Handling missing data in research

Autor: Priya Ranganathan, Sally Hunsberger
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Perspectives in Clinical Research, Vol 15, Iss 2, Pp 99-101 (2024)
Druh dokumentu: article
ISSN: 2229-3485
2229-5488
DOI: 10.4103/picr.picr_38_24
Popis: Missing data are an inevitable part of research and lead to a decrease in the size of the analyzable population, and biased and imprecise estimates. In this article, we discuss the types of missing data, methods to handle missing data and suggest ways in which missing data can be minimized.
Databáze: Directory of Open Access Journals