main webpage W Topic Statistical Inference Biostatistics • Vol 25 • No 1 Inference after latent variable estimation for single-cell RNA sequencing data 2022 Summary In the analysis of single-cell RNA sequencing data, researchers often characterize the variation between cells by estimating a latent variable, such as cell type or pseudotime, representing some aspect of the cell’s state. They then test each gene for… Article Open Statistical Inference Open Article Page

Statistical Inference

Process of using data analysis for predicting population data from sample data Statistical inference is the process of using data analysis to infer properties of an underlying probability distribution. Inferential statistical analysis infers properties of a population, for example by testing hypotheses and deriving estimates. It is assumed that the observed data set is sampled from a larger population. Inferential statistics can be contrasted with descriptive statistics. Descriptive statistics is solely concerned with properties of the observed data, and it does not rest on the assumption that the data come from a larger population. Critical Symbolic Virtual Narrative Open Statistical Inference Open Article Page

Exploring foci of: Biostatistics • Vol 25 • No 1 Inference after latent variable estimation for single-cell RNA sequencing data 2022 Summary In the analysis of single-cell RNA sequencing data, researchers often characterize the variation between cells by estimating a latent variable, such as cell type or pseudotime, representing some aspect of the cell’s state. They then test each gene for association with the estimated latent variable. If the same data are used for both of these steps, then standard methods for computing p-values in the second step will fail to achieve statistical guarantees such as Type 1 error control. Furthermore, approache… Open Article Page

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Explore Statistical Inference W Topic Statistical Inference Biostatistics • Vol 25 • No 1 Inference after latent variable estimation for single-cell RNA sequencing data 2022 Summary In the analysis of single-cell RNA sequencing data, researchers often characterize the variation between cells by estimating a latent variable, such as cell type or pseudotime, representing some aspect of the cell’s state. They then test each gene for… Article Critical Symbolic Virtual Narrative Open Statistical Inference Open Article Page