Handling missing data in research-Reference-Cited by-同舟云学术

Handling missing data in research

Published:2024-04 Issue:2 Volume:15 Page:99-101
ISSN:2229-3485
Container-title:Perspectives in Clinical Research
language:en
Short-container-title:

Author:

Ranganathan Priya¹,Hunsberger Sally²

Affiliation:

1. Department of Anaesthesiology, Tata Memorial Centre, Homi Bhabha National Institute, Mumbai, Maharashtra, India

2. Mathematical Statistician, Biostatistics Research Branch, National Institute of Allergy and Infectious Diseases, Bethesda, Maryland, United States

Abstract

Abstract 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.

Publisher

Medknow

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