多阶抽样 (Multi-stage sampling)多级抽样是指在抽取样本时，分为两个及两个以上的阶段从总体中抽取样本的一种抽样方式。其具体操作过程是：第一阶段，将总体分为若干个一级抽样单位，从中抽选若干个一级抽样单位入样；第二阶段，将入样的每个一级单位分成若干个二级抽样单位，从入样的每个一级单位中...
A bayesian analysis of multivariate survival data from multi-stage cluster samplingFrailtyGibbs samplingHierarchical survival analysisProportional nazarus modeiLarge scale sample surveys often collect survival times that are clustered at a number of hierarchical levels. Only the case where three levels are...
In the second stage, we fine-tune the GLUE model with the estimated balancing weights, during which the additive noise \({\boldsymbol{\epsilon}} \sim {{{\mathcal{N}}}\left( {{\boldsymbol{\epsilon}} ;\mathbf{0},\tau \cdot {\mathbf{\Sigma}}} \right)\) gradually anneals to 0 ...
Defining the dimensionality of the input image is the first stage in developing the framework of a CNN architecture. High resolution leads to a rise in the size and duration of computations, which might cause the processing units and their memory to become overburdened. The overall implementation...
Data storage stage: at this stage, if the processed data meets certain conditions, such as a length greater than or equal to a predetermined threshold, these data will be added to the data list, and the related counters will also be updated. In addition, the corresponding labels will be ad...
As the energies in the FF model are additive, this potential has been widely used to calculate physical or mechanical properties for various materials via analytic expressions, including many 2D materials. For example, an FF model, with bond stretching and angle-bending terms, has been used to ...
Where individual participant data are available for every randomised trial in a meta-analysis of dichotomous event outcomes, "one-stage" random-effects log... MC Simmonds,JP Higgins - 《Statistical Methods in Medical Research》 被引量: 53发表: 2014年 Response: The value of a historically infor...
For example, when multiple participants jointly perform clustering, each user needs to add noise to the same cluster center point, which will result in excessive noise being added to one point. When the participants are large enough, the clustering results are meaningless. In summary, the ...
5e). Therefore, it is imperative to incorporate ratio-based profiling at the experimental measurement stage instead of data massage alone (for example, normalization and/or batch effect correction) after data generation. Quartet design for genetics-driven ground truth Multi-omics integration of ...
are not easy to handle. Multiomics data analysis from the same single cell is more reliable than the integration of single omics layers because less sampling bias and fewer batch effects are involved, as shown by CITE-seq, for example. However, it is still easier to obtain single-layered da...