Which of the following is not a requirement for consideration before continuing with the calculation of a sample size in an observational study observing the difference in incidence of disease X based on exposure? Projected drop-out rate to inflate the sample size estimate based on the projected loss to follow-up in a study A predetermined power for the study to detect a difference when one actually exists The correlation coefficient between the two groups being compared. The informed estimation of the incidence in both groups being compared
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.
Which of the following is not a requirement for consideration before continuing with the calculation of a
-
Projected drop-out rate to inflate the sample size estimate based on the projected loss to follow-up in a study
-
A predetermined power for the study to detect a difference when one actually exists
-
The
correlation coefficient between the two groups being compared. -
The informed estimation of the incidence in both groups being compared
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