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The table summarizes the variables collected in a study of ICU outcomes. The primary outcome (target) variable is vital status at hospital discharge (STA). Clinicians associated with the study indicate a belief that a key predictor of survival was the patient (AGE). Describe and analyze the parameters of a logistic regression model by completing the following: Explain which characteristic of the STA leads to a consideration of a logistic model as opposed to a linear regression mode. Describe a Python program that can perform the logistic regression model equation of STA on AGE. Describe a Python program of the logit transformation of this logistic regression model.

The table summarizes the variables collected in a study of ICU outcomes. The primary outcome (target) variable is vital status at hospital discharge (STA). Clinicians associated with the study indicate a belief that a key predictor of survival was the patient (AGE). Describe and analyze the parameters of a logistic regression model by completing the following: Explain which characteristic of the STA leads to a consideration of a logistic model as opposed to a linear regression mode. Describe a Python program that can perform the logistic regression model equation of STA on AGE. Describe a Python program of the logit transformation of this logistic regression model.

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The table summarizes the variables collected in a study of ICU outcomes. The primary outcome (target) variable is vital status at hospital discharge (STA). Clinicians associated with the study indicate a belief that a key predictor of survival was the patient (AGE).

Describe and analyze the parameters of a logistic regression model by completing the following:

Explain which characteristic of the STA leads to a consideration of a logistic model as opposed to a linear regression mode.

  1. Describe a Python program that can perform the logistic regression model equation of STA on AGE.
  2. Describe a Python program of the logit transformation of this logistic regression model.
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