Mendelian Randomization
Mendelova randomizacija je metoda za procenu kauzalnih efekata izloženosti na ishode, koristeći genetičke varijante kao instrumentalne varijable. Uvedena od strane Georgea Davey Smitha devedesetih godina, ona koristi Mendelov zakon segregacije za uklanjanje konfuzionog pristrasnosti. Postala je temeljna tehnika u epidemiološkom kauzalnom zaključivanju.
Pročitajte celu metodu
Prijavite se besplatnim nalogom da biste pročitali ovaj odeljak.
Method map
The neighbourhood of related methods — select a node to explore.
Izvori
- 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 ↗
Kako citirati ovu stranicu
ScholarGate. (2026, June 3). Mendelian Randomization Analysis. ScholarGate. https://scholargate.app/sr/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.
- Regresija metodom najmanjih kvadrata u dva koraka (2SLS / IV)Ekonometrija↔ compare
- Regresioni prekidni dizajn (RDD)Kauzalno zaključivanje↔ compare
Citirana u
Uočili ste grešku na ovoj stranici? Prijavite je ili predložite ispravku →