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Methods for Mediation Analysis with Missing Data
Psychometrika, 2013Despite wide applications of both mediation models and missing data techniques, formal discussion of mediation analysis with missing data is still rare. We introduce and compare four approaches to dealing with missing data in mediation analysis including listwise deletion, pairwise deletion, multiple imputation (MI), and a two-stage maximum likelihood (
Zhang, Zhiyong, Wang, Lijuan
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A Data Reconstruction Method for The Big-Data Analysis
2018 9th International Conference on Awareness Science and Technology (iCAST), 2018In recent years, the big-data approach has become important within various business operations and salesjudgment tactics. Contrarily, numerous privacy problems limit the progress of their analysis technologies. To mitigate such problems, this paper proposes several privacy-preserving methods, i.e., anonymization, extreme value record elimination, fully
Masataka Mito +4 more
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Streaming Methods in Data Analysis
2015A fundamental challenge in processing the massive quantities of information generated by modern applications is in extracting suitable representations of the data that can be stored, manipulated and interrogated on a single machine. A promising approach is in the design and analysis of compact summaries: data structures which capture key features of ...
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2020
In order to evaluate your intervention, you will need to analyse the data that you collected from users of the intervention as well as, where applicable, the comparison group. These data can come either directly via the app or by collecting data through other data sources (e.g. questionnaires).
Alan Davies, Julia Mueller
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In order to evaluate your intervention, you will need to analyse the data that you collected from users of the intervention as well as, where applicable, the comparison group. These data can come either directly via the app or by collecting data through other data sources (e.g. questionnaires).
Alan Davies, Julia Mueller
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2019
In this chapter, we give a brief outline of the methods of data analysis used, from elementary T-scores to nonlinear principal component analysis (PCA), including data normalisation, quantification of categorical attributes, categorical principal component analysis (CatPCA), sparse PCA, the method of principal variables, the original ‘double’ Kaiser ...
Elaine Fehrman +5 more
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In this chapter, we give a brief outline of the methods of data analysis used, from elementary T-scores to nonlinear principal component analysis (PCA), including data normalisation, quantification of categorical attributes, categorical principal component analysis (CatPCA), sparse PCA, the method of principal variables, the original ‘double’ Kaiser ...
Elaine Fehrman +5 more
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2000
BIACORE is a system for real-time analysis of interactions between molecules that can be used for both qualitative and quantitative investigations. In particular, continuous monitoring of both association and dissociation phases in an interaction allows determination of rate and affinity constants.
Tohru Natsume +2 more
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BIACORE is a system for real-time analysis of interactions between molecules that can be used for both qualitative and quantitative investigations. In particular, continuous monitoring of both association and dissociation phases in an interaction allows determination of rate and affinity constants.
Tohru Natsume +2 more
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Methods and Data for the Analysis
2018In this chapter, we debate the sources of our analysis and the statistical methods used. We also amply discuss the methodological literature on these subjects. Our data sources are the Arab Opinion Index of the Arab Center for Research and Policy Studies in Doha, Qatar; the Arab Barometer, Wave III; the Pew Spring 2015 Survey; the BBC Global Scan; and ...
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DATA ANALYSIS APPARATUS, DATA ANALYSIS METHOD, AND DATA ANALYSIS PROGRAM
2020SUZUKI MAYUMI +2 more
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