Competing risks survival data under middle censoring—An application to COVID-19 pandemic-Reference-Cited by-同舟云学术

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Competing risks survival data under middle censoring—An application to COVID-19 pandemic

Published:2021-11 Issue: Volume:1 Page:100006
ISSN:2772-4425
Container-title:Healthcare Analytics
language:en
Short-container-title:Healthcare Analytics

Author:

Rehman H.^ORCID,Chandra N.^ORCID,Jammalamadaka S. Rao

Publisher

Elsevier BV

Reference27 articles.

1. Perceptions of Romanian physicians on lockdowns for COVID-19 prevention;Dima,2021

2. The impact of COVID-19 on globalization;Shrestha;One Health,2020

3. Impact of COVID-19 pandemic on health system & sustainable development goal 3;Khetrapal;Indian J. Med. Res.,2020

4. The impact of the COVID-19 pandemic on noncommunicable disease resources and services: results of a rapid assessment;Organization,2020

5. Nonparametric estimation for middle-censored data;Jammalamadaka;J. Nonparametr. Stat.,2003

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The stratified K-folds cross-validation and class-balancing methods with high-performance ensemble classifiers for breast cancer classification;Healthcare Analytics;2023-12

2. Adjusting expected deaths for mortality displacement during the COVID-19 pandemic: a model based counterfactual approach at the level of individuals;BMC Medical Research Methodology;2023-10-18

3. Adjusting Expected Deaths for Mortality Displacement During the COVID-19 Pandemic: A Model Based Counterfactual Approach at the Level of Individuals;SSRN Electronic Journal;2022

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