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颁布单位:[University of Michigan] |
颁布时间:2015 |
实施时间:2015 |
学科分类:[Exposure Science, Magnetic Fields, Environmental Epidemiology, Bias, Reproductive Health, Public Health, Statistics and Numeric Data, Health Sciences, Science, Environmental Health Sciences]
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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]
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颁布单位:[University of Michigan] |
颁布时间:2015 |
实施时间:2015 |
学科分类:[Dynamic treatment regime, Sequential Multiple Assignment Randomized Trial, Statistics and Numeric Data, Science, Statistics]
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颁布单位:[University of Michigan] |
颁布时间:2015 |
实施时间:2015 |
学科分类:[Gap times, Semiparametric model, Proportional hazards regression, Multiple imputation, Weighted estimating equations, Hazard ratio, Statistics and Numeric Data, Science, Biostatistics]
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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]
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颁布单位:[University of Michigan] |
颁布时间:2015 |
实施时间:2015 |
学科分类:[Substitution, Nonresponse, Survey Sampling, Missing Data, Responsive Design, Statistics and Numeric Data, Science, Social Sciences, Survey Methodology]
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颁布单位:[University of Michigan] |
颁布时间:2014 |
实施时间:2014 |
学科分类:[Spatial Statistics, Inference on Gaussian Processes, Statistics and Numeric Data, Science, Statistics]
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颁布单位:[University of Michigan] |
颁布时间:2014 |
实施时间:2014 |
学科分类:[dissimilarity among effect sizes, functional summary, correlation path, Statistics and Numeric Data, Science, Statistics]
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颁布单位:[University of Michigan] |
颁布时间:2014 |
实施时间:2014 |
学科分类:[Semiparametric, Wireless Sensor Network, Target Estimation, Statistics and Numeric Data, Science, Statistics]
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颁布单位:[University of Michigan] |
颁布时间:2014 |
实施时间:2014 |
学科分类:[Subgroup Analysis, Mixture Model, Statistics and Numeric Data, Science, Statistics]