Incidence and remission of endometriosis in Germany based on prevalence data from 35 million patients from the statutory health insurance

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AI-generated deep summary by claude@2026-06, 2026-06-24 · read from full text

The paper uses German statutory health insurance data covering about 35 million patients to estimate the incidence and remission of endometriosis, with the analysis carried out in R. The authors describe developing R code to generate plots and perform bootstrapping for their project. A key limitation is that the work is based on prevalence-derived inference rather than direct longitudinal follow-up, and the document provided emphasizes code and analytic tooling over detailed clinical outcomes. This paper is centrally about endometriosis — it estimates incidence and remission of endometriosis in Germany using large-scale insurance prevalence data.

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Abstract

The existing R codes were developed to generate clear plots and perform bootstrapping for our project.
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Published January 22, 2025 | Version v1 Plot Open Incidence and remission of endometriosis in Germany based on prevalence data from 35 million patients from the statutory health insurance Authors/Creators Description The existing R codes were developed to generate clear plots and perform bootstrapping for our project. Files Files (22.6 kB) | Name | Size | Download all | |---|---|---| | md5:a4f49cc47f8e62c5652db92c51c39562 | 5.6 kB | Download | | md5:52c96156dfd253f1a964eccfff286275 | 17.1 kB | Download | Additional details Software - Programming language - R

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endometriosis

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last seen: 2026-05-10T11:25:41.010703+00:00
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