Data missing: how to solve and how to escape the problem

Autor: Galina P. Tikhova
Rok vydání: 2016
Zdroj: Regional Anesthesia and Acute Pain Management. 10:205-209
ISSN: 1993-6508
DOI: 10.18821/1993-6508-2016-10-3-205-209
Popis: The article is devoted to the problem of missing data in clinical trials and clinical studies. The author considered three mechanisms of generating of missing data in collected sample. Each mechanism type is reviewed in details in terms of its effects on sample representativeness and the magnitude of result bias. The ways to reduce probability and amount of missing data are pointed in the phase of planning and on the stage of statistical data processing and inference.
Databáze: OpenAIRE