Category: Statistical methods

Synthetic control method
The synthetic control method is a statistical method used to evaluate the effect of an intervention in . It involves the construction of a weighted combination of groups used as controls, to which the
DeMix is a statistical method for deconvolving mixed cancer transcriptomes to predict the likely proportion of tumor and stromal cell samples using a linear mixture model. It was developed by Ahn et a
Least-squares spectral analysis
Least-squares spectral analysis (LSSA) is a method of estimating a frequency spectrum, based on a least squares fit of sinusoids to data samples, similar to Fourier analysis. Fourier analysis, the mos
Bayesian model reduction
Bayesian model reduction is a method for computing the evidence and posterior over the parameters of Bayesian models that differ in their priors. A full model is fitted to data using standard approach
Kneser–Ney smoothing
Kneser–Ney smoothing, also known as Kneser-Essen-Ney smoothing, is a method primarily used to calculate the probability distribution of n-grams in a document based on their histories. It is widely con
Risk-limiting audit
A risk-limiting audit (RLA) is a post-election tabulation auditing procedure which can limit the risk that the reported outcome in an election contest is incorrect. It generally involves (1) storing v
Principal stratification
Principal stratification is a statistical technique used in causal inference when adjusting results for post-treatment covariates. The idea is to identify underlying strata and then compute causal eff
Vote counting
Vote counting is the process of counting votes in an election. It can be done manually or by machines. In the United States, the compilation of election returns and validation of the outcome that form
Genetic assignment methods
Genetic assignment methods are a set of powerful statistical methods that are used to determine the relationship between individuals and populations. The general principle behind them is to use multil
Lancichinetti–Fortunato–Radicchi benchmark
Lancichinetti–Fortunato–Radicchi benchmark is an algorithm that generates benchmark networks (artificial networks that resemble real-world networks). They have a priori known communities and are used
Genomic control
Genomic control (GC) is a statistical method that is used to control for the confounding effects of population stratification in genetic association studies. The method was originally outlined by Bern