Length of Stay Analysis of COVID-19 Intensive Care Unit Admissions Using Count Regression and Hurdle Regression Models: A Study in a Tertiary Hospital, Cape Town, South Africa
How to cite: Savieri, P.; Nyamandi, C.; Sigwadhi, L. N.; Tamuzi, J.; Allwood, B.; Koegelenberg, C. F.; Irusen, E. M.; Lalla, U.; Ngah, V. D.; Zemlin, A. E.; Chapanduka, Z. C.; Erasmus, R. T.; Matsha, T. E.; Daramola, J. O.; Zumla, A.; Nyasulu, P. S. Length of Stay Analysis of COVID-19 Intensive Care Unit Admissions Using Count Regression and Hurdle Regression Models: A Study in a Tertiary Hospital, Cape Town, South Africa. Preprints 2024, 2024030973. https://doi.org/10.20944/preprints202403.0973.v1 Savieri, P.; Nyamandi, C.; Sigwadhi, L. N.; Tamuzi, J.; Allwood, B.; Koegelenberg, C. F.; Irusen, E. M.; Lalla, U.; Ngah, V. D.; Zemlin, A. E.; Chapanduka, Z. C.; Erasmus, R. T.; Matsha, T. E.; Daramola, J. O.; Zumla, A.; Nyasulu, P. S. Length of Stay Analysis of COVID-19 Intensive Care Unit Admissions Using Count Regression and Hurdle Regression Models: A Study in a Tertiary Hospital, Cape Town, South Africa. Preprints 2024, 2024030973. https://doi.org/10.20944/preprints202403.0973.v1
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