STATISTICAL ANALYSIS PLAN
We will design an appropriate plan for data collection and analysis tailored to meet the specific needs of your study. Our custom-designed statistical analysis plans allow for complete assurance of data integrity, accuracy and completeness.
SAMPLE SIZE
Sample size calculation is one of the first steps in designing a clinical study. The main purpose of the sample size calculation is to determine the enough number of units needed to detect the unknown clinical parameters or the treatment effects or the association after data collection.
TESTS OF ASSOCIATION
The Pearson’s chi-square test is used to determine if there is a significant association between two categorical variables. The Fisher’s exact test is used when the sample size is small and the expected frequencies in some of the cells are less than five. To analyze numeric outcomes for independent and paired data, we apply parametric and nonparametric testing methodologies.
REGRESSION ANALYSIS
Linear regression is used to predict a continuous outcome variable, while logistic regression is used to predict a binary outcome variable. Linear regression assumes that the relationship between the independent and dependent variables is linear, while logistic regression does not assume any particular form of the relationship.
