Salīdzināt metodes

	Adaptīvā klīnisko pētījumu dizains	Jaudas analīze	Randomizēts kontrolēts pētījums (RCT)
Nozare	Eksperimentu plānošana	Statistika	Eksperimentu plānošana
Saime	Hypothesis test	Hypothesis test	Hypothesis test
Izcelsmes gads	1994	1969 (1st ed.); 1988 (seminal 2nd ed.)	1948
Autors	Bauer & Köhne	Jacob Cohen	James Lind (early precursor, 1747); modern formulation: Austin Bradford Hill & Medical Research Council (1948)
Tips	Adaptive hypothesis test with interim analyses	Sample size and power planning	Interventional comparative study
Pirmavots	Bauer, P. & Köhne, K. (1994). Evaluation of Experiments with Adaptive Interim Analyses. Biometrics, 50(4), 1029–1041.	Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Lawrence Erlbaum Associates. ISBN: 978-0805802832	Schulz, K.F., Altman, D.G., Moher, D., for the CONSORT Group (2010). CONSORT 2010 Statement: Updated Guidelines for Reporting Parallel Group Randomised Trials. BMJ, 340, c332.
Citi nosaukumi	adaptive design, group sequential design, sample size re-estimation, platform trial	sample size calculation, power calculation, sensitivity analysis, a priori power analysis	RCT, randomised controlled trial, clinical trial, Randomize Kontrollü Çalışma (RCT) Tasarımı
Saistītās	3	5	7
Kopsavilkums	Adaptive clinical trial design is a flexible experimental framework, formalised by Bauer and Köhne in 1994, in which pre-specified rules allow the trial to be modified mid-course — adjusting sample size, treatment arms, or randomisation ratios — based on accumulating interim data while rigorously controlling the Type I error rate.	Power analysis is a planning and evaluation technique that quantifies the probability of detecting a real effect of a given magnitude at a chosen significance level. It links four quantities — sample size, effect size, significance level (alpha), and statistical power (1 minus beta) — so that researchers can determine the sample size needed before data collection or evaluate the sensitivity of a completed study.	A randomized controlled trial (RCT) is the gold standard experimental design in clinical and health research, in which participants are randomly allocated to a treatment group or a control group so that the effect of an intervention can be measured with the highest possible degree of internal validity. The modern parallel-group RCT was formalized by Austin Bradford Hill and the Medical Research Council in their landmark streptomycin trial of 1948, and its reporting is governed today by the CONSORT 2010 guidelines (Schulz et al., 2010).