Ghent University Academic Bibliography

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Extending the Archimedean copula methodology to model multivariate survival data grouped in clusters of variable size

Leen Prenen, Roel Braekers and Luc Duchateau (UGent)

(2017) JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY. 79(2). p.483-505
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Semiparametric tests for sufficient cause interaction

Stijn Vansteelandt (UGent) , Tyler J VanderWeele and James M Robins

(2012) JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY. 74(2). p.223-244
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Estimation of direct effects for survival data by using the Aalen additive hazards model

Torben Martinussen, Stijn Vansteelandt (UGent) , Mette Gerster and Jacob von Bornemann Hjelmborg

(2011) JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY. 73(5). p.773-788
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Robust linear clustering

Luis Angel Garcia-Escudero, Alfonso Gordaliza, Roberto San Martin, Stefan Van Aelst (UGent) and Ruben Zamar

(2009) JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY. 71(1). p.301-318
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- Journal Article
- A1
Estimation of controlled direct effects

Sylvie Goetgeluk, Stijn Vansteelandt (UGent) and Els Goetghebeur (UGent)

(2008) JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY. 70(5). p.1049-4066
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- Journal Article
- A1
Causal inference with generalized structural mean models

Stijn Vansteelandt (UGent) and Els Goetghebeur (UGent)

(2003) JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY. 65. p.817-835
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- Journal Article
- A2
Contribution of the discussion of the paper. Inference from non-random samples by Copas and Li

Els Goetghebeur (UGent) and K LAPP

(1997) JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY. p.87-88
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- Journal Article
- A1
Simple fitting algorithms for incomplete categorical data

G Molenberghs and Els Goetghebeur (UGent)

(1997) JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY. 59(2). p.401-414

Academic Bibliography

Extending the Archimedean copula methodology to model multivariate survival data grouped in clusters of variable size

Semiparametric tests for sufficient cause interaction

Estimation of direct effects for survival data by using the Aalen additive hazards model

Robust linear clustering

Estimation of controlled direct effects

Causal inference with generalized structural mean models

Contribution of the discussion of the paper. Inference from non-random samples by Copas and Li

Simple fitting algorithms for incomplete categorical data

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