On the quick estimation of probability of recovery from COVID-19 during first wave of epidemic in India : a logistic regression approach
Year of publication: |
2022
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Authors: | Joshi, Hemlata ; Azarudheen, S. ; Nagaraja, M. S. ; Singh, Chandraketu |
Published in: |
Statistics in transition : an international journal of the Polish Statistical Association. - Warszawa : GUS, ISSN 2450-0291, ZDB-ID 2235641-1. - Vol. 23.2022, 2, p. 197-208
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Subject: | COVID-19 | epidemic | coronavirus disease | recovery estimation | logisticregression | logit analysis | Coronavirus | Epidemie | Epidemic | Indien | India | Schätztheorie | Estimation theory | Regressionsanalyse | Regression analysis | Logit-Modell | Logit model | Wirkungsanalyse | Impact assessment | Sterblichkeit | Mortality |
Type of publication: | Article |
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Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
Language: | English |
Other identifiers: | 10.2478/stattrans-2022-0024 [DOI] hdl:10419/266315 [Handle] |
Source: | ECONIS - Online Catalogue of the ZBW |
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