Table 4 above is displaying odds ratios for each predictor estimated by a multivariablelogistic regression model with all 6 predictors included at the same time. Based onthis model, what is the minimum number of in-hospital deaths they should have intheir dataset?A) 30B) 50C) 60D) 70 Table 4. Multivariable Logistic Regression for Predictorsof In-Hospital Death Among Those Receiving SurgeryaTime from initial hospital admissionto surgery, hAge per 10 yPresenting hypotension, shock,or tamponadePrior cardiac surgeryOdds ratio (95% CI)0.96 (0.94-0.99)1.51 (1.22-1.87)2.58 (1.53-4.35)2.80 (1.31-5.99)3.09 (1.83-5.23)1.05 (1.02-1.08)Preoperative malperfusionBody mass indexa C statistic: 0.787; Hosmer-Lemeshow P = .39.P value.02<.001<.001.008<.001.002

Table 4 presents odds ratios (95% CI) and p-values for predictors of in-hospital death from a…

Table 4 above is displaying odds ratios for each predictor estimated by a multivariablelogistic regression model with all 6 predictors included at the same time. Based onthis model, what is the minimum number of in-hospital deaths they should have intheir dataset? A) 30 B) 50 C) 60 D) 70

Table 4 above is displaying odds ratios for each predictor estimated by a multivariablelogistic regression model with all 6 predictors included at the same time. Based onthis model, what is the minimum number of in-hospital deaths they should have intheir dataset? A) 30 B) 50 C) 60 D) 70

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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