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Paula Prata

Biographic Data

ID9545400
NAMEPaula Prata
GIVEN NAMESPaula
FAMILY NAMEPrata
SIGNATUREPRATA P
AFFILIATIONSUniversity of Beira Interior
ORCID0000-0002-3072-0186
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS0
AUTHOR COUNT2
EDITOR COUNT0
FIRST PUBLICATION YEAR2019
LATEST PUBLICATION YEAR2020
H-INDEX0
  • Multiple imputation in big identifiable data for educational research: An example from the Brazilian education assessment system

    Open Access•Maria Eugénia Ferrão, Paula Prata et al.•ARTICLE•Ensaio Avaliação e Políticas…•2020

    Almost all quantitative studies in educational assessment, evaluation and educational research are based on incomplete data sets, which have been a problem for years without a single solution. The use of big identifiable data poses new challenges in dealing with missing values. In the first part of this paper, we present the state-of-art of the topic in the Brazilian education scientific literature, and how researchers have dealt with missing dat…

  • The effectiveness of a digital shared decision-making tool in hormonal contraception during clinical assessment: Study protocol of a randomized controlled trial in Spain

    Open Access•Inmaculada de Molina Fernández, María Inmaculada De Molina-Fernández et al.•ARTICLE•BMC Public Health•2019

    Clinical Register number ISRCTN5827994 . Date: 15/04/2019 (Retrospectively registered)

No prominent works on this page.

  • The effectiveness of a digital shared decision-making tool in hormonal contraception during clinical assessment: Study protocol of a randomized controlled trial in Spain

    Open Access•Inmaculada de Molina Fernández, María Inmaculada De Molina-Fernández et al.•ARTICLE•BMC Public Health•2019

    Clinical Register number ISRCTN5827994 . Date: 15/04/2019 (Retrospectively registered)

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

    Open Access•Maria Eugénia Ferrão, Paula Prata et al.•ARTICLE•Ensaio Avaliação e Políticas…•2020

    Almost all quantitative studies in educational assessment, evaluation and educational research are based on incomplete data sets, which have been a problem for years without a single solution. The use of big identifiable data poses new challenges in dealing with missing values. In the first part of this paper, we present the state-of-art of the topic in the Brazilian education scientific literature, and how researchers have dealt with missing dat…

Advanced Causal Inference Techniques (1 works) · Alternative medicine (1 works) · Bayesian Modeling and Causal Inference (1 works) · Big data (1 works) · Biostatistics (1 works) · Clinical trial (1 works) · Computer Science (1 works) · Data mining (1 works) · Data science (1 works) · Econometrics (1 works)

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