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  • Search: subject:"Effect modification"
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Year of publication
Subject
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effect modification 6 confounding 3 Causal inference 1 Effect modification 1 Gender 1 Immigrants 1 Substance use 1 TMLE 1 Time in USA 1 USA 1 Youth 1 bias 1 biomarkers 1 classification 1 comparative effectiveness 1 conditional effects 1 direct and indirect effects 1 effect decomposition 1 effect heterogeneity 1 heterogeneity 1 indirect comparison 1 interaction 1 meta-analysis 1 mixed treatment comparison 1 moderation 1 natural effect models 1 network meta-analysis 1 randomized controlled trial 1 statistical interaction 1 synergism 1 systematic review 1 targeted learning 1
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Online availability
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Undetermined 5 Free 2 CC license 1
Type of publication
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Article 5 Book / Working Paper 2
Type of publication (narrower categories)
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research-article 4
Language
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English 4 Undetermined 3
Author
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VanderWeele, Tyler J. 2 Almeida, Joanna 1 Godette, Dionne C. 1 Hubbard, Alan 1 Jansen, Jeroen P. 1 Johnson, Renee M. 1 Knol, Mirjam J. 1 Levy, Jonathan 1 Loeys, Tom 1 Loh, Wen Wei 1 Matsumoto, Atsushi 1 Moerkerke, Beatrijs 1 Naci, Huseyin 1 Pepe, Margaret 1 Pirracchio, Romain 1 Song, Xiao 1 Vansteelandt, Stijn 1 van der Laan, Mark 1
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Institution
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Berkeley Electronic Press 1 London School of Economics (LSE) 1
Published in...
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Epidemiologic Methods 3 Journal of Causal Inference 1 LSE Research Online Documents on Economics 1 Social Science & Medicine 1 UW Biostatistics Working Paper Series 1
Source
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Other ZBW resources 4 RePEc 3
Showing 1 - 7 of 7
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A fundamental measure of treatment effect heterogeneity
Levy, Jonathan; van der Laan, Mark; Hubbard, Alan; … - In: Journal of Causal Inference 9 (2021) 1, pp. 83-108
Abstract The stratum-specific treatment effect function is a random variable giving the average treatment effect (ATE) for a randomly drawn stratum of potential confounders a clinician may use to assign treatment. In addition to the ATE, the variance of the stratum-specific treatment effect...
Persistent link: https://www.econbiz.de/10014610883
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Heterogeneous indirect effects for multiple mediators using interventional effect models
Loh, Wen Wei; Moerkerke, Beatrijs; Loeys, Tom; … - In: Epidemiologic Methods 9 (2021) 1
that encode the interventional indirect effects as causal model parameters, thus readily permitting effect modification by …
Persistent link: https://www.econbiz.de/10014590669
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Is network meta-analysis as valid as standard pairwise meta-analysis? It all depends on the distribution of effect modifiers
Jansen, Jeroen P.; Naci, Huseyin - London School of Economics (LSE) - 2013
Background In the last decade, network meta-analysis of randomized controlled trials has been introduced as an extension of pairwise meta-analysis. The advantage of network meta-analysis over standard pairwise meta-analysis is that it facilitates indirect comparisons of multiple interventions...
Persistent link: https://www.econbiz.de/10011126556
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A Tutorial on Interaction
VanderWeele, Tyler J.; Knol, Mirjam J. - In: Epidemiologic Methods 3 (2014) 1, pp. 33-72
Abstract In this tutorial, we provide a broad introduction to the topic of interaction between the effects of exposures. We discuss interaction on both additive and multiplicative scales using risks, and we discuss their relation to statistical models (e.g. linear, log-linear, and logistic...
Persistent link: https://www.econbiz.de/10014590592
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Substance use, generation and time in the United States: The modifying role of gender for immigrant urban adolescents
Almeida, Joanna; Johnson, Renee M.; Matsumoto, Atsushi; … - In: Social Science & Medicine 75 (2012) 12, pp. 2069-2075
Although immigrant youth have lower rates of substance use than US born youth, whether substance use varies by generation and time in the US is unclear. This study examines adolescent alcohol, tobacco and marijuana use by generation/time in US (i.e., first generation, in US ≤4 years; first...
Persistent link: https://www.econbiz.de/10011042609
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Confounding and Effect Modification: Distribution and Measure
VanderWeele, Tyler J. - In: Epidemiologic Methods 1 (2012) 1, pp. 55-82
Abstract The paper considers the properties of and relations between confounding and effect modification from the … of confounding depends on how the exposure was assigned; the presence of effect modification does not. The possibility of … confounding without effect modification and vice versa is discussed both with respect to distribution and measure. Discussion is …
Persistent link: https://www.econbiz.de/10014590578
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Evaluating Markers for Selecting a Patient's Treatment
Song, Xiao; Pepe, Margaret - Berkeley Electronic Press - 2004
Selecting the best treatment for a patient's disease may be facilitated by evaluating clinical characteristics or biomarker measurements at diagnosis. We consider how to evaluate the potential of such measurements to impact on treatment selection algorithms. For example, magnetic resonance...
Persistent link: https://www.econbiz.de/10005751053
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