Predicting Difference in Mean Survival Time from Reported Hazard Ratios for Cancer Patients.

Eeva-Liisa Røssell JohansenMette Lise LousdalMette Vinther SkriverMichael VæthIvar Sønbø KristiansenHenrik Støvring

Published in: Medical decision making : an international journal of the Society for Medical Decision Making (2019)

For cancer diagnoses with poor prognosis, differences in mean survival times could be predicted from corresponding hazard ratios. This hazard ratio-based approach outperforms or is similar to fitting Weibull models to data with incomplete follow-up, while making fewer assumptions.

Keyphrases

poor prognosis
long non coding rna
papillary thyroid
free survival
big data
squamous cell
machine learning
artificial intelligence
deep learning