Assessing dynamic treatment strategies
This chapter contains sections titled: Introduction Motivating example Descriptive versus causal inference Notation and problem definition HIV example continued Latent variables Conditions for sequential plan identifiability Graphical representations of dynamic plans Abdominal aortic aneurysm survei...
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| Published in | Causality Vol. 986; pp. 85 - 100 |
|---|---|
| Main Authors | , , |
| Format | Book Chapter |
| Language | English |
| Published |
United Kingdom
Wiley
2012
John Wiley & Sons, Ltd |
| Subjects | |
| Online Access | Get full text |
| ISBN | 0470665564 9780470665565 |
| DOI | 10.1002/9781119945710.ch8 |
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| Abstract | This chapter contains sections titled:
Introduction
Motivating example
Descriptive versus causal inference
Notation and problem definition
HIV example continued
Latent variables
Conditions for sequential plan identifiability
Graphical representations of dynamic plans
Abdominal aortic aneurysm surveillance
Statistical inference and computation
Transparent actions
Refinements
Discussion
Acknowledgements
References |
|---|---|
| AbstractList | This chapter contains sections titled:
Introduction
Motivating example
Descriptive versus causal inference
Notation and problem definition
HIV example continued
Latent variables
Conditions for sequential plan identifiability
Graphical representations of dynamic plans
Abdominal aortic aneurysm surveillance
Statistical inference and computation
Transparent actions
Refinements
Discussion
Acknowledgements
References |
| Author | Didelez, Vanessa Berzuini, Carlo Dawid, Philip |
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| Copyright | Copyright © 2012 John Wiley & Sons, Ltd |
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| DOI | 10.1002/9781119945710.ch8 |
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| Editor | Bernardinelli, Luisa Berzuini, Carlo Dawid, Philip |
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Introduction
Motivating example
Descriptive versus causal inference
Notation and problem definition
HIV example... |
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| StartPage | 85 |
| SubjectTerms | descriptive versus causal inference distinction embodied in ‘regime indicator’, regime, ‘obs’ or ‘ex’, in operation dynamic treatment strategies, HIV, AAA MATHEMATICS probability models, ‘obs’ and ‘ex’ model Robins G‐computation algorithm, sequential treatment sequential data‐gathering and decision‐making processes sequential plan identifiability, and ‘causal DAG’ sequential randomization condition, and ‘stability’ assumption treatment plan effects, identifiability ‘experimental regime’ modalities, environmental and technological |
| Title | Assessing dynamic treatment strategies |
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