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.
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| http://dx.doi.org/10.4103/picr.picr_38_24 | DOI Listing |
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Radon Exposure and Gestational Diabetes.
JAMA Netw Open
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Design, Setting, And Participants: This multicenter, population-based cohort study used data from the Nulliparous Pregnancy Outcomes Study: Monitoring Mothers-to-Be (nuMoM2b) cohort, which recruited nulliparous pregnant participants from 8 US clinical centers between October 2010 and September 2013.
Transforming Non-Digital, Clinical Workflows to Detect and Track Vision-Threatening Diabetic Retinopathy via a Digital Platform Integrating Artificial Intelligence: Implementation Research.
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International Health Policy Program (IHPP), Ministry of Public Health, Nonthaburi, Thailand.
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J Patient Rep Outcomes
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View Article and Find Full Text PDFA Tutorial on Indicating Responses and Their Importance in Mand Training.
Behav Anal Pract
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Simmons University, Boston, MA USA.
Unlabelled: One of the most critical intervention strategies when working with individuals with significant language delays associated with autism spectrum disorder and related developmental delays is teaching mands. For mand training to be effective, an establishing operation (EO) must be in effect, yet EOs are often difficult to observe. Before learning to mand, an individual may point to or approach a reinforcer, which likely indicates an EO related to that reinforcer, and may be considered an indicating response (IR).
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