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  1. Daayeb, Chayma [Author] ; Université de Montpellier (2022-.) [Contributor]; Université de Tunis El Manar [Contributor]; Gannoun, Ali [Contributor]; Mnif, Mohamed [Contributor]; Crambes, Christophe [Contributor]; Henchiri, Yousri [Contributor]

    Modèles linéaires fonctionnels avec des données partiellement observées ; Functional linear models with partially observed data

    Thesis
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    theses.fr, 2022-12-01

  3. Geronimi, Julia [Author] ; Paris, CNAM [Contributor]; Saporta, Gilbert [Contributor]

    Contribution à la sélection de variables en présence de données longitudinales : application à des biomarqueurs issus d'imagerie médicale ; Contribution to variable selection in the presence of longitudinal data : application to biomarkers derived from medical imaging

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    theses.fr, 2016-12-13

  12. Hoelzenbein, Angela C. [Author] ; Klauer, Karl Christoph [Degree supervisor]

    'Mind the Gap': Simulation studies to validate the quality of multiple imputation = 'Mind the Gap': Simulationsstudien zur Validierung der Güte von Multipler Imputation

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    Freiburg: Universität, 2015

  14. Krug, Gerhard [Author]

    Fehlende Daten bei der Verknüpfung von Prozess- und Befragungsdaten: ein empirischer Vergleich ausgewählter Missing Data Verfahren

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    2010

    Published in: Fehlende Daten bei der Verknüpfung von Prozess- und Befragungsdaten: ein empirischer Vergleich ausgewählter Missing Data Verfahren ; volume:4, number:1, year:2010, pages:27-57, A1-A17

  16. Roy, Shongkour [Author]; Khatun, Tanjina [Author]

    Effect of adolescent female fertility and healthcare spending on maternal and neonatal mortality in low resource setting of South Asia

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    2022

    Published in: Health economics review ; 12(2022), 1 vom: Dez., Artikel-ID 47, Seite 1-8

  18. Abowd, John M. [Author]; Abramowitz, Joelle [Author]; Levenstein, Margaret [Author]; McCue, Kristin [Author]; Patki, Dhiren [Author]; Raghunathan, Trivellore [Author]; Rodgers, Ann M. [Author]; Shapiro, Matthew D. [Author]; Nada Wasi [Author]; Zinsser, Dawn [Author]

    Finding needles in haystacks : multiple-imputation record linkage using machine learning - [This version: October 2021]

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    [Boston]: [Federal Reserve Bank of Boston], [2022]

    Published in: Federal Reserve Bank of Boston: Working papers ; 2022,11

  20. Dang, Hai-Anh [Author]; Carletto, Calogero [Author]

    Recall bias revisited: measure farm labor using mixed-mode surveys and multiple imputation

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    Bonn, Germany: IZA - Institute of Labor Economics, January 2022

    Published in: Forschungsinstitut zur Zukunft der Arbeit: Discussion paper series ; 14997