2020
Using sigLASSO to optimize cancer mutation signatures jointly with sampling likelihood
Li S, Crawford FW, Gerstein MB. Using sigLASSO to optimize cancer mutation signatures jointly with sampling likelihood. Nature Communications 2020, 11: 3575. PMID: 32681003, PMCID: PMC7368050, DOI: 10.1038/s41467-020-17388-x.Peer-Reviewed Original Research
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