Which type of regression technique is appropriate to use whe

Which type of regression technique is appropriate to use when the outcome variable is dichotomous? Linear regression Cox proportional hazards Poisson regression Logistic regression Which type of regression model is most appropriate to use with a person-time outcome variable? Linear regression Cox proportional hazards Poisson regression Logistic regression When assessing a statistical association between an exposure and disease, what can multiple regression help control for? Chance Bias Confounding All of the above What type of study design did James Lind employ? Ecologic Cross-sectional Case-control Cohort Experimental Match the descriptions of antibody production in the left column with the terms in the right column. ____Transfer of antibodies to one person produced by another person Active immunity ____ Body produces its own antibodies against an invading substance Passive immunity ____ A substance that prompts the generation of antibodies and can cause an immune response Antigen Match the types of data in the left column with the types of graph in the right column. ____ Bar chart Nominal ____ Spot map Continuous ____ Area map ____ Histogram Match the following as (A) a descriptive or (B) at analytic epidemiologic study. ____ Who ____ Why ____ How ____ What ____ When ____ Where

Solution

1. Logistic regression is a powerful statistical way of modelling a binomial outcome (takes the value 0 and 1 like having and not having a disease) with one or more explanatory variables. So, the correct answer is option D.

2. Poisson regression helps in the calculaton of rates based on accumulating person-time and events, stratified by many factors. So, the correct answer is option C.