Question: When doing estimated probability, do you always exponentiate the value you get at the end? Table 1: Logistic Regression Results for Predictors of ICU Mortality

When doing estimated probability, do you always exponentiate the value you get at the end?

When doing estimated probability, do you always exponentiate the value you get

Table 1: Logistic Regression Results for Predictors of ICU Mortality Regression Coefficents (SE) Predictor Unadjusted howAdjusted Infection No ref ref Yes 0.92 (0.36) 0.68 (0.38) CPR Performed No ref ref Yes 1.70 (0.60) 1.62 (0.62) Age Quartile P=0.04 p=0.14 = 72 years 1.58 (0.61) 1.47 (0.64) Race White ref ref Non-white -0.68 (0.64) (13 016-0.39 (0.67) Intercept -2.76 - Based on the multiple logistic regression results, what is the estimated probability of death in the ICU for 75 year old White patients received CPR and had an infection at the time of ICU admission? - 2.76 + 1.47 + 1+ 1.62 + 0.68 = a. 0.63 exp ( 1.01 ) - 2745 b. 0.73 p = odds / 2.745 " / 1 todas 3. 745 - c. 0.059 d. Logistic regression can only be used to estimate odds and odds ratios

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