Including uncertainty of the expected mortality rates in the prediction of loss in life expectancy
Yuliya Leontyeva, Mats Lambe, Hannah Bower, Paul C. Lambert, Therese M.-L. Andersson · 2023
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Description
Yuliya Leontyeva and co-authors fix a statistical blind spot in cancer survival reporting, in a 2023 study. Two summary measures, life expectancy after diagnosis and years of life lost, need death rates from the general public. When full population tables are missing, studies use a sample instead, but then treat its rates as exact. That hides real uncertainty, above all for older patients.
Their method folds the sample's uncertainty into the error bars. Flexible survival models were fit to both patients and a random public sample, using colon and breast cancer in Sweden as the test case. The wider, honest intervals came out with standard software. Stata code is shared for reuse.
Catalog record
| CREATOR | Yuliya Leontyeva, Mats Lambe, Hannah Bower, Paul C. Lambert, Therese M.-L. Andersson |
|---|---|
| YEAR | 2023 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 82 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |