Порівняння методів

	Прагматичний клінічний випробування Фази II	Адаптивний клінічний випробування Фази II
Галузь	Епідеміологія	Епідеміологія
Родина	Process / pipeline	Process / pipeline
Рік появи	Pragmatic framework: 1967; Phase II application: 1990s–2000s	1994 (formal framework); widespread adoption 2000s–2010s
Автор методу	Conceptual basis: Daniel Schwartz & Joseph Lellouch (pragmatic vs. explanatory distinction, 1967); applied to Phase II context by drug developers and trialists from the 1990s onward	Peter Bauer & Klaus Kohne (formal statistical framework, 1994); broader adaptive trial methodology developed through FDA and ICH guidance in the 2000s
Тип	Interventional study design	Experimental clinical trial design
Основоположне джерело	Schwartz, D., & Lellouch, J. (1967). Explanatory and pragmatic attitudes in therapeutical trials. Journal of Chronic Diseases, 20(8), 637–648.	Bauer, P., & Kohne, K. (1994). Evaluation of experiments with adaptive interim analyses. Biometrics, 50(4), 1029–1041.
Інші назви	pragmatic Phase II trial, real-world Phase II trial, Phase II pragmatic RCT, Phase IIb pragmatic trial	Adaptive Ph II trial, seamless adaptive Phase II, adaptive dose-finding trial, response-adaptive Phase II
Пов'язані	6	1
Підсумок	A pragmatic Phase II clinical trial is an early-to-mid-stage interventional study that evaluates a new treatment's preliminary efficacy and safety under conditions that approximate real-world clinical practice rather than tightly controlled experimental settings. It sits between pure explanatory Phase II trials and large pragmatic Phase III confirmatory trials, prioritising practical feasibility and clinical relevance while still generating the signal needed to justify further development.	An adaptive Phase II clinical trial is a prospective experimental design in which pre-specified rules allow the study protocol to be modified — such as dropping arms, adjusting sample size, or narrowing the patient population — based on accumulating interim data, without inflating the Type I error rate. The design is widely used in early-phase drug development to screen candidate doses or treatments efficiently while preserving statistical validity.