For each question below, provide a brief (1-2 sentences) responses. a) How is th

Question

For each question below, provide a brief (1-2 sentences) responses.

a) How is the slope coefficient (b1) in a simple linear regression different than the coefficient (b1) in a multiple linear regression model?

b) When would a survival analysis model be used instead of a logistic regression model?

c) What is the appropriate statistical test to assess whether there is an association between obesity status (normal weight, overweight, obese) and 5-year incident cardiovascular disease (CVD)? Suppose each participant's obesity status (category) is known as is whether they develop CVD over the next 5 years or not.

Explanation / Answer

A) Consider when all other variables are constant, the slope coefficient is the rate of change of dependent variables.

  . b1(regression slope) is the rate of change of dependent variable relative to the independent variables.

B) Survival analysis model would be used instead of a logistic regression model if we have to consider time factor as well as the dependent variable i.e. for time to event analysis.

C) Log-Rank test will be appropriate to assess whether there is an association between obesity status (normal weight, overweight, obese) and 5-year incident cardiovascular disease (CVD). As this problem is a time to event analysis.

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