Explore chapters and articles related to this topic
Contingency Tables
Published in Marcello Pagano, Kimberlee Gauvreau, Heather Mattie, Principles of Biostatistics, 2022
Marcello Pagano, Kimberlee Gauvreau, Heather Mattie
The concordant pairs – or the pairs of responses in which either two diabetics or two nondiabetics are matched – provide no information for testing a null hypothesis about differences in diabetic status. Therefore, we discard these data and focus only on the discordant pairs, or the pairs of responses in which a person who has diabetes is paired with an individual who does not.
Does my model predict accurately?
Published in Thomas A. Gerds, Michael W. Kattan, Medical Risk Prediction, 2021
Thomas A. Gerds, Michael W. Kattan
To compute the AUC for your model, the computer first constructs all possible pairs of subjects in the test dataset. The computer next excludes pairs where both subjects have the same outcome. Now the predicted risks are used to group the remaining pairs into concordant, discordant and tied predictions. A concordant pair means that the patient who has the event had the higher predicted risk. A discordant pair means that the patient who has the event has the lower predicted risk. Tied pairs indicate that both patients have exactly the same predicted risks. Finally, the AUC is calculated as the number of concordant pairs plus half of the tied pairs divided by the total number of pairs. For further illustration see Table 5.5.
The Genetics of Alzheimer Disease:
Published in Robert E. Becker, Ezio Giacobini, Alzheimer Disease, 2020
Interpretation of AD twin data is complicated by several factors. As in twin studies of any illness, an ascertainment bias exists for selection of concordant pairs for study. This favors estimation of greater concordance than is actually present. Particularly in older studies, inaccuracy in establishing zygosity (whether twins are MZ or DZ) may have compromised valid conclusions.
Fidelity of a Traffic Safety Education Intervention for Combat Veterans
Published in Occupational Therapy In Health Care, 2021
Sandra M. Winter, Katelyn R. Caldwell, Babette A. Brumback, Mary E. Jeghers, Sherrilene Classen
Via bootstrapping, the resulting agreement from the concordant pairs analysis was p̂ = .99 for feasibility (bootstrap sampling distribution ranging from .97 to 1.00) and p̂ = .96 for parity (bootstrap sampling distribution ranging from .87 to 1.00). Because the lower limit of each sampling distribution is within acceptable limits of concordance, it can be concluded that the research team reached consensus, based on greater than 87% agreement for both feasibility and parity (Graham et al., 2012).
Migrant GPs and patients: a cross-sectional study of practice characteristics, patient experiences and migration concordance
Published in Scandinavian Journal of Primary Health Care, 2022
Peter P. Groenewegen, Peter Spreeuwenberg, A. Niroshan Siriwardena, Coral Sirdifield, Sara Willems
Our measurement of concordance was migration background concordance in a broad sense. We did not know the country of origin of both GP and patient (but if we did, the problem of the number of concordant pairs would be bigger). Also, we only explored concordance in one dimension instead of multiple dimensions [28].