A research group is interested in the association between vitamin E supplementation and a decreased risk for osteoporosis in a group of elderly women. The team randomly samples a group of women potentially enrolled in the study after a strict set of inclusion criteria have been met, and pairs each woman receiving the supplementation with two women receiving a placebo based on a number of characteristics such as BMI, education, and socio-economic status. The data compiled after 10 years of follow up were analyzed using conditional logistic regression. Which of the following methods to reduce confounding was not employed in the ab
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
A research group is interested in the association between vitamin E supplementation and a decreased risk for osteoporosis in a group of elderly women. The team randomly samples a group of women potentially enrolled in the study after a strict set of inclusion criteria have been met, and pairs each woman receiving the supplementation with two women receiving a placebo based on a number of characteristics such as BMI, education, and socio-economic status. The data compiled after 10 years of follow up were analyzed using conditional logistic regression. Which of the following methods to reduce confounding was not employed in the above scenario?
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Stratification
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Regression
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Restriction
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