%0 Journal Article %1 Petersen2011 %A Petersen, Maya L %D 2011 %J Epidemiology (Cambridge, Mass.) %K Causality CombinedModalityTherapy DecisionMaking EpidemiologicResearchDesign EpidemiologicStudies Female Humans Male Models Observation PatientSelection SelectionBias SensitivityandSpecificity Statistical RCT %N 3 %P 378-81 %R 10.1097/EDE.0b013e3182126127 %T Compound treatments, transportability, and the structural causal model: the power and simplicity of causal graphs. %U http://ovidsp.ovid.com/ovidweb.cgi?T=JS&CSC=Y&NEWS=N&PAGE=fulltext&D=ovftl&AN=00001648-201105000-00019 http://www.ncbi.nlm.nih.gov/pubmed/21464653 %V 22 %X References: 1. Hernan MA, VanderWeele TJ. Compound treatments and transportability of causal inference. Epidemiology. 2011;22:368-377. 2. Pearl J. Causality: Models, Reasoning, and Inference. 2nd ed. New York: Cambridge University Press; 2009. 3. Pearl J. On the consistency assumption in causal inference: axiom, definition, assumption, or a theorem? Epidemiology. 2010;21:872-875. 4. Robins J, Hernan MA. Estimation of the causal effects of time-varying exposures. In: Fitzmaurice G, Davidian M, Verbeke G, Molenbergh G, eds. Longitudinal Data Analysis. Handbooks of Modern Statistical Methods. Boca Raton, FL: Chapman and Hall/CRC; 2009:566-568. 5. Pearl J, Bereinboim E. Transportability Across Studies: A Formal Approach. Technical Report. Los Angeles: Computer Science Department, University of California; 2010. 6. Dawid A. Influence diagrams for causal modelling and inference. Int Stat Rev. 2002;70:161-189. 7. VanderWeele TJ. Concerning the consistency assumption in causal inference. Epidemiology. 2009;20:880-883. %@ 1044-3983

@article{Petersen2011, abstract = {References: 1. Hernan MA, VanderWeele TJ. Compound treatments and transportability of causal inference. Epidemiology. 2011;22:368-377. 2. Pearl J. Causality: Models, Reasoning, and Inference. 2nd ed. New York: Cambridge University Press; 2009. 3. Pearl J. On the consistency assumption in causal inference: axiom, definition, assumption, or a theorem? Epidemiology. 2010;21:872-875. 4. Robins J, Hernan MA. Estimation of the causal effects of time-varying exposures. In: Fitzmaurice G, Davidian M, Verbeke G, Molenbergh G, eds. Longitudinal Data Analysis. Handbooks of Modern Statistical Methods. Boca Raton, FL: Chapman and Hall/CRC; 2009:566-568. 5. Pearl J, Bereinboim E. Transportability Across Studies: A Formal Approach. Technical Report. Los Angeles: Computer Science Department, University of California; 2010. 6. Dawid A. Influence diagrams for causal modelling and inference. Int Stat Rev. 2002;70:161-189. 7. VanderWeele TJ. Concerning the consistency assumption in causal inference. Epidemiology. 2009;20:880-883.}, added-at = {2023-02-03T11:44:35.000+0100}, author = {Petersen, Maya L}, biburl = {https://www.bibsonomy.org/bibtex/2eb538ca1bc33a95aa849c984d0708fa8/jepcastel}, city = {From the Divisions of Biostatistics and Epidemiology, School of Public Health, University of California, Berkeley, CA.}, doi = {10.1097/EDE.0b013e3182126127}, interhash = {e64587e109585c70b69f41fc683a19a7}, intrahash = {eb538ca1bc33a95aa849c984d0708fa8}, isbn = {1044-3983}, issn = {1531-5487}, journal = {Epidemiology (Cambridge, Mass.)}, keywords = {Causality CombinedModalityTherapy DecisionMaking EpidemiologicResearchDesign EpidemiologicStudies Female Humans Male Models Observation PatientSelection SelectionBias SensitivityandSpecificity Statistical RCT}, month = {5}, note = {6099<m:linebreak></m:linebreak>[Editorial]; NLM Journal Code: a2t, 9009644;}, number = 3, pages = {378-81}, pmid = {21464653}, timestamp = {2023-05-04T08:59:38.000+0200}, title = {Compound treatments, transportability, and the structural causal model: the power and simplicity of causal graphs.}, url = {http://ovidsp.ovid.com/ovidweb.cgi?T=JS&CSC=Y&NEWS=N&PAGE=fulltext&D=ovftl&AN=00001648-201105000-00019 http://www.ncbi.nlm.nih.gov/pubmed/21464653}, volume = 22, year = 2011 }