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
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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

Transcribed Image Text:Table 4. Multivariable Logistic Regression for Predictors
of In-Hospital Death Among Those Receiving Surgerya
Time from initial hospital admission
to surgery, h
Age per 10 y
Presenting hypotension, shock,
or tamponade
Prior cardiac surgery
Odds 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 malperfusion
Body mass index
a C statistic: 0.787; Hosmer-Lemeshow P = .39.
P value
.02
<.001
<.001
.008
<.001
.002
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