Mendelsk randomisering
Mendelsk randomisering er en metode til at estimere kausale effekter af eksponeringer på udfald ved at bruge genetiske varianter som instrumentvariable. Den blev introduceret af George Davey Smith i 1990'erne og udnytter Mendels lov om segregation til at fjerne konfounding-bias. Den er blevet en hjørnestensteknik inden for epidemiologisk kausal inferens.
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Method map
The neighbourhood of related methods — select a node to explore.
Kilder
- Davey Smith, G., & Hemani, G. (2014). Mendelian randomization: genetic anchors for causal inference in epidemiological studies. Human Molecular Genetics, 23(R1), R89-R98. DOI: 10.1093/hmg/ddu328 ↗
- Hemani, G., Bowden, J., & Davey Smith, G. (2018). Evaluating the potential role of pleiotropy in Mendelian randomization studies. European Journal of Epidemiology, 33(9), 867-876. DOI: 10.1093/hmg/ddy163 ↗
- Morrison, J., Knoblauch, N., Marcus, J. H., Stephens, M., & He, X. (2020). Mendelian randomization accounting for sample overlap. Nature Communications, 11(1), 574. link ↗
Sådan citerer du denne side
ScholarGate. (2026, June 3). Mendelian Randomization Analysis. ScholarGate. https://scholargate.app/da/causal-inference/mendelian-randomization
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- Tostrins regressionsanalyse (2SLS / IV)Økonometri↔ compare
- Regression Discontinuity Design (RDD)Kausal inferens↔ compare
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