Articles with "randomization based" as a keyword



Randomization-based interval estimation in randomized clinical trials.

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Published in 2020 at "Statistics in medicine"

DOI: 10.1002/sim.8577

Abstract: Randomization-based interval estimation takes into account the particular randomization procedure in the analysis and preserves the confidence level even in the presence of heterogeneity. It is distinguished from population-based confidence intervals with respect to three… read more here.

Keywords: interval estimation; randomization; randomization based; confidence ... See more keywords

Causal interaction and effect modification: a randomization-based approach to inference

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Published in 2025 at "Journal of the Korean Statistical Society"

DOI: 10.1007/s42952-025-00313-7

Abstract: Understanding causal interactions is critical in observational studies but often challenging due to confounding and methodological limitations. While these concepts have been extensively studied in randomized experiments, their application in observational data remains limited, particularly… read more here.

Keywords: randomization based; causal interaction; effect modification; interaction effect ... See more keywords

Sensitivity analysis for missing dichotomous outcome data in multi-visit randomized clinical trial with randomization-based covariance adjustment

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Published in 2017 at "Journal of Biopharmaceutical Statistics"

DOI: 10.1080/10543406.2017.1289955

Abstract: ABSTRACT Dichotomous endpoints in clinical trials have only two possible outcomes, either directly or via categorization of an ordinal or continuous observation. It is common to have missing data for one or more visits during… read more here.

Keywords: clinical trial; randomization based; sensitivity; multi visit ... See more keywords

Rejoinder to "On exact randomization-based covariate-adjusted confidence intervals" by Jacob Fiksel.

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Published in 2024 at "Biometrics"

DOI: 10.1093/biomtc/ujae052

Abstract: We applaud Fiksel (2024) for their valuable contributions to randomization-based inference, particularly their work on inverting the Fisher randomization test (FRT) to construct confidence intervals using the covariate-adjusted test statistic. FRT is advocated by many… read more here.

Keywords: randomization; confidence intervals; covariate adjusted; randomization based ... See more keywords

Sharpening randomization-based causal inference for 22 factorial designs with binary outcomes

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Published in 2019 at "Statistical Methods in Medical Research"

DOI: 10.1177/0962280217745720

Abstract: In medical research, a scenario often entertained is randomized controlled 22 factorial design with a binary outcome. By utilizing the concept of potential outcomes, Dasgupta et al. proposed a randomization-based causal inference framework, allowing flexible… read more here.

Keywords: methodology; causal inference; randomization based;
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Randomization-Based Tests for “No Treatment Effects”

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Published in 2017 at "Statistical Science"

DOI: 10.1214/16-sts590

Abstract: Although both Fisher’s and Neyman’s tests are for testing “no treatment effects,” they both test fundamentally different null hypotheses. While Neyman’s null concerns the average casual effect, Fisher’s null focuses on the individual causal effect.… read more here.

Keywords: randomization based; treatment; based tests; treatment effects ... See more keywords

A Randomization-Based, Model-Free Approach to Functional Neuroimaging: A Proof of Concept

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Published in 2024 at "Entropy"

DOI: 10.3390/e26090751

Abstract: Functional neuroimaging analysis takes noisy multidimensional measurements as input and produces statistical inferences regarding the functional properties of brain regions as output. Such inferences are most commonly model-based, in that they assume a model of… read more here.

Keywords: model free; functional neuroimaging; approach; randomization based ... See more keywords