Approximate reciprocal relationship between two cause-specific hazard ratios in COVID-19 data with mutually exclusive events
type: Item
instance of: scholarly article
title: Approximate reciprocal relationship between two cause-specific hazard ratios in COVID-19 data with mutually exclusive events
author: Wentian Li
author: Sirin Cetin
author: Ayse Ulgen
author: Meryem Cetin
author: Hakan Sivgin
author: Yaning Yang
published in: The International Journal of Biostatistics
publication date: 2024-08-21T00:00:00Z
Mathematics Subject Classification ID: 62P10
zbMATH DE Number: 7899287
zbMATH Keywords: cause-specific hazard ratio
zbMATH Keywords: COVID-19
zbMATH Keywords: mutually exclusive events
zbMATH Keywords: time to hospital release
MaRDI profile type: Publication
cites work: Q4741623
cites work: Proportional hazards tests and diagnostics based on weighted residuals
cites work: Moving to a World Beyond “p < 0.05”
cites work: A Proportional Hazards Model for the Subdistribution of a Competing Risk
cites work: On the relation between the cause‐specific hazard and the subdistribution rate for competing risks data: The Fine–Gray model revisited
cites work: Fine-gray subdistribution hazard models to simultaneously estimate the absolute risk of different event types: cumulative total failure probability may exceed 1
DOI: 10.1515/IJB-2022-0083
description: scientific article; zbMATH DE number 7899287