Linear mixed-effects models for central statistical monitoring of multicenter clinical trials

Author:

Desmet L.1,Venet D.2,Doffagne E.3,Timmermans C.3,Burzykowski T.34,Legrand C.1,Buyse M.45

Affiliation:

1. Institut de Statistique, Biostatistique et Sciences Actuarielles (ISBA); Université catholique de Louvain; Louvain-la-Neuve Belgium

2. Institut de Recherches Interdisciplinaires et de Développements en Intelligence Artificielle (IRIDIA); Université Libre de Bruxelles; Brussels Belgium

3. International Drug Development Institute (IDDI) S.A.; Louvain-la-Neuve Belgium

4. Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BioStat); Hasselt University; Diepenbeek Belgium

5. International Drug Development Institute (IDDI) Inc.; San Francisco CA U.S.A.

Funder

Federaal Wetenschapsbeleid

Région Wallonne

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Reference10 articles.

1. Sensible approaches for reducing clinical trial costs;Eisenstein;Clinical Trials,2008

2. The role of biostatistics in the prevention, detection and treatment of fraud in clinical trials;Buyse;Statistics in Medicine,1999

3. Guidance for industry: oversight of clinical investigations - a risk-based approach to monitoring : Silver Spring, MD 2014

4. Reflection paper on risk based quality management in clinical trials. EMA/INS/GCP/394194/2011 European Medicines Agency London, UK 2011

5. A statistical approach to central monitoring of data quality in clinical trials;Venet;Clinical Trials,2012

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