Ghent University Academic Bibliography

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Semiparametric linear transformation models for indirectly observed outcomes

Jan De Neve (UGent) and Heidelinde Dehaene (UGent)

(2021) STATISTICS IN MEDICINE. 40(9). p.2286-2303
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A novel estimand to adjust for rescue treatment in randomized clinical trials

Hege Michiels (UGent) , Cristina Sotto, An Vandebosch (UGent) and Stijn Vansteelandt (UGent)

(2021) STATISTICS IN MEDICINE. 40(9). p.2257-2271
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Using generalized linear models to implement g‐estimation for survival data with time‐varying confounding

Shaun R. Seaman, Ruth H. Keogh, Oliver Dukes (UGent) and Stijn Vansteelandt (UGent)

(2021) STATISTICS IN MEDICINE. 40(16). p.3779-3790
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Principled selection of baseline covariates to account for censoring in randomized trials with a survival endpoint

Kelly Van Lancker (UGent) , Oliver Dukes (UGent) and Stijn Vansteelandt (UGent)

(2021) STATISTICS IN MEDICINE. 40(18). p.4108-4121
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Confounder selection strategies targeting stable treatment effect estimators

Wen Wei Loh (UGent) and Stijn Vansteelandt (UGent)

(2021) STATISTICS IN MEDICINE. 40(3). p.607-630
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Formulating causal questions and principled statistical answers

Els Goetghebeur (UGent) , Saskia le Cessie, Bianca De Stavola, Erica E. M. Moodie and Ingeborg Waernbaum

(2020) STATISTICS IN MEDICINE. 39(30). p.4922-4948
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Doubly robust conditional logistic regression

Johan Zetterqvist, Karel Vermeulen (UGent) , Stijn Vansteelandt (UGent) and Arvid Sjölander

(2019) STATISTICS IN MEDICINE. 38(23). p.4749-4760
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Semiparametric linear transformation models : effect measures, estimators and applications

Jan De Neve (UGent) , Olivier Thas (UGent) and Thomas Gerds

(2019) STATISTICS IN MEDICINE. 38(8). p.1484-1501
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Evaluating futility of a binary clinical endpoint using early read‐outs

Kelly Van Lancker (UGent) , An Vandebosch (UGent) , Stijn Vansteelandt (UGent) and Filip De Ridder

(2019) STATISTICS IN MEDICINE. 38(28). p.5361-5375
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Mediation analysis of time‐to‐event endpoints accounting for repeatedly measured mediators subject to time‐varying confounding

Stijn Vansteelandt (UGent) , Martin Linder, Sjouke Vandenberghe (UGent) , Johan Steen (UGent) and Jesper Madsen

(2019) STATISTICS IN MEDICINE. 38(24). p.4828-4840

Academic Bibliography

Semiparametric linear transformation models for indirectly observed outcomes

A novel estimand to adjust for rescue treatment in randomized clinical trials

Using generalized linear models to implement g‐estimation for survival data with time‐varying confounding

Principled selection of baseline covariates to account for censoring in randomized trials with a survival endpoint

Confounder selection strategies targeting stable treatment effect estimators

Formulating causal questions and principled statistical answers

Doubly robust conditional logistic regression

Semiparametric linear transformation models : effect measures, estimators and applications

Evaluating futility of a binary clinical endpoint using early read‐outs

Mediation analysis of time‐to‐event endpoints accounting for repeatedly measured mediators subject to time‐varying confounding

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