Why the use of segmented regression analysis to explore change in relations between variables is problematic: A simulation study.
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DOI: 10.1037/met0000576.supp
Abstract: Relations between variables can take different forms like linearity, piecewise linearity, or nonlinearity. Segmented regression analyses (SRA) are specialized statistical methods that detect breaks in the relationship between variables. They are commonly used in the… read more here.
Keywords: relations variables; simulation study; segmented regression;
Random changepoint segmented regression with smooth transition
Sign Up to like & getrecommendations! Published in 2020 at "Statistical Methods in Medical Research"
DOI: 10.1177/0962280220964953
Abstract: We consider random changepoint segmented regression models to analyse data from a study conducted to verify whether treatment with stem cells may delay the onset of a symptom of amyotrophic lateral sclerosis in genetically modified… read more here.
Keywords: smooth transition; changepoint; segmented regression; changepoint segmented ... See more keywords
The impact of prescriptions audit and feedback for antibiotic use in rural clinics: interrupted time series with segmented regression analysis
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DOI: 10.1186/s12913-018-3602-z
Abstract: BackgroundProblems of irrational antibiotic use by prescribers are ongoing and have escalated following reductions in the cost of essential drugs policy. In an attempt to improve prescribing practices for village doctors and rational use of… read more here.
Keywords: regression analysis; segmented regression; use; rural clinics ... See more keywords
Adaptability and stability evaluation of maize hybrids using Bayesian segmented regression models
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DOI: 10.1371/journal.pone.0236571
Abstract: The occurrence of genotype by environment interaction (G x E), which is defined as the differential response of genotypes to environmental variation, is frequently reported in maize cultures, making it challenging to recommend cultivars. Methods… read more here.
Keywords: segmented regression; bayesian segmented; adaptability stability; maize hybrids ... See more keywords
A Method of Accuracy Increment Using Segmented Regression
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DOI: 10.3390/a15100378
Abstract: The main purpose of mathematical model building while employing statistical data analysis is to obtain high accuracy of approximation within the range of observed data and sufficient predictive properties. One of the methods for creating… read more here.
Keywords: regression; accuracy; segmented regression; method accuracy ... See more keywords