Estimating the Comparative Effectiveness of Feeding Interventions in the Pediatric Intensive Care Unit: A Demonstration of Longitudinal Targeted Maximum Likelihood Estimation

Author:

Kreif Noémi1,Tran Linh2,Grieve Richard34,De Stavola Bianca35,Tasker Robert C67,Petersen Maya2

Affiliation:

1. Centre for Health Economics, University of York, York, United Kingdom

2. Division of Biostatistics, School of Public Health, University of California, Berkeley, Berkeley, California

3. Centre for Statistical Methodology, London School of Hygiene and Tropical Medicine, London, United Kingdom

4. Department of Health Services Research and Policy, London School of Hygiene and Tropical Medicine, London, United Kingdom

5. Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, United Kingdom

6. Department of Anesthesiology, Perioperative and Pain Medicine, Division of Critical Care, Boston Children’s Hospital, Boston, Massachusetts

7. Department of Neurology, Boston Children’s Hospital, Boston, Massachusetts

Funder

Medical Research Council

Publisher

Oxford University Press (OUP)

Subject

Epidemiology

Reference59 articles.

1. Counterpoint: epidemiology to guide decision-making: moving away from practice-free research;Hernán;Am J Epidemiol,2015

2. A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect;Robins;Math Model,1986

3. Information recovery and bias adjustment in proportional hazards regression analysis of randomized trials using surrogate markers;Robins,1993

4. Marginal mean models for dynamic regimes;Murphy;J Am Stat Assoc,2001

5. Optimal dynamic treatment regimes;Murphy;J R Stat Soc Series B Stat Methodol,2003

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