Kappa coefficient
Kappa coefficient
Epidemiología
Epidemiología
Disease causality
Positive and negative predictive value
Sensitivity and specificity
Kappa coefficient
Incidence and prevalence
Odds ratio
Relative and absolute risk
Attributable risk (AR)
Study designs
Case-control study
Cohort study
Clinical trials
Randomized control trial
Selection bias
Information bias
Confounding
Interaction
Test precision and accuracy
Introduction to biostatistics
Types of data
Mean, median, and mode
Range, variance, and standard deviation
Probability
Prevention
Normal distribution and z-scores
Standard error of the mean (Central limit theorem)
Hypothesis testing: One-tailed and two-tailed tests
Type I and type II errors
Chi-squared test
Fisher's exact test
Paired t-test
Two-sample t-test
One-way ANOVA
Two-way ANOVA
Repeated measures ANOVA
Correlation
Methods of regression analysis
Linear regression
Logistic regression
Kaplan-Meier survival analysis
Mann-Whitney U test
Spearman's rank correlation coefficient
Sample size
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.