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Consider an experiment in which a subject can take two states, denoted here as 0 and 1, under two treatments. We can think of the states as 'normal' or 'abnormal'. A categorical shift occurs when observations shift from one state to another between the two treaments. To test the existance of this shift, we use McNemar's Test.

Let \(x_ij\) be the binary response of the \(i^{th}\) subject in the \(j^{th}\) treatment. Define two quantities:

\[ p_{01} = P(x_{i1} = 0, x_{i2} = 1) \]and

\[ p_{10} = P(x_{i1} = 1, x_{i2} = 0) \]McNemar's test tests the hypothesis that \(p_{01} = p_{10}\).

To input multiple values, seperate them by a comma.

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- Solve For
- The unknown you are interested in solving for.
- N
- The sample size used to test the hypothesis.
- Alpha
- The \(\alpha\) (Type I error rate) level of the hypothesis test.
- Power
- The power (1 - Type II error rate) of the hypothesis test.
- \(p_{01}\)
- The estimated value of the \(p_{01}\) defined above.
- \(p_{10}\)
- The estimated value of the \(p_{01}\) defined above.

No calculation has been generated yet.

N | Alpha | Power | \(p_{01}\) | \(p_{10}\) |
---|---|---|---|---|

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- Chow, S., Shao, J., & Wang, H. (2003),
*Sample size calculations in clinical research,*New York: Marcel Dekker.