Findings from University of Michigan Yields New Data on Statistics (Testing Attributable Effects Hypotheses With an Application To the Oregon Health Insurance Experiment?): Mathematics – Statistics

2023 JUN 13 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News -- Fresh data on Mathematics - Statistics are presented in a new report. According to news reporting originating from Ann Arbor, Michigan, by NewsRx correspondents, research stated, “Following a randomized trial, the sum of the differences in the outcomes for the treated units compared to the outcome that would have been observed if the same units had been as-signed to the control condition is known as the attributable effect. Most previous methods on testing hypotheses about the attributable effect require the outcome to be binary or ordinal.”

Financial support for this research came from National Science Foundation (NSF).

Our news editors obtained a quote from the research from the University of Michigan, “In this paper, we use a simple approximation to the distribution of a carefully selected test statistic under the hypothesis that the attributable effect is zero to expand at-tributable effects inference for count and continuous data. The method is efficient and performs well in a variety of sim-ulations.”

According to the news editors, the research concluded: “We demonstrate the method using a large medical insurance field experiment.”

This research has been peer-reviewed.

For more information on this research see: Testing Attributable Effects Hypotheses With an Application To the Oregon Health Insurance Experiment? Statistics and Its Interface, 2023;16(3):349-361. Statistics and Its Interface can be contacted at: Int Press Boston, Inc, PO Box 43502, Somerville, MA 02143, USA.

The news editors report that additional information may be obtained by contacting Mark Fredrickson, University of Michigan, Dept. of Statistics, 323 West Hall, 1085 S Univ Ave, Ann Arbor, MI 48109, United States.

The direct object identifier (DOI) for that additional information is: https://doi.org/10.4310/22-sii724. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.

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