Uchambuzi wa hisia kwa upendeleo uliofichwa (Vipimo vya Rosenbaum / E-value)
Uchambuzi wa hisia kwa upendeleo uliofichwa ni familia ya mbinu ambazo hupima jinsi kiwango kikubwa cha kizuizi kisichoonekana kinachopaswa kufanya kazi kabla ya kuweza kubatilisha hitimisho la kisababishi lililotokana na data za uchunguzi. Iliandikwa kwa muundo na vipimo vya hisia vya Paul Rosenbaum (2002) na kupanuliwa na E-value ya VanderWeele na Ding (2017).
Soma mbinu kamili
Ingia kwa akaunti ya bure ili kusoma sehemu hii.
Method map
The neighbourhood of related methods — select a node to explore.
Vyanzo
- Rosenbaum, P. R. (2002). Observational Studies (2nd ed.). Springer. ISBN: 978-0387989679
- VanderWeele, T. J. & Ding, P. (2017). Sensitivity Analysis in Observational Research: Introducing the E-Value. Annals of Internal Medicine, 167(4), 268-274. DOI: 10.7326/M16-2607 ↗
Jinsi ya kunukuu ukurasa huu
ScholarGate. (2026, June 1). Sensitivity Analysis for Hidden Bias in Observational Studies (Rosenbaum Bounds / E-value). ScholarGate. https://scholargate.app/sw/causal-inference/sensitivity-analysis-observational
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.
- Urekebishaji wa mlango-mbele (Kigezo cha mlango-mbele)Uhitimisho wa Kisababishi↔ compare
- Athari Wastani ya Matibabu ya Mahali (LATE / CACE)Uhitimisho wa Kisababishi↔ compare
- Vipimo vya Placebo kwa Uthibiti wa KausalUhitimisho wa Kisababishi↔ compare
- Ulinganishaji wa Alama ya MwelekeoTakwimu za Utafiti↔ compare
- Two-Stage Least Squares (2SLS)Uhitimisho wa Kisababishi↔ compare
Imerejelewa na
Umeona tatizo kwenye ukurasa huu? Ripoti au pendekeza marekebisho →