Select all of the responses which are correct Which of the following is/are true

Question

Select all of the responses which are correct

Which of the following is/are true regarding logistic regression?

a. This technique is most often used to analyze data from large, prospective cohort studies.

b. Interpretation of the results for a variable included in a multivariate logistic regression model should always include the direction of the association, whether or not it is statically significant, and a statement that this is the observed relationship after controlling for the other factors in the model.

c. If the R2 value for a multivariate logistic regression model is 0.24, p = 0.001, we can accept the alternate hypothesis that that the set of independent variables included in the model explains more than 0% of the variance in the dependent variable.

d. Logistic regression would be ideal for analysis of a clinical trial of a new drug compared with a placebo that enrolls subjects over a two-year period and continues until 4444 outcome events have been accumulated.

Explanation / Answer

a. This technique is most often used to analyze data from large, prospective cohort studies.

Not necessarily , this can be done for any scenario where the outcome is measured in the form of yes/no, true false , present/absent etc

b. Interpretation of the results for a variable included in a multivariate logistic regression model should always include the direction of the association, whether or not it is statically significant, and a statement that this is the observed relationship after controlling for the other factors in the model.

Yes , this tells us how each independent variable increases or decreases the odds of the outcome under question, If the direction of association is negative then it means the independent variable decreases the odds of the outcome , if the coefficient is positive then we conclude that the variable increases the odds of the outcome

c. If the R2 value for a multivariate logistic regression model is 0.24, p = 0.001, we can accept the alternate hypothesis that that the set of independent variables included in the model explains more than 0% of the variance in the dependent variable.

No , for logistic regression we do not measure R2 , we measure Null deviance as the measure of goodness of fit

d. Logistic regression would be ideal for analysis of a clinical trial of a new drug compared with a placebo that enrolls subjects over a two-year period and continues until 4444 outcome events have been accumulated.

yes this is true because wse can have the repsonce in the form of effective and not-effective and can build a logistic regression model to determine the needed probabilities

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