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Detecting and Correcting Contamination in Genetic Data.

颁布单位：[University of Michigan] | 颁布时间：2016 | 实施时间：2016 | 学科分类：[contamination, genetic sequencing, Genetics, Statistics and Numeric Data, Science, Biostatistics]

预览 | 原文链接 [浏览：25 下载：7]
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：29 下载：15]
Statistical Methods in Population Genetics for Next-Generation Sequencing Data

颁布单位：[University of Michigan] | 颁布时间：2016 | 实施时间：2016 | 学科分类：[population genetics, next generation sequencing, Genetics, Mathematics, Science (General), Statistics and Numeric Data, Health Sciences, Science, Biostatistics]

预览 | 原文链接 [浏览：23 下载：2]
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：57 下载：26]
High Dimensional Dependent Data Analysis for Neuroimaging.

颁布单位：[University of Michigan] | 颁布时间：2016 | 实施时间：2016 | 学科分类：[High dimensional dependent data, Neuroimaging, Multiple testing, Hidden Markov random field, Covariance/precision matrix estimation, Polynomial-decay-dominated temporal dependence, Statistics and Numeric Data, Science, Biostatistics]

预览 | 原文链接 [浏览：18 下载：13]
Assessment and Improvement of a Sequential Regression Multivariate Imputation Algorithm.

颁布单位：[University of Michigan] | 颁布时间：2016 | 实施时间：2016 | 学科分类：[Missing Data Multiple Imputation, Sequential Regression Multivariate Imputation, Compatible Conditional Specifications, Block-specific Sequential Regression Multivariate Imputation, Sequential Regression Multivariate Imputation by Quasi-Likelihood Regression Models, Statistics and Numeric Data, Science, Biostatistics]

预览 | 原文链接 [浏览：15 下载：2]
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：40 下载：17]
Copula Regression Models for the Analysis of Correlated Data with Missing Values.

颁布单位：[University of Michigan] | 颁布时间：2015 | 实施时间：2015 | 学科分类：[(Misaligned) Missing Data, Gaussian copula Regression Model, Composite Likelihood, Partial Identification, (Multilevel) Correlated Data, Peeling Optimzation Procedure, Statistics and Numeric Data, Science, Biostatistics]

预览 | 原文链接 [浏览：26 下载：0]
Robust and Efficient Methods for Bayesian Finite Population Inference.

颁布单位：[University of Michigan] | 颁布时间：2015 | 实施时间：2015 | 学科分类：[Finite Population Bayesian Inference, Weight Pooling, Weight Trimming, Laplace Prior, Weighted Dirichlet Process Mixture Model, Statistics and Numeric Data, Science, Biostatistics]

预览 | 原文链接 [浏览：8 下载：12]
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：35 下载：15]