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Bayesian confirmatory analysis of multiple response data
Applied Marketing Analytics: The Peer-Reviewed Journal, 2017This paper proposes a Bayesian confirmatory factor-analytic probit model to reveal the latent utility structure of multiple response data commonly found in marketing surveys. It conditions model formulation on previous knowledge and imposes a parsimonious hierarchical structure involving a measurement model (to define common factors) and a structural ...
Mauricio Ferreira +2 more
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Descriptive Data Analysis: A Concept between Confirmatory and Exploratory Data Analysis
Methods of Information in Medicine, 1987SummaryConfirmatory Data Analysis (CDA) in randomized comparative (“controlled”) studies with many variables and/or time points of interest finds its limitations in the multiplicity of desired inferential statements which leads to unfeasibly small adjusted significance levels (“Bon-ferronization”) and, thereby, to unduly increased risks of not ...
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Data-Driven and Confirmatory Subgroup Analysis in Clinical Trials
2020In this chapter we provide an overview of the principles and practice of subgroup analysis in late-stage clinical trials. For convenience, we classify different subgroup analyses into two broad categories: data-driven and confirmatory. The two settings are different from each other primarily by the scope and extent of pre-specification of patient ...
Alex Dmitrienko +3 more
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Brain Topography, 1990
Topographic mapping of brain electrical activity has become a commonly used method in the clinical as well as research laboratory. To enhance analytic power and accuracy, mapping applications often involve statistical paradigms for the detection of abnormality or difference.
F H, Duffy +5 more
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Topographic mapping of brain electrical activity has become a commonly used method in the clinical as well as research laboratory. To enhance analytic power and accuracy, mapping applications often involve statistical paradigms for the detection of abnormality or difference.
F H, Duffy +5 more
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Pairwise stochastic approximation for confirmatory factor analysis of categorical data
British Journal of Mathematical and Statistical PsychologyAbstract Pairwise likelihood is a limited‐information method widely used to estimate latent variable models, including factor analysis of categorical data. It can often avoid evaluating high‐dimensional integrals and, thus, is computationally more efficient than relying on the full likelihood.
Alfonzetti G. +3 more
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Psychometric Characteristics of the Minimum Data Set I: Confirmatory Factor Analysis
Journal of the American Geriatrics Society, 1998OBJECTIVE: To determine the structure and statistical reliability of the federally mandated Minimum Data Set (MDS). DESIGN: Confirmatory, hypothesis‐testing factor analysis was performed on MDS protocols of 733 nursing home residents.
R, Casten +3 more
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Main Study—Data Reduction and Confirmatory Factor Analysis
2017The main research study consists of obtaining feedback through the questionnaire developed from all the organizations identified for data collection. In this context, a sample size of 270 organizations was considered for the main study. Out of 270 samples, 150 are from Bangalore region (Karnataka) and remaining 120 from Coimbatore region (Tamil Nadu ...
R. Srinivasan, C. P. Lohith
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Incorporating external real-world data (RWD) in confirmatory adaptive design
Journal of Biopharmaceutical StatisticsAdaptive designs, such as group sequential designs (and the ones with additional adaptive features) or adaptive platform trials, have been quintessential efficient design strategies in trials of unmet medical needs, especially for generating evidence from global regions.
Junjing Lin, Jianchang Lin
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Confirmatory data on habenular projections
Brain Research, 1979E G, McGeer +2 more
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Prevalence of Agoraphobia: Some Confirmatory Data
Psychological Reports, 1987C A, Pollard, J G, Henderson
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