[
Arbel R., Wolff S.Y., Hoshen M., Battat E., Lavie G., Sergienko R., Friger M., Waxman J.G., Dagan N., Balicer R., Ben-Shlomo Y., Peretz A., Yaron S., Serby D., Hammerman A., Netzer D. (2022): Nirmatrelvir Use and Severe Covid-19 Outcomes during the Omicron Surge. New England Journal of Medicine 387(9): 790–798.
]Search in Google Scholar
[
Agresti A. (2002): Categorical data analysis (2nd ed.). Hoboken, NJ: Wiley.
]Search in Google Scholar
[
Bardia A., Sood A., Mahmood F., Orhurhu V., Mueller A., Montealegre-Gallegos M., et al. (2016): Combined Epidural-General Anesthesia vs General Anesthesia Alone for Elective Abdominal Aortic Aneurysm Repair. JAMA Surgery 151(12): 1116–1123.
]Search in Google Scholar
[
Barlesi F., Mazieres J., Merlio J.P., Debieuvre D., Mosser J., Lena H., et al. (2016): Routine molecular profiling of patients with advanced non-small-cell lung cancer: results of a 1-year nationwide programme of the French Cooperative Thoracic Intergroup (IFCT). Lancet 387: 1415–1426.
]Search in Google Scholar
[
Brooks G.A., Kansagra A.J., Rao S.R., Weitzman J.I., Linden E.A., Jacobson J.O. (2015): A Clinical Prediction Model to Assess Risk for Chemotherapy-Related Hospitalization in Patients Initiating Palliative Chemotherapy. JAMA Oncology 1(4): 441–447
]Search in Google Scholar
[
Colangeli R., Jedrey H., Kim S., Connell R., Ma S., Chippada U.D., Chakravorty S., et al. (2018): Bacterial Factors That Predict Relapse after Tuberculosis Therapy. New England Journal of Medicine. 379(9): 823–833.
]Search in Google Scholar
[
Cox D.R. (1972): Regression models and life-tables (with discussion). Journal of the Royal Statistical Society, B. 34: 187–220.
]Search in Google Scholar
[
Cronin P.R., DeCoste L., Kimball A.B. (2013): A Multivariate Analysis of Dermatology Missed Appointment Predictors. JAMA Dermatology 149(12): 1435–1437.
]Search in Google Scholar
[
Durrett R. (2019): Probability: Theory and Examples (5th ed). New York, Cambridge University Press.
]Search in Google Scholar
[
Feller W. (1966): An Introduction to Probability Theory and Its Applications (Volume II). New York, Wiley.
]Search in Google Scholar
[
Feng C., Wang H., Lu N., Tu X.M. (2013a): Log transformation: application and interpretation in biomedical research. Statist. Med. 32: 230–239.
]Search in Google Scholar
[
Feng C., Wang H., Lu N., Chen T., He H., Lu Y., Tu X.M. (2014): Log-transformation and its implications for data analysis. Shanghai Arch Psychiatry 26(2): 105–9. 0829.2014.02.009. Erratum in: Gen Psychiatr, 2019 Sep 6, 32(5): e100146corr1.
]Search in Google Scholar
[
Feng C., Wang H., Tu X.M. (2013b): Geometric Mean of Nonnegative Random Variable. Communication in Statistics - Theory and Methods 42(15): 2714–2717.
]Search in Google Scholar
[
Feng C., Wang H., Zhang Y., Han Y., Liang Y., Tu X.M. (2017): Generalized definition of the geometric mean of a nonnegative random variable. Communications in Statistics - Theory and Methods 46(7): 3614–3620.
]Search in Google Scholar
[
Fivez T., Kerklaan D., Mesotten D., Verbruggen S., Wouters P.J., Vanhorebeek I., et al. (2016): Early versus Late Parenteral Nutrition in Critically Ill Children. New England Journal of Medicine 374(12): 1111–1122.
]Search in Google Scholar
[
Geng E., Kreiswirth B., Burzynski J., Schluger N.W. (2005): Clinical and radiographic correlates of primary and reactivation tuberculosis: a molecular epidemiology study. JAMA 293(22): 2740–2745.
]Search in Google Scholar
[
Hastie T., Tibshirani R., Friedman J.H. (2009): The elements of statistical learning: data mining, inference, and prediction (2nd ed.). New York, Springer.
]Search in Google Scholar
[
Hole J.irsch M., Ball E., Meads C. (2015): Music as an aid for postoperative recovery in adults: a systematic review and meta-analysis. Lancet 386: 1659–1671.
]Search in Google Scholar
[
International CLL-IPI working group (2016): An international prognostic index for patients with chronic lymphocytic leukaemia (CLL-IPI): a meta-analysis of individual patient data. Lancet Oncology 17(6): 779–790.
]Search in Google Scholar
[
Kopycka-Kedzierawski D.T., Scott-Anne K., Ragusa P.G., et al. (2022): Social, Psychological, and Behavioral Predictors of Salivary Bacteria, Yeast in Caries-Free Children. JDR Clinical & Translational Research 7(2): 163–173.
]Search in Google Scholar
[
Leon M.B., Smith C.R., Mack M.J., Makkar R.R., et al. (2016): Transcatheter or Surgical Aortic-Valve Replacement in Intermediate-Risk Patients. New England Journal of Medicine 374(17): 1609–1620.
]Search in Google Scholar
[
Li Y., Stocchi L., Cherla D., Liu X., Remzi F.H. (2016): Association of Preoperative Narcotic Use with Postoperative Complications and Prolonged Length of Hospital Stay in Patients with Crohn Disease. JAMA Surgery 151(8): 726–734.
]Search in Google Scholar
[
Lorant V., Deliege D., Eaton W., Robert A., Philippot P., Ansseau M. (2003): Socioeconomic Inequalities in Depression: A Meta-Analysis. American Journal of Epidemiology 157(2): 98–112.
]Search in Google Scholar
[
McIntyre L.K., Arbabi S., Robinson E.F., Maier R.V. (2016): Analysis of Risk Factors for Patient Readmission 30 Days Following Discharge From General Surgery. JAMA Surgery 151(9): 855–861.
]Search in Google Scholar
[
Mingrone G., Panunzi S., De Gaetano A., Guidone C., Iaconelli A., Nanni G., et al. (2015): Bariatric-metabolic surgery versus conventional medical treatment in obese patients with type 2 diabetes: 5 year follow-up of an open-label, single-centre, randomized controlled trial. Lancet 386: 964–973.
]Search in Google Scholar
[
Nelson K.B., Ellenberg J.H. (1985): Antecedents of Cerebral Palsy: I. Univariate Analysis of Risks. American Journal of Diseases of Children 139(10): 1031–1038.
]Search in Google Scholar
[
Nelson K.B., Ellenberg J.H. (1986): Antecedents of cerebral palsy: Multivariate Analysis of Risk. New England Journal of Medicine 315(2): 81–86.
]Search in Google Scholar
[
NICE-SUGAR Study Investigators (2012): Hypoglycemia and risk of death in critically ill patients. New England Journal of Medicine 367(12): 1108–1118.
]Search in Google Scholar
[
Pages F., Berger A., Camus M., Sanchez-Cabo F., Costes A., Molidor R., et al. (2005): Effector memory T cells, early metastasis, and survival in colorectal cancer. New England Journal of Medicine 353(25): 2654–2666.
]Search in Google Scholar
[
Royden H.L. Fitzpatrick P.M. (2018). Real Analysis (4th ed). New York: Pearson.
]Search in Google Scholar
[
Schwed A.C., Boggs M.M., Pham X.D., Watanabe D.M., et al. (2016): Association of Admission Laboratory Values and the Timing of Endoscopic Retrograde Cholangiopancreatography with Clinical Outcomes in Acute Cholangitis. JAMA Surgery 151(11): 1039–1045.
]Search in Google Scholar
[
Seber, G.A.F., Lee, A.J. (2003): Linear regression analysis (2nd ed.). Hoboken, NJ: Wiley.
]Search in Google Scholar
[
Shao, J. (2003): Mathematical Statistics (2nd ed). New York: Springer.
]Search in Google Scholar
[
Templin C., Ghadri J.R., Diekmann J., Napp L.C., Bataiosu D.R., Jaguszewski M., et al. (2015): Clinical Features and Outcomes of Takotsubo (Stress) Cardiomyopathy. New England Journal of Medicine 373(10): 929–938.
]Search in Google Scholar
[
van der Meer A.J., Veldt B.J., Feld J.J., et al. (2012): Association between sustained virological response and all-cause mortality among patients with chronic hepatitis C and advanced hepatic fibrosis. JAMA 308(24): 2584–2593.
]Search in Google Scholar
[
Vogel, R.M. (2020): The geometric mean? Communications in Statistics - Theory and Methods 82–94.
]Search in Google Scholar
[
Wang H., Peng J., Wang B., Lu X., Zheng J.,Z., Wang K., Tu X.M., Feng C. (2017): Inconsistency Between Univariate and Multiple Logistic Regressions. Shanghai Arch Psychiatry 29(2): 124–128.
]Search in Google Scholar
[
Wood G.C., Benotti P.N., Lee C.J., Mirshahi T., Still C.D., Gerhard G.S., Lent M.R. (2016): Evaluation of the Association Between Preoperative Clinical Factors and Long-term Weight Loss After Roux-en-Y Gastric Bypass. JAMA Surgery 151(11): 1056–1062.
]Search in Google Scholar
