title: [Missing data in clinical trials. Problem of structure similarity of study population and control groups].
abstract: Missing data in a clinical trial may produce a change in the stratification of a controlled group. The method of statistical analysis employed should thus be designed for incomplete data to avoid false conclusions. This approach is illustrated in a realistic clinical example using cross-sectional and longitudinal data.
authors.affiliation: Akademie für zahnärztliche Fortbildung Karsruhe.
authors.forename: W
authors.initials: W
authors.lastname: Walther
authors.forename: H
authors.initials: H
authors.lastname: Toutenburg
mesh_terms: D016009:Chi-Square Distribution; D002986:Clinical Trials as Topic / Q000592:standards*; D003430:Cross-Sectional Studies; D003442:Crowns; D003625:Data Collection; D006801:Humans; D008137:Longitudinal Studies; D011475:Prosthesis Failure
vernacular_title: Datenverlust bei klinischen Studien. Das Problem der Strukturgleichheit von Studienpopulation und kontrollierter Gruppe.