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   Articles with "multiple comparisons" as a keyword



The p value wars (again)

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recommendations! Published in 2019 at "European Journal of Nuclear Medicine and Molecular Imaging"

DOI: 10.1007/s00259-019-04467-5

Abstract: More than 800 researchers, many of them prominent biostatisticians, called to “raise up against the p-value.” [1] This recent battle cry was just the climax of a growing insurrection, which prominently surfaced in 2018 when… read more here.

Keywords: multiple comparisons; statistical significance; salmon; value ... See more keywords

Multiple comparisons of three different sources of biomaterials in the application of tumor tissue engineering in vitro and in vivo.

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recommendations! Published in 2019 at "International journal of biological macromolecules"

DOI: 10.1016/j.ijbiomac.2019.02.136

Abstract: Potential anti-cancer drugs are frequently of low efficacy in clinics due to the lack of predictive models or the insufficient employment of existing preclinical test systems. Three-dimensional (3D) in vitro engineered tumor models can better… read more here.

Keywords: multiple comparisons; vivo; vitro; cancer ... See more keywords
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Logical and test consistency in pairwise multiple comparisons

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recommendations! Published in 2020 at "Journal of Statistical Planning and Inference"

DOI: 10.1016/j.jspi.2019.09.009

Abstract: Abstract In this study, we reformulate pairwise comparisons as penalized likelihood estimation problems based on the L 1 penalties on the pairwise differences. The proposed approach offers a natural way to avoid logically contradictory conclusions… read more here.

Keywords: multiple comparisons; pairwise; test consistency; pairwise multiple ... See more keywords
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Objective Bayesian multiple comparisons for normal variances

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recommendations! Published in 2017 at "Journal of Statistical Computation and Simulation"

DOI: 10.1080/00949655.2016.1235168

Abstract: ABSTRAC This paper considers the multiple comparisons problem for normal variances. We propose a solution based on a Bayesian model selection procedure to this problem in which no subjective input is considered. We construct the… read more here.

Keywords: multiple comparisons; comparisons normal; normal variances; bayesian multiple ... See more keywords

Applying machine learning-based multiple imputation methods to nonparametric multiple comparisons in longitudinal clinical studies.

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recommendations! Published in 2024 at "Journal of biopharmaceutical statistics"

DOI: 10.1080/10543406.2024.2444243

Abstract: Dependent samples, in which repeated measurements are made on the same subjects, eliminate potential differences among the subjects. In k-dependent samples, missing data can occur for various reasons. The Skillings-Mack test is used instead of… read more here.

Keywords: imputation methods; multiple imputation; nonparametric multiple; machine learning ... See more keywords

Visual Data Exploration as a Statistical Testing Procedure: Within-view and Between-view Multiple Comparisons

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recommendations! Published in 2022 at "IEEE Transactions on Visualization and Computer Graphics"

DOI: 10.1109/tvcg.2022.3175532

Abstract: A fundamental problem in visual data exploration concerns whether observed patterns are true or merely random noise. This problem is especially pertinent in visual analytics, where the user is presented with a barrage of patterns,… read more here.

Keywords: problem; view; multiple comparisons; statistical testing ... See more keywords

MULTIPLE COMPARISONS IN BIOMEDICAL RESEARCH: THE PROBLEM AND ITS SOLUTIONS

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recommendations! Published in 2020 at "Human Ecology"

DOI: 10.33396/1728-0869-2020-10-55-64

Abstract: One of the most common but rarely discussed problems in Russian biomedical research is a problem of multiple comparisons. When a researcher performs pairwise comparisons of means in several groups the number of tested ststistical… read more here.

Keywords: multiple comparisons; biomedical research; research problem; comparisons biomedical ... See more keywords