Sample Size Estimation Functions for Studies of Interobserver Agreement
Confidence Interval Approach for the Number of Subjects Required for a...
Confidence Interval Approach for the Number of Subjects Required for a...
Confidence Interval Approach for the Number of Subjects Required for a...
Confidence Interval Approach for the Number of Subjects Required for a...
Calculation of the Lowest Expected Value, kappaL for a fixed sample si...
Calculation of the Lowest Expected Value, kappaL, for a fixed sample s...
Calculation of the Lowest Expected Value, kappaL, for a fixed sample s...
Calculation of the Lowest Expected Value, kappaL, for a fixed sample s...
Power-Based Approach for the Number of Subjects Required for a Study o...
Power-Based Approach for the Number of Subjects Required for a Study o...
Power-Based Approach for the Number of Subjects Required for a Study o...
Power-Based Approach for the Number of Subjects Required for a Study o...
Contains basic tools for sample size estimation in studies of interobserver/interrater agreement (reliability). Includes functions for both the power-based and confidence interval-based methods, with binary or multinomial outcomes and two through six raters.