Air pollution and cardiovascular and thromboembolic events in older adults with high-risk conditions
RC Nethery, K Josey, P Gandhi, JH Kim… - American journal of …, 2023 - academic.oup.com
Little epidemiologic research has focused on pollution-related risks in medically vulnerable
or marginalized groups. Using a nationwide 50% random sample of 2008–2016 Medicare …
or marginalized groups. Using a nationwide 50% random sample of 2008–2016 Medicare …
Marginal structural Cox models for estimating the association between β-interferon exposure and disease progression in a multiple sclerosis cohort
Longitudinal observational data are required to assess the association between exposure to
β-interferon medications and disease progression among relapsing-remitting multiple …
β-interferon medications and disease progression among relapsing-remitting multiple …
Causal inference in multi-state models–sickness absence and work for 1145 participants after work rehabilitation
Background Multi-state models, as an extension of traditional models in survival analysis,
have proved to be a flexible framework for analysing the transitions between various states …
have proved to be a flexible framework for analysing the transitions between various states …
Estimating inverse probability weights using super learner when weight‐model specification is unknown in a marginal structural Cox model context
Correct specification of the inverse probability weighting (IPW) model is necessary for
consistent inference from a marginal structural Cox model (MSCM). In practical applications …
consistent inference from a marginal structural Cox model (MSCM). In practical applications …
Performance of the marginal structural cox model for estimating individual and joined effects of treatments given in combination
C Lusivika-Nzinga, H Selinger-Leneman… - BMC Medical Research …, 2017 - Springer
Abstract Background The Marginal Structural Cox Model (Cox-MSM), an alternative
approach to handle time-dependent confounder, was introduced for survival analysis and …
approach to handle time-dependent confounder, was introduced for survival analysis and …
On the application of statistical learning approaches to construct inverse probability weights in marginal structural cox models: hedging against weight-model …
ME Karim, J Petkau, P Gustafson… - Communications in …, 2017 - Taylor & Francis
The marginal structural Cox model (MSCM) estimates can be highly sensitive to weight-
model misspecification. We assess the performance of various popular statistical learners …
model misspecification. We assess the performance of various popular statistical learners …
Using marginal structural joint models to estimate the effect of a time‐varying treatment on recurrent events and survival: An application on arrhythmogenic …
C Gregorio, C Cappelletto, S Romani… - Biometrical …, 2022 - Wiley Online Library
In many clinical applications to evaluate the effect of a treatment, randomized control trials
are difficult to carry out. On the other hand, clinical observational registries are often …
are difficult to carry out. On the other hand, clinical observational registries are often …
Robust versus consistent variance estimators in marginal structural Cox models
D Enders, S Engel, R Linder, I Pigeot - Statistics in Medicine, 2018 - Wiley Online Library
In survival analyses, inverse‐probability‐of‐treatment (IPT) and inverse‐probability‐of‐
censoring (IPC) weighted estimators of parameters in marginal structural Cox models are …
censoring (IPC) weighted estimators of parameters in marginal structural Cox models are …
Quantitative Methods for Improving Medical Decision-Making
MC Erlendsdottir - 2022 - search.proquest.com
Innovation in causal inference and implementation of electronic health record systems are
rapidly transforming medical care. In this dissertation, we present three examples in which …
rapidly transforming medical care. In this dissertation, we present three examples in which …