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Multiple imputation

A Novel Nonparametric Multiple Imputation Algorithm for Estimating Missing Data

A Novel Nonparametric Multiple Imputation Algorithm for Estimating Missing Data

... Carlo Multiple Imputation), MCMC SI (Markov Chain Monte Carlo Single Imputation) and MS (Mean Substitution) over different percentages of missing ...the imputation algorithms were used for ...

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Multiple imputation in big identifiable data for educational research: An example from the Brazilian education assessment system

Multiple imputation in big identifiable data for educational research: An example from the Brazilian education assessment system

... The remainder of this paper consists of three parts. Section two proceeds to the review of the scientific literature published in Brazilian and Portuguese journals registered in the SciELO platform. Section three ...

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Multiple imputation of missing categorical data using latent class models: State of the art

Multiple imputation of missing categorical data using latent class models: State of the art

... and multiple imputation ...(or imputation model) and the substantive model(s) of interest can and will typically be ...value imputation, MI replaces each missing value with m > 1 imputed ...

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Imputation methods for filling missing data in urban air pollution data for Malaysia

Imputation methods for filling missing data in urban air pollution data for Malaysia

... best imputation method for filling the missing data because this method is able to give the smallest error for all percentages of missing ...best imputation method for estimating the simulated missing data ...

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Deterministic Imputation in Multienvironment Trials

Deterministic Imputation in Multienvironment Trials

... distribution-free multiple imputation method that was assessed by Arciniegas- Alarc´on [20] and compared by Arciniegas-Alarc´on and Dias [21] with algorithms that use fixed effects models in a simulation ...

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Key words : Singular value decomposition, weights, missing data, genotype-by-

Key words : Singular value decomposition, weights, missing data, genotype-by-

... for multiple imputation when faced with missing data in multi-environmental trials with genotype-by-environment interaction, based on the imputation system developed by Krzanowski that uses the ...

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Effects of Different Missing Data Imputation Techniques on the Performance of Undiagnosed Diabetes Risk Prediction Models in a Mixed-Ancestry Population of South Africa.

Effects of Different Missing Data Imputation Techniques on the Performance of Undiagnosed Diabetes Risk Prediction Models in a Mixed-Ancestry Population of South Africa.

... that imputation of missing data is superior to the overlooking of the missing data, that the indicator method often provides biased results, that conditional mean imputation is better than unconditional ...

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A Study on Mediation by Offspring BMI in the Association between Maternal Obesity and Child Respiratory Outcomes in the Amsterdam Born and Their Development Study Cohort.

A Study on Mediation by Offspring BMI in the Association between Maternal Obesity and Child Respiratory Outcomes in the Amsterdam Born and Their Development Study Cohort.

... by multiple imputation analysis. With multiple imputations we were able to impute missing variables for all mother child pairs that returned the pregnancy questionnaire and one outcome questionnaire, ...

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UBONG SYLVANUS UDOETTE Dissertation report presented as partial requirements for obtaining the Master’s degree in Statistics and Information Management Imputation Techniques for Improving Survey Outcomes in Nigeria: The Case of the Business Expectation Su

UBONG SYLVANUS UDOETTE Dissertation report presented as partial requirements for obtaining the Master’s degree in Statistics and Information Management Imputation Techniques for Improving Survey Outcomes in Nigeria: The Case of the Business Expectation Su

... from imputation with plausible value by researchers using simple techniques such as the mean of the observed cases for each variable to more complicated models such as regression imputation, stochastic ...

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An alternative methodology for imputing missing data in trials with genotype-by-environment interaction

An alternative methodology for imputing missing data in trials with genotype-by-environment interaction

... an imputation method using the EM algorithm and the AMMI model, and some variants of this procedure using multivariate statistics (cluster analysis) were described in Godfrey et ...the imputation in ...

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IMPUTAÇÃO MÚLTIPLA LIVRE DE DISTRIBUIÇÃO EM MATRIZ DE INTERAÇÃO POR MEIO DE DECOMPOSIÇÃO POR VALOR SINGULAR

IMPUTAÇÃO MÚLTIPLA LIVRE DE DISTRIBUIÇÃO EM MATRIZ DE INTERAÇÃO POR MEIO DE DECOMPOSIÇÃO POR VALOR SINGULAR

... elements. Imputation is a technique by which the missing elements are replaced by plausible values, so that a valid analysis can be performed on the completed data ...A multiple imputation method is ...

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Instructional Multiple Binaural Stethoscope

Instructional Multiple Binaural Stethoscope

... Materials needed are the single binaural stethoscope, multiple binaural stethoscope, pen, piece of paper, lap clock and sphygmomanometer with gauge meter. The instructor first makes use of the single binaural ...

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Le différentiel de sélection multiple

Le différentiel de sélection multiple

... Après avoir recensé les rares articles publiés sur la ques- tion, incluant les écrits mathématiques utiles pour l’éva- luation numérique du différentiel de sélection, nous iden- tifierons en détail le concept général et ...

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Arq Bras Endocrinol Metab  vol.54 número8

Arq Bras Endocrinol Metab vol.54 número8

... This study was approved by the Ethics Committee of the Hospital Universitário Clementino Fraga Filho/ Universidade Federal do Rio de Janeiro. All families re- ported are currently being followed-up at this hospital, and ...

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Identification of a sudden cardiac death susceptibility locus at 2q24.2 through genome-wide association in European ancestry individuals.

Identification of a sudden cardiac death susceptibility locus at 2q24.2 through genome-wide association in European ancestry individuals.

... before imputation according to specific criteria (Table ...and imputation quality to identify classes of SNPs that show strong early departure from the ...and/or imputation quality score ...

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Total and attuned multiple autonomy support and the social development of early adolescents

Total and attuned multiple autonomy support and the social development of early adolescents

... to multiple social support effects in its most different dimensions ...of multiple social support literature, including the social development field of ...

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Multiple focal nodular hyperplasia of the liver: mixed hyperplastic and adenomatous subtype.

Multiple focal nodular hyperplasia of the liver: mixed hyperplastic and adenomatous subtype.

... and Multiple focal nodular hyperplasia of the liver – mixed hyperplastic and Multiple focal nodular hyperplasia of the liver – mixed hyperplastic and Multiple focal nodular hyperplasia of the liver – ...

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Multi-Objective Cooperative Paths Planning for Multiple Parafoils System Using a Genetic Algorithm

Multi-Objective Cooperative Paths Planning for Multiple Parafoils System Using a Genetic Algorithm

... The initial position of the parafoil 1 to the parafoil 6 was marked with Para.1 – Para.6 in Fig. 4, which shows that the initial position and direction angle of each parafoil are different. It can be seen from the ...

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Imputing amino acid polymorphisms in human leukocyte antigens.

Imputing amino acid polymorphisms in human leukocyte antigens.

... because imputation inaccuracy will generally result only in a power reduction to detect a statistical association but not in an increased type 1 error ...HLA imputation is likely to add significant value to ...

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ON THEORY MULTIPLE CONTRACTION

ON THEORY MULTIPLE CONTRACTION

... S.S.-based multiple contractions satisfying the required conditions, in order to fulfil the goals that we have stated above, it remained only to present a definition for the ...E.E.-based multiple ...

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