health, Statistics and Numeric Data, Health Sciences, Science, Biostatistics]

预览 | 原文链接 [浏览：23 下载：16]