Krahasoni metodat

	Studimi Adashëz i Rast-Kontroll brenda Koinhës	Studim Kohorte Adaptiv
Fusha	Epidemiologji	Epidemiologji
Familja	Process / pipeline	Process / pipeline
Viti i origjinës	Base design 1977; adaptive extensions from 1990s onward	2000s–2010s (systematic formalisation)
Krijuesi	Nested case-control: D. C. Thomas (1977); adaptive design framework: Peter Bauer & Klaus Kohne (1994)	Extension of classic cohort methods; adaptive design principles formalised by regulatory and epidemiology communities in the 2000s–2010s
Lloji	Observational epidemiological study with adaptive design elements	Observational / adaptive epidemiological design
Burimi themelues	Thomas, D. C. (1977). Addendum to: Methods of cohort analysis: Appraisal by application to asbestos mining. Journal of the Royal Statistical Society, Series A, 140(4), 469–491.	VanderWeele, T. J., & Hernan, M. A. (2012). Results on differential and dependent measurement error of the exposure and the outcome using signed directed acyclic graphs. American Journal of Epidemiology, 175(12), 1303–1310.
Emërtime të tjera	adaptive NCC, adaptive nested case-referent study, dynamic nested case-control, sequential nested case-control	adaptive longitudinal study, flexible cohort design, adaptive prospective cohort, ACS
Të lidhura	6	4
Përmbledhja	An adaptive nested case-control study embeds a case-control comparison within a defined cohort and incorporates pre-specified interim decision rules that allow modifications — such as control-to-case ratio adjustment or biomarker sub-sampling revision — based on accumulating data, without compromising the study's validity or inflating type I error. The design combines the efficiency of the nested case-control framework with the flexibility of adaptive methodology to optimise resource use when exposure assessment is costly.	An adaptive cohort study is a longitudinal observational design that follows a defined group of individuals over time to assess exposure-outcome relationships, while incorporating pre-specified adaptation rules that allow protocol modifications — such as sample-size re-estimation, subgroup enrichment, or measurement schedule adjustments — based on accumulating interim data. Adaptations are made without compromising validity, guided by a statistical analysis plan agreed upon before data collection begins.