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Nathaniel Schenker

Researcher at Centers for Disease Control and Prevention

Publications -  61
Citations -  7172

Nathaniel Schenker is an academic researcher from Centers for Disease Control and Prevention. The author has contributed to research in topics: Imputation (statistics) & Missing data. The author has an hindex of 26, co-authored 61 publications receiving 6570 citations. Previous affiliations of Nathaniel Schenker include University of California, Los Angeles & National Center for Health Statistics.

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Multiple imputation in health-care databases: an overview and some applications.

TL;DR: This paper provides an overview of methods for creating and analysing multiply-imputed data sets, and illustrates the dramatic improvements possible when using multiple rather than single imputation.
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On Judging the Significance of Differences by Examining the Overlap Between Confidence Intervals

TL;DR: In this article, the authors compare this technique to the standard method of testing significance under the common assumptions of consistency, normality, and asymptotic independence of the estimates.
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Overlapping confidence intervals or standard error intervals: what do they mean in terms of statistical significance?

TL;DR: The procedure of checking for overlap between confidence intervals or standard error intervals to draw conclusions regarding hypotheses about differences between population parameters is investigated and recommendations for their use in situations in which standard tests of hypotheses do not exist are made.
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Multiple Imputation for Interval Estimation from Simple Random Samples with Ignorable Nonresponse

TL;DR: In this paper, several multiple imputation techniques for simple random samples with ignorable nonresponse on a scalar outcome variable are compared using both analytic and Monte Carlo results concerning coverages of the resulting intervals for the population mean.