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Difference in differences analysis evaluates the effects of the badger control policy on bovine tuberculosis in

Colin P D Birch1, Mayur Bakrania2, Alison Prosser2

  • 1Animal and Plant Health Agency, Woodham Lane, Addlestone, Surrey, KT15 3NB, UK. colin.birch@apha.gov.uk.

Scientific Reports
|February 28, 2024
PubMed

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Multiple comparison test, abbreviated as MCT, is a post hoc analysis generally performed after comparing multiple samples with one or more tests. An MCT will help identify a significantly different sample among multiple samples or a factor among multiple factors.
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Bonferroni Test

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Comparing Experimental Results: Student's t-Test

The t-test is a statistical method used to compare the sample mean with a population mean or compare two means from two data sets. The test statistic is calculated from the standard deviation, mean, and number of measurements in the data set at a selected confidence interval and then compared to a table of critical values at this confidence level. If the test statistic is smaller than the critical value, the null hypothesis is accepted. In this case, we state that the difference between the...
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Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

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Bioequivalence Data: Statistical Interpretation

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The Behrens-Fisher test is a statistical method designed to address the Behrens-Fisher problem, which arises when comparing the means of two normally distributed populations with unequal variances. Unlike the Student's t-test, which assumes equal variances, the Behrens-Fisher test allows for mean comparison without this restrictive assumption. This flexibility makes it particularly valuable in scenarios where two independent samples exhibit normality but lack variance homogeneity.
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