2015
Markov counting models for correlated binary responses
Crawford FW, Zelterman D. Markov counting models for correlated binary responses. Biostatistics 2015, 16: 427-440. PMID: 25792624, PMCID: PMC5963474, DOI: 10.1093/biostatistics/kxv006.Peer-Reviewed Original ResearchConceptsExchangeable Bernoulli random variablesBernoulli random variablesCorrelated binary responsesMaximum likelihood estimatesInterpretable parameterizationsRandom variablesLikelihood estimatesCounting processDifferent cluster sizesBinary responsesCorrelated outcomesNatural wayCluster sizeBinary dataImproved fitPrevious modelsNew model
2012
Unifying the spatial epidemiology and molecular evolution of emerging epidemics
Pybus OG, Suchard MA, Lemey P, Bernardin FJ, Rambaut A, Crawford FW, Gray RR, Arinaminpathy N, Stramer SL, Busch MP, Delwart EL. Unifying the spatial epidemiology and molecular evolution of emerging epidemics. Proceedings Of The National Academy Of Sciences Of The United States Of America 2012, 109: 15066-15071. PMID: 22927414, PMCID: PMC3443149, DOI: 10.1073/pnas.1206598109.Peer-Reviewed Original ResearchConceptsRobust nonparametric statisticsPathogen genome sequencesBasic reproductive numberMolecular evolutionWest Nile virusNatural populationsPhylogenetic historySpatial variablesLong-range movementsGenome sequenceSpatial invasionSpatial ecologyGenetic dataNile virusReproductive numberDispersalNonparametric statisticsSpatial epidemiologySpatial dynamicsNorth AmericaPrevious modelsSpatial parametersPhylogeneticsSpatial autocorrelationEcology