2007/06/14 by M O Karlsson, Mats O. Karlsson, R M Savic +1 · 537 citations
Engineering · Mathematics · Medicine · Pharmacology, Toxicology and Pharmaceutics · #Clinical Laboratory Practices and Quality Control #Clinical pharmacology #Computer science #Engineering #Intensive care medicine #Management science #Medical physics #Medicine #Pharmacogenetics and Drug Metabolism #Pharmacology #Risk analysis (engineering) #Statistical Methods in Clinical Trials
paper · doi:10.1038/sj.clpt.6100241
published in Clinical Pharmacology & Therapeutics 82(1), 17-20 (Wiley)
openalex publication_date 2007/06/14 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/29
Conclusions from clinical trial results that are derived from model-based analyses rely on the model adequately describing the underlying system. The traditionally used diagnostics intended to provide information about model adequacy have seldom discussed shortcomings. Without an understanding of the properties of these diagnostics, development and use of new diagnostics, and additional information pertaining to the diagnostics, there is risk that adequate models will be rejected and inadequate models accepted. Thus, a diagnosis of available diagnostics is desirable.