Time series analysis of covariance based on linear transfer function models
Sign Up to like & getrecommendations! Published in 2019 at "Statistical Inference for Stochastic Processes"
DOI: 10.1007/s11203-018-9182-z
Abstract: In this article, a time series analysis of covariance model is introduced when covariates time series have lead–lag relationship with response time series. Parameter estimation and hypothesis testing for this model are made in spectral… read more here.
Keywords: analysis covariance; series analysis; time; time series ... See more keywords
Multivariate analysis of covariance for heterogeneous and incomplete data.
Sign Up to like & getrecommendations! Published in 2023 at "Psychological methods"
DOI: 10.1037/met0000558.supp
Abstract: This article discusses the robustness of the multivariate analysis of covariance (MANCOVA) test for an emergent variable system and proposes a modification of this test to obtain adequate information from heterogeneous normal observations. The proposed… read more here.
Keywords: covariance heterogeneous; heterogeneous incomplete; analysis covariance; multivariate analysis ... See more keywords
Statistics Commentary Series: Commentary No. 31: The Uses and Misuses of the Analysis of Covariance.
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Clinical Psychopharmacology"
DOI: 10.1097/jcp.0000000000001009
Abstract: T he analysis of covariance (ANCOVA) was developed over 85 years ago by Ronald Fisher, arguably the father of modern statistics. Since that time, it has occupied a seemingly paradoxical position: vastly under-used in situations… read more here.
Keywords: covariate; analysis covariance; factor; group ... See more keywords
Analysis of covariance in randomized trials: More precision and valid confidence intervals, without model assumptions.
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DOI: 10.1111/biom.13062
Abstract: "Covariate adjustment" in the randomized trial context refers to an estimator of the average treatment effect that adjusts for chance imbalances between study arms in baseline variables (called "covariates"). The baseline variables could include, for… read more here.
Keywords: treatment; model; analysis covariance; confidence intervals ... See more keywords