搜索结果: 1-15 共查到“知识库 理论统计学 studies”相关记录18条 . 查询时间(0.09 秒)
Adjusting for Treatment Effects in Studies of Quantitative Traits
Quantitative traits Imputation QTL mapping Single-marker analysis Mixed models Kruskal-Wallis test
2013/6/14
A population-based study of a quantitative trait, e.g. Blood Pressure(BP) may be seriously compromised when the trait is subject to the effects of a treatment. Without appropriate corrections this can...
Bayesian semiparametric analysis for two-phase studies of gene-environment interaction
Biased sampling colorectal cancer Dirichlet prior exposure enriched sampling gene-environment independence jointeffects multivariate categorical distribution spike and slab prior
2013/6/14
The two-phase sampling design is a cost-efficient way of collecting expensive covariate information on a judiciously selected subsample. It is natural to apply such a strategy for collecting genetic d...
Efficient Algorithms for Multivariate Linear Mixed Models in Genome-wide Association Studies
Efficient Algorithms Multivariate Linear Mixed Models Genome-wide Association Studies
2013/6/17
Multivariate linear mixed models (mvLMMs) have been widely used in many areas of genetics, and have attracted considerable recent interest in genome-wide association studies (GWASs). However, existing...
Semiparametric Bivariate Zero-Inflated Poisson Models with Application to Studies of Abundance for Multiple Species
Benthic fish Bivariate Poisson Hierarchical Bayes Missouri River Pspline Zero-inflated Poisson
2011/6/17
Ecological studies involving counts of abundance, presence-absence or occupancy rates
often produce data having a substantial proportion of zeros. Furthermore, these types of
processes are typically...
Rejoinder: Quantifying the Fraction of Missing Information for Hypothesis Testing in Statistical and Genetic Studies
Quantifying Genetic Studies Missing Information Hypothesis Testing
2011/3/23
Rejoinder to "Quantifying the Fraction of Missing Information for Hypothesis Testing in Statistical and Genetic Studies" [arXiv:1102.2774]
Comment: Quantifying the Fraction of Missing Information for Hypothesis Testing in Statistical and Genetic Studies
Quantifying Genetic Studies Missing Information Hypothesis Testing
2011/3/23
Comment on "Quantifying the Fraction of Missing Information for Hypothesis Testing in Statistical and Genetic Studies" [arXiv:1102.2774]
Comment: Quantifying the Fraction of Missing Information for Hypothesis Testing in Statistical and Genetic Studies
Quantifying Genetic Studies Missing Information Hypothesis Testing
2011/3/23
Comment on "Quantifying the Fraction of Missing Information for Hypothesis Testing in Statistical and Genetic Studies" [arXiv:1102.2774]
Comment: Quantifying Information Loss in Survival Studies
Comment Survival Quantifying Information Loss in Survival
2011/3/23
Comment on "Quantifying the Fraction of Missing Information for Hypothesis Testing in Statistical and Genetic Studies" [arXiv:1102.2774]
Quantifying the Fraction of Missing Information for Hypothesis Testing in Statistical and Genetic Studies
EM algorithm entropy Fisher information genetic linkage studies haplotype-based association studies
2011/3/21
Many practical studies rely on hypothesis testing procedures applied to data sets with missing information. An important part of the analysis is to determine the impact of the missing data on the perf...
An integrative analysis of cancer gene expression studies using Bayesian latent factor modeling
micro-environmental parameters in cancer Weibull survival models
2010/10/19
We present an applied study in cancer genomics for integrating data and inferences from laboratory experiments on cancer cell lines with observational data obtained from human breast cancer studies. T...
Numerical studies of the metamodel fitting and validation processes
Gaussian process discrepancy optimal design Latin hypercubesampling computer experiment
2010/3/9
Complex computer codes, for instance simulating physical phenomena,
are often too time expensive to be directly used to perform uncertainty,
sensitivity, optimization and robustness analyses. A wide...
Superpopulations Models and Stratification in Diagnostic Ability Studies
Superpopulations Models Stratification Diagnostic Ability Studies
2009/9/17
Superpopulations Models and Stratification in Diagnostic Ability Studies。
Optimal designs for dose-finding experiments in toxicity studies
dose-finding experiment locally c-optimal design multiple-objective design robustoptimal design Weibull model
2010/3/18
We construct optimal designs for estimating fetal malformation rate, prenatal death rate and
an overall toxicity index in a toxicology study under a broad range of model assumptions. We
use Weibull ...
A mixture of experts model for rank data with applications in election studies
Rank data mixture models generalized linear models EMalgorithm MM algorithm
2010/3/17
A voting bloc is defined to be a group of voters who have similar
voting preferences. The cleavage of the Irish electorate into voting
blocs is of interest. Irish elections employ a “single transfer...
Covariate Balance in Simple，Stratified and Clustered Comparative Studies
Cluster contiguity community intervention group randomization randomization inference subclassification
2010/4/30
In randomized experiments, treatment and control groups
should be roughly the same—balanced—in their distributions of pretreatment
variables. But how nearly so? Can descriptive comparisons
meaningf...