Sökning: onr:"swepub:oai:DiVA.org:uu-439132" > Formulating causal ...
Fältnamn | Indikatorer | Metadata |
---|---|---|
000 | 04716naa a2200541 4500 | |
001 | oai:DiVA.org:uu-439132 | |
003 | SwePub | |
008 | 210330s2020 | |||||||||||000 ||eng| | |
009 | oai:prod.swepub.kib.ki.se:144731511 | |
009 | oai:DiVA.org:uu-418045 | |
024 | 7 | a https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-4391322 URI |
024 | 7 | a https://doi.org/10.1002/sim.87412 DOI |
024 | 7 | a http://kipublications.ki.se/Default.aspx?queryparsed=id:1447315112 URI |
024 | 7 | a https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-4180452 URI |
040 | a (SwePub)uud (SwePub)ki | |
041 | a engb eng | |
042 | 9 SwePub | |
072 | 7 | a ref2 swepub-contenttype |
072 | 7 | a art2 swepub-publicationtype |
100 | 1 | a Goetghebeur, Elsu Univ Ghent, Dept Appl Math Comp Sci & Stat, Ghent, Belgium.;Karolinska Inst, Dept Med Epidemiol & Biostat, Stockholm, Sweden.4 aut |
245 | 1 0 | a Formulating causal questions and principled statistical answers |
264 | c 2020-09-23 | |
264 | 1 | b WILEY,c 2020 |
338 | a electronic2 rdacarrier | |
520 | a Although review papers on causal inference methods are now available, there is a lack of introductory overviews onwhatthey can render and on the guiding criteria for choosing one particular method. This tutorial gives an overview in situations where an exposure of interest is set at a chosen baseline ("point exposure") and the target outcome arises at a later time point. We first phrase relevant causal questions and make a case for being specific about the possible exposure levels involved and the populations for which the question is relevant. Using the potential outcomes framework, we describe principled definitions of causal effects and of estimation approaches classified according to whether they invoke the no unmeasured confounding assumption (including outcome regression and propensity score-based methods) or an instrumental variable with added assumptions. We mainly focus on continuous outcomes and causal average treatment effects. We discuss interpretation, challenges, and potential pitfalls and illustrate application using a "simulation learner," that mimics the effect of various breastfeeding interventions on a child's later development. This involves a typical simulation component with generated exposure, covariate, and outcome data inspired by a randomized intervention study. The simulation learner further generates various (linked) exposure types with a set of possible values per observation unit, from which observed as well as potential outcome data are generated. It thus provides true values of several causal effects. R code for data generation and analysis is available on , where SAS and Stata code for analysis is also provided. | |
650 | 7 | a NATURVETENSKAPx Matematikx Sannolikhetsteori och statistik0 (SwePub)101062 hsv//swe |
650 | 7 | a NATURAL SCIENCESx Mathematicsx Probability Theory and Statistics0 (SwePub)101062 hsv//eng |
650 | 7 | a MEDICIN OCH HÄLSOVETENSKAPx Hälsovetenskapx Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi0 (SwePub)303022 hsv//swe |
650 | 7 | a MEDICAL AND HEALTH SCIENCESx Health Sciencesx Public Health, Global Health, Social Medicine and Epidemiology0 (SwePub)303022 hsv//eng |
653 | a causation | |
653 | a instrumental variable | |
653 | a inverse probability weighting | |
653 | a matching | |
653 | a potential outcomes | |
653 | a propensity score | |
700 | 1 | a le Cessie, Saskiau Leiden Univ, Med Ctr, Dept Clin Epidemiol Biomed Data Sci, Leiden, Netherlands.4 aut |
700 | 1 | a De Stavola, Biancau UCL, Great Ormond St Inst Child Hlth, London, England.4 aut |
700 | 1 | a Moodie, Erica E. M.u McGill Univ, Div Biostat, Montreal, PQ, Canada.4 aut |
700 | 1 | a Waernbaum, Ingeborg,d 1972-u Uppsala universitet,Statistiska institutionen4 aut0 (Swepub:uu)ingwa901 |
710 | 2 | a Univ Ghent, Dept Appl Math Comp Sci & Stat, Ghent, Belgium.;Karolinska Inst, Dept Med Epidemiol & Biostat, Stockholm, Sweden.b Leiden Univ, Med Ctr, Dept Clin Epidemiol Biomed Data Sci, Leiden, Netherlands.4 org |
773 | 0 | t Statistics in Medicined : WILEYg 39:30, s. 4922-4948q 39:30<4922-4948x 0277-6715x 1097-0258 |
856 | 4 | u https://doi.org/10.1002/sim.8741y Fulltext |
856 | 4 | u https://uu.diva-portal.org/smash/get/diva2:1540713/FULLTEXT01.pdfx primaryx Raw objecty fulltext:print |
856 | 4 | u https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/sim.8741 |
856 | 4 8 | u https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-439132 |
856 | 4 8 | u https://doi.org/10.1002/sim.8741 |
856 | 4 8 | u http://kipublications.ki.se/Default.aspx?queryparsed=id:144731511 |
856 | 4 8 | u https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-418045 |
Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.
Kopiera och spara länken för att återkomma till aktuell vy