[Modern study designs and analysis methods in clinical research]. / Moderne Studiendesigns und Analysemethoden in der klinischen Forschung.
Z Rheumatol
; 74(2): 106-12, 2015 Mar.
Article
em De
| MEDLINE
| ID: mdl-25805512
ABSTRACT
BACKGROUND:
Progress in the field of medical research requires further development of clinical trial methodology to overcome the challenges resulting from small patient populations and restricted resources.METHODS:
Classical single-stage designs with fixed sample sizes do not allow for interim analyses or design modifications. In contrast, adaptive designs adhere to established quality criteria while providing flexibility when conducting a clinical trial. In the face of new discoveries or information collected in the course of a trial, sample size adjustment, the selection of the target population and further design modifications can be performed. This enhances the chance of success of a clinical trial. Besides adaptive designs, classical approaches may be replaced or complemented by Bayesian methods. In a Bayesian approach prior knowledge can be efficiently included and hence the amount of information utilized in statistical analyses is increased. Furthermore, Bayes procedures allow the results of a statistical evaluation to be displayed very clearly.CONCLUSION:
Modern approaches, such as adaptive designs and Bayesian designs overcome the challenges in clinical research due to enhanced flexibility and efficiency. In addition, both approaches can be combined.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Reumatologia
/
Doenças Reumáticas
/
Ensaios Clínicos como Assunto
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Interpretação Estatística de Dados
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Teorema de Bayes
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Avaliação de Resultados em Cuidados de Saúde
Tipo de estudo:
Clinical_trials
/
Prognostic_studies
Limite:
Humans
Idioma:
De
Ano de publicação:
2015
Tipo de documento:
Article