The phrase "a statistical methodology for" is correct and usable in written English.
It can be used when introducing a specific method or approach related to statistical analysis or research.
Example: "The study presents a statistical methodology for analyzing the impact of climate change on agricultural yields."
Alternatives: "a statistical approach to" or "a statistical technique for".
This paper introduces a statistical methodology for geometry inspection from point clouds obtained with a laser scanner or other measuring systems.
This article presents a statistical methodology for determining the sampling frequency for auto-samplers using a two-state Markov chain model for detecting the foreign matter contamination in the production.
In fact, because EVT suggests a statistical methodology for the extrapolation of quantiles beyond the data range, the question of whether such interpolation is justified or not in a given problem should be investigated carefully in each concrete situation.
We now describe a statistical methodology for the comparison of two groups of cDNA libraries to enable the discovery of differentially expressed genes.
Our main objective in this paper has been to develop a statistical methodology for predicting the status of an AS patient during the first 48 hours after discharge from the information provided by variables routinely used in Ambulatory Surgery.
The FM charts were analyzed using functional data analysis (FDA), a statistical methodology specifically developed for analyzing curve data or long time series [ 25].
We used beta regression (a statistical methodology more appropriate for proportions data than linear regression when very low or high percentages are observed) to analyze correlates of peak subG1.
Common temporal patterns for the two weeks preceding hospital examination due to DFM were extracted from the FM charts using wavelet principal component analysis; a statistical methodology particularly developed for modeling temporal data with sudden changes, i.e. spikes that are frequently found in FM data.
In order to uncover temporal patterns on an individual level, rather than merely look at day-to-day group averages, we turn to functional data analysis (FDA), a statistical methodology specifically developed for analyzing curve data, and long time series observations [ 25].
Likelihood ratio is a familiar statistical methodology for assessing the performance of a diagnostic test [ 4, 5].
The main contribution of the paper is to propose a fully statistical methodology for dealing with non-linear nuisance parameters.
