1. Doocy S, Bollemeijer I, Leidman E, Sebushishe A, Mbong EN, Page K. Clinical progression and outcomes of patients hospitalized with COVID-19 in humanitarian settings: A prospective cohort study in South Sudan and Eastern Democratic Republic of Congo. PLOS Glob Public Health. 2022;2(10):e0000924.
2. Sepandi M, Alimohamadi Y, Esmaeilzadeh F. Estimate of the basic reproduction number for delta variant of SARS-CoV-2: A systematic review and meta-analysis. J Biostat Epidemiol. 2022;8(1):1-7.
3. Bhandari S, Tak A, Singhal S, Shukla J, Shaktawat AS, Gupta J, et al. Patient flow hynamics in hospital systems during times of COVID-19: Cox proportional hazard regression analysis. Front Public Health. 2020;8:585850.
4. Liu X, Zhang L, Sun L, Liu R. Survival analysis of the duration of rumors during the COVID-19 pandemic. BMC Public Health. 2024;24(1):519.
5. Das D, Saikia H, Bora D, Bhattacharjee D, Das J. A survival analysis approach for identifying the risk factors in time to recovery of COVID-19 patients using Cox proportional hazard model. Decis Anal J. 2022;5:100137.
6. Geng J, Haq S, Abbas J, Ye H, Shahbaz P, Abbas A, et al. Survival in pandemic times: Managing energy efficiency, food diversity, and sustainable practices of nutrient intake amid COVID-19 crisis. Front Environ Sci. 2022;10:1–16.
7. Abbas J. Crisis management, global healthcare challenges and opportunities: The intersection of the COVID-19 pandemic and global mental health. Res Glob. 2021;3:100037.
8. Persson I. Essays on the assumption of proportional hazards in Cox regression. Sweden: Uppsala Uviversity Library; 2002.
9. Kvamme H, Borgan Ø, Scheel I. Time-to-event prediction with neural networks and Cox regression. J Mach Learn Res. 2019;20(129):1–30.
10. Jullum M, Hjort NL. What price semiparametric Cox regression? Lifetime Data Anal. 2019;25(3):406–38.
11. Cox DR. Partial likelihood. Biometrika. 1975;62(2):269–76.
12. Hu C, Lin DY. Cox regression with covariate measurement error. Scand J State. 2002;29(4):637-55.
13. Anderson RN, Rosenberg HM. Age standardization of death rates: Implementation of the year 2000 standard. Natl Vital Stat Rep. 1998;47(3):1-16.
14. Kurd DM, nahal AS, Noori-zadeh A, Sheikhabbasi A, Heydari F, Pakzad I, et al. Association of statin therapy on clinical outcomes in Covid-19 patients: An updated systematic review and meta-analysis on all related evidences. J Biostat Epidemiol. 2022;8(4):407-34.
15. Van Dijk PC, Jager KJ, Zwinderman AH, Zoccali C, Dekker FW. The analysis of survival data in nephrology: Basic concepts and methods of Cox regression. Kidney Int. 2008;74(6):705–9.
16. Benítez-Parejo N, del Águila MM, Pérez-Vicente S. Survival analysis and Cox regression. Allergol Immunopathol. 2011;39(6):362–73.
17. Faraggi D, Simon R. Bayesian variable selection method for censored survival data. Biometrics. 1998;54(4):1475–85.
18. Wang C, Pan R, Wan X, Tan Y, Xu L, Ho CS, et al. Immediate psychological responses and associated factors during the initial stage of the 2019 coronavirus disease (COVID-19) epidemic among the general population in China. Int J Environ Res Public Health. 2020;17(5):1729.
19. Hoffmann M, Kleine-Weber H, Schroeder S, Krüger N, Herrler T, Erichsen S, et al. SARS-CoV-2 cell entry depends on ACE2 and TMPRSS2 and is blocked by a clinically proven protease inhibitor. Cell. 2020;181(2):271-80.
20. Pascarella G, Strumia A, Piliego C, Bruno F, Del Buono R, Costa F, et al. COVID-19 diagnosis and management: A comprehensive review. J Intern Med. 2020;288(2):192-206.
21. Shereen MA, Khan S, Kazmi A, Bashir N, Siddique R. COVID-19 infection: Origin, transmission, and characteristics of human coronaviruses. J Adv Res. 2020;24:91-8.
22. Zhou F, Yu T, Du R, Fan G, Liu Y, Liu Z, et al. Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: A retrospective cohort study. Lancet. 2020;395(10229):1054–62.
23. Atlam M, Torkey H, El-Fishawy N, Salem H. Coronavirus disease 2019 (COVID-19): Survival analysis using deep learning and Cox regression model. Pattern Anal Appl. 2021;24(3):993–1005.
24. Gaskin DJ, Zare H, Delarmente BA. Geographic disparities in COVID-19 infections and deaths: The role of transportation. Transp Policy. 2021;102:35-46.
25. Ghadamgahi F, Tapak L, Bashirian S, Amiri R, Roshanaei G. The effect of underlying diabetes disease on clinical outcome and survival in patients with Covid-19: A propensity score matching study. J Diabetes Metab Disord. 2021;20(2):1675-83.
26. Fung KW, Baik SH, Baye F, Zheng Z, Huser V, McDonald CJ. Effect of common maintenance drugs on the risk and severity of COVID-19 in elderly patients. PLoS One. 2022;17(4):e0266922.
27. Huang H, Chen J, Fang S, Chen X, Pan X, Lei H, et al. Association between previous stroke and severe COVID-19: A retrospective cohort study and an overall review of meta-analysis. Front Neurol. 2022;13:922936.
28. Seif M, Sharafi M, Ghaem H, Kasraei F. Factors associated with survival of Iranian patients with COVID-19: Comparison of Cox regression and mixture cure model. Trop Dis Travel Med Vaccines. 2022;8(1):4.
29. Wastnedge EA, Reynolds RM, van Boeckel SR, Stock SJ, Denison FC, Maybin JA, et al. Pregnancy and COVID-19. Physiol Rev. 2021;101(1):303-18.
30. Domjanović J, Domjanović Škopinić T, Matetic A. Association of different risk scores and 30-day mortality in kidney transplant recipients with COVID-19. Medicina. 2023;59(4):657.
31. Hastie CE, Foster HM, Jani BD, O’Donnell CA, Ho FK, Pell JP, et al. Chronic pain and COVID-19 hospitalisation and mortality: A UK Biobank cohort study. Pain. 2023;164(1):84-90.
32. Kojima K, Yoon H, Okishio K, Tsuyuguchi K. Increased lactate dehydrogenase reflects the progression of COVID-19 pneumonia on chest computed tomography and predicts subsequent severe disease. Sci Rep. 2023;13(1):1012.
33. Lund LC, Støvring H, Pottegård A, Andersen M, Hallas J. Cox regression using a calendar time scale was unbiased in simulations of COVID-19 vaccine effectiveness & safety. J Clin Epidemiol. 2023;156:127-36.
34. Bitew ZW, Ayele EG, Worku T, Alebel A, Alemu A, Worku F, et al. Determinants of mortality among under-five children admitted with severe acute malnutrition in Addis Ababa, Ethiopia. Nutr J. 2021;20(1):1-5.
35. Schoenfeld D. Partial residuals for the proportional hazards regression model. Biometrika. 1982;69(1):239–41.
36. Park S, Hendry DJ. Reassessing Schoenfeld residual tests of proportional hazards in political science event history analyses. Am J Pol Sci. 2015;59(4):1072-87.
37. Box-Steffensmeier JM, Jones BS. Event history modeling: A guide for social scientists. Cambridge University Press; 2004.
38. Ozenne B, Sørensen AL, Scheike T, Torp-Pedersen C, Gerds TA. riskRegression: Predicting the risk of an event using Cox regression models. R J. 2017;9(2):440–60.
39. Grønnesby JK, Borgan Ø. A method for checking regression models in survival analysis based on the risk score. Lifetime Data Anal. 1996;2(4):315-28.
40. Li H, Luan Y. Kernel Cox regression models for linking gene expression profiles to censored survival data. Pac Symp Biocomput. 2003;76:65–76.
41. Sargent DJ. A flexible approach to time-varying coefficients in the Cox regression setting. Lifetime Data Anal. 1997;3:13-25.
42. Gui J, Li H. Penalized Cox regression analysis in the high-dimensional and low-sample size settings, with applications to microarray gene expression data. Bioinformatics. 2005;21(13):3001–8.