# What is multivariate analysis and logistic regression?

In a population based study we compare socio-demographic variables with certain outcomes, e.g. nutritional or micronutrients deficiency. How to apply logistic regression or risk ratio to calculate the risk of having a certain outcome, compared with a socio-demographic variable? What are the requirements for a multivariate analysis test? Is it different from logistic regression? How do we set the regression equation, and how to do the actual test, for multivariate analysis.

## All Answers (9)

Mijail Rojas· University of Costa RicaMohammad Tahir· Sugar Crops Research Institute MardanAshwini Kumar Nepal· VU University Medical CenterMohammad Tahir· Sugar Crops Research Institute MardanNicolas Smoll· University of MelbourneGenerally, your study should have a single independant variable of interest, a series of potential confounders, and the dependant variable. As long as you don't have any imbalance in the independant variable across a range of potential confounders, technically, you do not need a multivariate analysis. This is why high quality RCT's do not use multivariate analysis, because the randomization process ensures balance across a range of confounders.

Sandro Sperandei· Fundação Oswaldo CruzI know that it could sound prepotent from me, but if you put your data in a software and press "run", it will give you a result, but it could be completely wrong...

Ashwini Kumar Nepal· VU University Medical CenterGianfranco Damiani· Catholic University of the Sacred Heartcareful representation in a biomedical research study.

Ibrahim G Alghamdi· University of Lincolnhttp://www.alghamdi-biostatistics.com/logisticregression.htm

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