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This calculator is for 2x2 contingency tables that separate each subject into one of four categories based on two factors, each with two possibilities. Simply label the rows and columns, then type in the counts for each cell to test the relationship between the two factors.
Learn how to interpret 2 x 2 tables, compare and contrast cohort, randomized controlled trials, case-control, and cross-sectional studies, and calculate relative and absolute measures of association. This chapter covers the basics of epidemiologic study design and data analysis for beginners.
Enter the cell frequencies for a 2x2 table and get various measures of association, such as odds ratio, phi coefficient, chi-square, and Fisher exact probability. See the logic and computational details of the tests and confidence intervals.
Calculate Phi coefficient, chi-square test and Fisher exact probability test for a 2x2 table of frequency data. Enter the cell frequencies and click the Calculate button to see the results and explanations.
A 2 x 2 table (or two-by-two table) is a compact summary of data for 2 variables from a study—namely, the exposure and the health outcome. Say we do a 10-person study on smoking and hypertension , and collect the following data, where Y indicates yes and N indicates no:
A contingency table displays frequencies for combinations of two categorical variables. Analysts also refer to contingency tables as crosstabulation and two-way tables. Contingency tables classify outcomes for one variable in rows and the other in columns.
The 2x2 table allow you to perform mathematical analysis to determine helpful clinical decision making factors including: Experimental Event Rate EER = a/(a+b) Control Event Rate CER = c/(c+d)