Romain Neugebauer to Confounding Factors (Epidemiology)
This is a "connection" page, showing publications Romain Neugebauer has written about Confounding Factors (Epidemiology).
Connection Strength
0.568
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High-dimensional propensity score algorithm in comparative effectiveness research with time-varying interventions. Stat Med. 2015 Feb 28; 34(5):753-81.
Score: 0.124
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Super learning to hedge against incorrect inference from arbitrary parametric assumptions in marginal structural modeling. J Clin Epidemiol. 2013 Aug; 66(8 Suppl):S99-109.
Score: 0.113
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Dynamic marginal structural modeling to evaluate the comparative effectiveness of more or less aggressive treatment intensification strategies in adults with type 2 diabetes. Pharmacoepidemiol Drug Saf. 2012 May; 21 Suppl 2:99-113.
Score: 0.103
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Causal inference in epidemiological studies with strong confounding. Stat Med. 2012 Jun 15; 31(13):1380-404.
Score: 0.102
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Methods for using clinical laboratory test results as baseline confounders in multi-site observational database studies when missing data are expected. Pharmacoepidemiol Drug Saf. 2016 07; 25(7):798-814.
Score: 0.068
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A comparison of confounding adjustment methods for assessment of asthma controller medication effectiveness. Am J Epidemiol. 2014 Mar 01; 179(5):648-59.
Score: 0.058