Kappa coefficient

Kappa coefficient

Biostatistics

Introduction to biostatistics

Introduction to biostatistics
Probability
Types of data

Non-parametric tests

Chi-squared test
Fisher's exact test
Kaplan-Meier survival analysis
Kappa coefficient
Mann-Whitney U test
Spearman's rank correlation coefficient

Outcomes of statistical hypothesis testing

Type I and type II errors

Parametric tests

Correlation
Hypothesis testing: One-tailed and two-tailed tests
Linear regression
Logistic regression
Methods of regression analysis
One-way ANOVA
Paired t-test
Repeated measures ANOVA
Two-sample t-test
Two-way ANOVA

Statistical probability distributions

Mean, median, and mode
Normal distribution and z-scores
Range, variance, and standard deviation
Standard error of the mean (Central limit theorem)

Flashcards

Kappa coefficient

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Key Takeaways

The Kappa coefficient can be thought of as a way of quantifying the amount of disagreement between raters. It takes into account both chance agreement (agreement that would be expected by chance alone) and real agreement (agreement that is not due to chance alone). The coefficient is equal to one if the raters are in agreement, and less than or equal to zero if there is no agreement.