SwePub
Sök i LIBRIS databas

  Utökad sökning

id:"swepub:oai:DiVA.org:umu-94993"
 

Sökning: id:"swepub:oai:DiVA.org:umu-94993" > Causal inference an...

  • Persson, Emma,1981-Umeå universitet,Statistik (författare)

Causal inference and case-control studies with applications related to childhood diabetes

  • BokEngelska2014

Förlag, utgivningsår, omfång ...

  • Umeå :Umeå universitet,2014
  • 22 s.
  • electronicrdacarrier

Nummerbeteckningar

  • LIBRIS-ID:oai:DiVA.org:umu-94993
  • ISBN:9789176011515
  • https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-94993URI

Kompletterande språkuppgifter

  • Språk:engelska
  • Sammanfattning på:engelska

Ingår i deldatabas

Klassifikation

  • Ämneskategori:vet swepub-contenttype
  • Ämneskategori:dok swepub-publicationtype

Varianttitlar

  • Kausal inferens och fall-kontroll studier med applikationer inom barndiabetes

Serie

  • Statistical studies,1100-8989 ;48

Anmärkningar

  • This thesis contributes to the research area of causal inference, where estimation of the effect of a treatment on an outcome of interest is the main objective. Some aspects of the estimation of average causal effects in observational studies in general, and case-control studies in particular, are explored.An important part of estimating causal effects in an observational study is to control for covariates. The first paper of this thesis concerns the selection of minimal covariate sets sufficient for unconfoundedness of the treatment assignment. A data-driven implementation of two covariate selection algorithms is proposed and evaluated.A common sampling scheme in epidemiology, and when investigating rare events, is the case-control design. In the second paper we study estimators of the marginal causal odds ratio in matched and independent case-control designs. Estimators that, under a logistic regression model, utilize information about the known prevalence of being a case is examined and compared through simulations.The third paper investigates the particular situation where case-control sampled data is reused to estimate the effect of the case-defining event on an outcome of interest. The consequence of ignoring the design when estimating the average causal effect is discussed and a design-weighted matching estimator is proposed. The performance of the estimator is evaluated with simulation experiments, when matching on the covariates directly and when matching on the propensity score.The last paper studies the effect of type 1 diabetes mellitus (T1DM) on school achievements using data from the Swedish Childhood Diabetes Register, a population-based incidence register. We apply theoretical results from the second and third papers in the estimation of the average causal effect within the T1DM population. A matching estimator that accounts for the matched case-control design is used.

Ämnesord och genrebeteckningar

Biuppslag (personer, institutioner, konferenser, titlar ...)

  • Waernbaum, Ingeborg,DocentUmeå universitet,Statistik(Swepub:umu)inwa0007 (preses)
  • de Luna, Xavier,ProfessorUmeå universitet,Statistik(Swepub:umu)xade0001 (preses)
  • Dahlquist, Gisela,ProfessorUmeå universitet,Pediatrik(Swepub:umu)gida0001 (preses)
  • Vansteelandt, Stijn,ProfessorGhent University, Belgium (opponent)
  • Umeå universitetStatistik (creator_code:org_t)

Internetlänk

Hitta via bibliotek

Till lärosätets databas

Sök utanför SwePub

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.

 
pil uppåt Stäng

Kopiera och spara länken för att återkomma till aktuell vy