What's new in the quantification of causal effects from longitudinal cohort studies: a brief introduction to marginal structural models for intensivists. (Q41143775)

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scientific article published on 24 June 2015

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English	What's new in the quantification of causal effects from longitudinal cohort studies: a brief introduction to marginal structural models for intensivists.	scientific article published on 24 June 2015

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scholarly article

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Europe PubMed Central

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18 February 2020

What's new in the quantification of causal effects from longitudinal cohort studies: a brief introduction to marginal structural models for intensivists (English)

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Europe PubMed Central

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:26104119%20AND%20SRC:MED&resulttype=core&format=json

18 February 2020

Sébastien Bailly

1

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18 February 2020

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R Pirracchio

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18 February 2020

J F Timsit

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18 February 2020

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24 June 2015

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18 February 2020

Intensive Care Medicine

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18 February 2020

42

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18 February 2020

4

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18 February 2020

576-579

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18 February 2020

https://scigraph.springernature.com/pub.10.1007/s00134-015-3919-6

0 references

A comparison of observational studies and randomized, controlled trials

1 reference

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The central role of the propensity score in observational studies for causal effects

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Propensity score estimators for the average treatment effect and the average treatment effect on the treated may yield very different estimates

1 reference

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21 January 2018

Constructing inverse probability weights for marginal structural models

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21 January 2018

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21 January 2018

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Application of marginal structural models in pharmacoepidemiologic studies: a systematic review.

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Impact of sedation and analgesia during noninvasive positive pressure ventilation on outcome: a marginal structural model causal analysis.

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21 January 2018

Population intervention causal effects based on stochastic interventions

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21 January 2018

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