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Dimitris Rizopoulos

Showing results (41-50 of 222) with videos related to

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Statistics in Medicine|October 16, 2015
Prediction of hemoglobin in blood donors using a latent class mixed-effects transition modelKazem Nasserinejad, Joost van Rosmalen, Wim de Kort, et al.
Statistics in Medicine|February 11, 2022
Shared decision making of burdensome surveillance tests using personalized schedules and their burden and benefitAnirudh Tomer, Daan Nieboer, Monique J Roobol, et al.
Translational Andrology and Urology|March 30, 2018
Active surveillance: a review of risk-based, dynamic monitoringDaan Nieboer, Anirudh Tomer, Dimitris Rizopoulos, et al.
Biometrics|July 25, 2018
Personalized schedules for surveillance of low-risk prostate cancer patientsAnirudh Tomer, Daan Nieboer, Monique J Roobol, et al.
Biometrical Journal. Biometrische Zeitschrift|June 21, 2014
A characterization of missingness at random in a generalized shared-parameter joint modeling framework for longitudinal and time-to-event data, and sensitivity analysisEdmund Njeru Njagi, Geert Molenberghs, Michael G Kenward, et al.
Statistics in Medicine|August 25, 2020
A marginal estimate for the overall treatment effect on a survival outcome within the joint modeling frameworkFloor M van Oudenhoven, Sophie H N Swinkels, Joseph G Ibrahim, et al.
BMC Medical Research Methodology|November 19, 2022
Using joint models to study the association between CD4 count and the risk of death in TB/HIV dataNobuhle N Mchunu, Henry G Mwambi, Dimitris Rizopoulos, et al.
Kidney International|May 29, 2018
Personalized dynamic risk assessment in nephrology is a next step in prognostic researchMilos Brankovic, Isabella Kardys, Ewout J Hoorn, et al.
Scientific Reports|March 13, 2026
Plasma proteins and mechanisms involved in the evolvement of cardiac function after myocardial infarctionTeun B Petersen, Dimitris Rizopoulos, Eric Boersma, et al.
Biometrics|November 2, 2017
Improved dynamic predictions from joint models of longitudinal and survival data with time-varying effects using P-splinesEleni-Rosalina Andrinopoulou, Paul H C Eilers, Johanna J M Takkenberg, et al.
Pageof 23

Showing results (41-50 of 222) with videos related to

Sort By:
Pageof 23
Statistics in Medicine|October 16, 2015
Prediction of hemoglobin in blood donors using a latent class mixed-effects transition modelKazem Nasserinejad, Joost van Rosmalen, Wim de Kort, et al.
Statistics in Medicine|February 11, 2022
Shared decision making of burdensome surveillance tests using personalized schedules and their burden and benefitAnirudh Tomer, Daan Nieboer, Monique J Roobol, et al.
Translational Andrology and Urology|March 30, 2018
Active surveillance: a review of risk-based, dynamic monitoringDaan Nieboer, Anirudh Tomer, Dimitris Rizopoulos, et al.
Biometrics|July 25, 2018
Personalized schedules for surveillance of low-risk prostate cancer patientsAnirudh Tomer, Daan Nieboer, Monique J Roobol, et al.
Biometrical Journal. Biometrische Zeitschrift|June 21, 2014
A characterization of missingness at random in a generalized shared-parameter joint modeling framework for longitudinal and time-to-event data, and sensitivity analysisEdmund Njeru Njagi, Geert Molenberghs, Michael G Kenward, et al.
Statistics in Medicine|August 25, 2020
A marginal estimate for the overall treatment effect on a survival outcome within the joint modeling frameworkFloor M van Oudenhoven, Sophie H N Swinkels, Joseph G Ibrahim, et al.
BMC Medical Research Methodology|November 19, 2022
Using joint models to study the association between CD4 count and the risk of death in TB/HIV dataNobuhle N Mchunu, Henry G Mwambi, Dimitris Rizopoulos, et al.
Kidney International|May 29, 2018
Personalized dynamic risk assessment in nephrology is a next step in prognostic researchMilos Brankovic, Isabella Kardys, Ewout J Hoorn, et al.
Scientific Reports|March 13, 2026
Plasma proteins and mechanisms involved in the evolvement of cardiac function after myocardial infarctionTeun B Petersen, Dimitris Rizopoulos, Eric Boersma, et al.
Biometrics|November 2, 2017
Improved dynamic predictions from joint models of longitudinal and survival data with time-varying effects using P-splinesEleni-Rosalina Andrinopoulou, Paul H C Eilers, Johanna J M Takkenberg, et al.
Pageof 23