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Your search keyword '"Rijnhart, Judith J.M."' showing total 19 results
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19 results on '"Rijnhart, Judith J.M."'

6. Transitions across cognitive states and death among older adults in relation to education: A multistate survival model using data from six longitudinal studies

Author

Robitaille, Annie, van den Hout, Ardo, Machado, Robson J.M., Bennett, David A., Čukić, Iva, Deary, Ian J., Hofer, Scott M., Hoogendijk, Emiel O., Huisman, Martijn, Johansson, Boo, Koval, Andriy V., van der Noordt, Maaike, Piccinin, Andrea M., Rijnhart, Judith J.M., Singh-Manoux, Archana, Skoog, Johan, Skoog, Ingmar, Starr, John, Vermunt, Lisa, Clouston, Sean, and Muniz Terrera, Graciela

Published
2018
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12. Gait speed as predictor of transition into cognitive impairment: Findings from three longitudinal studies on aging

Author

Hoogendijk, Emiel O., primary, Rijnhart, Judith J.M., additional, Skoog, Johan, additional, Robitaille, Annie, additional, van den Hout, Ardo, additional, Ferrucci, Luigi, additional, Huisman, Martijn, additional, Skoog, Ingmar, additional, Piccinin, Andrea M., additional, Hofer, Scott M., additional, and Muniz Terrera, Graciela, additional

Published
2020
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14. The Use of Traditional and Causal Estimators for Mediation Models with a Binary Outcome and Exposure-Mediator Interaction.

Author

Rijnhart, Judith J.M., Valente, Matthew J., MacKinnon, David P., Twisk, Jos W.R., and Heymans, Martijn W.

Subjects
*MEDIATION (Statistics)
Abstract

An important recent development in mediation analysis is the use of causal mediation analysis. Causal mediation analysis decomposes the total exposure effect into causal direct and indirect effects in the presence of exposure-mediator interaction. However, in practice, traditional mediation analysis is still most widely used. The aim of this paper is to demonstrate the similarities and differences between the causal and traditional estimators for mediation models with a continuous mediator, a binary outcome, and exposure-mediator interaction. A real-life data example, analytical comparisons, and a simulation study were used to demonstrate the similarities and differences between the traditional and causal estimators. The causal and traditional estimators provide similar indirect effect estimates, but different direct and total effect estimates. Traditional mediation analysis may only be used when conditional direct effect estimates are of interest. Causal mediation analysis is the generally preferred method as its casual effect estimates help unravel causal mechanisms. [ABSTRACT FROM AUTHOR]

Published
2021
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15. Socioeconomic inequalities in frailty among older adults in six low- and middle-income countries: Results from the WHO Study on global AGEing and adult health (SAGE)

Author

Hoogendijk, Emiel O., primary, Rijnhart, Judith J.M., additional, Kowal, Paul, additional, Pérez-Zepeda, Mario U., additional, Cesari, Matteo, additional, Abizanda, Pedro, additional, Flores Ruano, Teresa, additional, Schop-Etman, Astrid, additional, Huisman, Martijn, additional, and Dent, Elsa, additional

Published
2018
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16. Performance of methods to conduct mediation analysis with time‐to‐event outcomes.

Author

Burgos Ochoa, Lizbeth, Rijnhart, Judith J.M., Penninx, Brenda W., Wardenaar, Klaas J., Twisk, Jos W.R., and Heymans, Martijn W.

Subjects
*MEDIATION, *EMPIRICAL research
Abstract

Previous studies have discouraged the use of the Cox proportional hazards (PH) model for traditional mediation analysis as it might provide biased results. Accelerated failure time (AFT) models have been proposed as an alternative for Cox PH models. In addition, the use of the potential outcomes framework has been proposed for mediation models with time‐to‐event outcomes. The aim of this paper is to investigate the performance of traditional mediation analysis and potential outcomes mediation analysis based on both the Cox PH and the AFT model. This is done by means of a Monte Carlo simulation study and the illustration of the methods using an empirical data set. Both the product‐of‐coefficients method of the traditional mediation analysis and the potential outcomes framework yield unbiased estimates with respect to their own underlying indirect effect value for simple mediation models with a time‐to‐event outcome and estimated based on Cox PH or AFT. [ABSTRACT FROM AUTHOR]

Published
2020
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17. O3‐02‐03: FACTORS AND TRANSITIONS BETWEEN COGNITIVE STATES: A MULTI‐STUDY APPROACH USING DATA FROM SIX INTERNATIONAL LONGITUDINAL STUDIES OF AGEING

Author

Terrera, Graciela Muniz, primary, Robitaille, Annie, additional, van den Hout, Ardo, additional, Machado, Robson Mariano, additional, Čukić, Iva, additional, Hoogendijk, Emiel, additional, Koval, Andriy V., additional, Piccinin, Andrea M., additional, Rijnhart, Judith J.M., additional, Skoog, Johan, additional, Deary, Ian J., additional, Johansson, Boo, additional, Singh-Manoux, Archana, additional, Skoog, Ingmar, additional, Huisman, Martijn, additional, and Hofer, Scott M., additional

Published
2018
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18. TRANSITIONS ACROSS COGNITIVE STATES AND MORTALITY AMONG OLDER ADULTS: A MULTI-STATE SURVIVAL MODEL

Author

Robitaille, Annie, primary, van den Hout, Ardo, additional, Machado, Robson Mariano, additional, Čukić, Iva, additional, Deary, Ian J., additional, Hofer, Scott M., additional, Hoogendijk, Emiel, additional, Johansson, Boo, additional, Koval, Andriy V., additional, van der Noordt, Maaike, additional, Piccinin, Andrea M., additional, Rijnhart, Judith J.M., additional, Skoog, Johan, additional, Skoog, Ingmar, additional, Vermunt, Lisa, additional, and Terrera, Graciela Muniz, additional

Published
2017
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