2023
ORTH.Ord: An R package for analyzing correlated ordinal outcomes using alternating logistic regressions with orthogonalized residuals
Meng C, Ryan M, Rathouz P, Turner E, Preisser J, Li F. ORTH.Ord: An R package for analyzing correlated ordinal outcomes using alternating logistic regressions with orthogonalized residuals. Computer Methods And Programs In Biomedicine 2023, 237: 107567. PMID: 37207384, DOI: 10.1016/j.cmpb.2023.107567.Peer-Reviewed Original ResearchConceptsOrdinal outcomesSandwich estimatorR packageSimulation studyCorrelated ordinal dataFinite sample biasesNumber of clustersCovariance estimationMarginal modelsEquationsParameter estimatesOrdinal responsesAssociation parametersCluster associationsBias correctionOrdinal dataEstimatorEstimating EquationsNominal levelMarginal meansResidualsEstimationPairwise odds ratiosAssociation modelGEE model
2022
Enhancing cosinor analysis of circadian phase markers using the gamma distribution
Doyle MM, Murphy TE, Miner B, Pisani MA, Lusczek ER, Knauert MP. Enhancing cosinor analysis of circadian phase markers using the gamma distribution. Sleep Medicine 2022, 92: 1-3. PMID: 35306404, PMCID: PMC9356385, DOI: 10.1016/j.sleep.2022.01.015.Peer-Reviewed Original Research
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