Losses, Splits, Sampling and Gradients. Does IPCW Simply Work for any Machine Learning Algorithm?

Introduction: In 2016 the central German organ transplantation registry (TxReg) was established [ref:1] to enhance research in organ transplantation. Despite its potential, the data is rarely used for analyses. One possible reason for its limited use could be data quality issues [ref:2]. [for full text, please go to the a.m. URL]

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Publication Details

Journal
German Medical Science (German Research Foundation)
Published
2025-11-03
DOI
https://doi.org/10.3205/25gmds071
Primary Topic
Renal Transplantation Outcomes and Treatments
Type
article
Field-Weighted Citation Impact
0.00
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article

Losses, Splits, Sampling and Gradients. Does IPCW Simply Work for any Machine Learning Algorithm?

German Medical Science (German Research Foundation)
Renal Transplantation Outcomes and Treatments
article

Losses, Splits, Sampling and Gradients. Does IPCW Simply Work for any Machine Learning Algorithm?

article en

Abstract

Introduction: In 2016 the central German organ transplantation registry (TxReg) was established [ref:1] to enhance research in organ transplantation. Despite its potential, the data is rarely used for analyses. One possible reason for its limited use could be data quality issues [ref:2]. [for full text, please go to the a.m. URL]

German Medical Science (German Research Foundation)
Darmstadt University of Applied Sciences (DE)
Openalex Percentile: Top 31%
Renal Transplantation Outcomes and Treatments
DOIOpen Access PDFOpenAlex
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Losses, Splits, Sampling and Gradients. Does IPCW Simply Work for any Machine Learning Algorithm? · German Medical Science (German Research Foundation) (2025) | TGRS Research Map | TGRS