Articles with "analysis covariance" as a keyword



Time series analysis of covariance based on linear transfer function models

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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.

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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

Simultaneous aligned rank transform tests in analysis of covariance based on pairwise ranking

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Published in 2025 at "Communications in Statistics - Theory and Methods"

DOI: 10.1080/03610926.2025.2500639

Abstract: Abstract. There are two approaches to non-parametric pairwise comparisons of treatment effects: the method based on pairwise rankings and the method based on overall ranking. The former is generally recommended in the literature because of… read more here.

Keywords: analysis covariance; aligned rank; simultaneous aligned; pairwise ... See more keywords

Analysis of covariance in digital images of astronomical objects based on image fragments

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Published in 2025 at "Remote Sensing Letters"

DOI: 10.1080/2150704x.2025.2491800

Abstract: ABSTRACT One of the most important unresolved tasks in astronomy and astrophysics is related to black holes phenomena. Nowadays, the black holes are investigating by world-wide telescope arrays like the Event Horizon Telescope (EHT). As… read more here.

Keywords: image; digital image; image fragments; relative velocities ... See more keywords

Statistics Commentary Series: Commentary No. 31: The Uses and Misuses of the Analysis of Covariance.

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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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Published in 2019 at "Biometrics"

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

Mixed Inverse Gaussian Analysis of Covariance for Censored Data: A Bayesian Approach

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Published in 2025 at "Journal of Mathematics"

DOI: 10.1155/jom/1131677

Abstract: This paper proposes a model for analysis of covariance (ANCOVA) of censored data obtained from a positively skewed population by using the mixed inverse Gaussian (MIG) distribution. A hierarchical fully Bayesian approach is employed to… read more here.

Keywords: censored data; analysis covariance; inverse gaussian; mixed inverse ... See more keywords

How to construct analysis of covariance in clinical trials: ANCOVA with one covariate in a completely randomized design structure

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Published in 2025 at "Korean Journal of Anesthesiology"

DOI: 10.4097/kja.24820

Abstract: Analysis of covariance (ANCOVA) is a statistical method used to assess mean differences between groups by considering factors such as covariates or fixed effects and is often used to assess efficacy endpoints in clinical trials.… read more here.

Keywords: covariate; analysis; analysis covariance; clinical trials ... See more keywords