Decision trees for identifying predictors of treatment effectiveness in clinical trials and its application to ovulation in a study of women with polycystic ovary syndrome
Zhang H, Legro RS, Zhang J, Zhang L, Chen X, Huang H, Casson PR, Schlaff WD, Diamond MP, Krawetz SA, Coutifaris C, Brzyski RG, Christman GM, Santoro N, Eisenberg E. Decision trees for identifying predictors of treatment effectiveness in clinical trials and its application to ovulation in a study of women with polycystic ovary syndrome. Human Reproduction 2010, 25: 2612-2621. PMID: 20716558, PMCID: PMC2939757, DOI: 10.1093/humrep/deq210.Peer-Reviewed Original ResearchMeSH KeywordsAge FactorsAndrogensAnovulationBody Mass IndexClomipheneDecision TreesDrug Therapy, CombinationFemaleFertility Agents, FemaleHumansInfertility, FemaleMetforminOrgan SizeOvulation InductionPolycystic Ovary SyndromePregnancyProinsulinRandomized Controlled Trials as TopicSex Hormone-Binding GlobulinTreatment OutcomeWaist-Hip RatioConceptsPolycystic ovary syndromeCombination of CCClomiphene citrateClinical trialsOvarian volumeOvary syndromeOvulation inductionHigher sex hormone-binding globulin levelsSex hormone-binding globulin levelsHormone-binding globulin levelsTreatment effectivenessHigher baseline insulinHip circumference ratioIncidence of ovulationBaseline physical characteristicsBaseline laboratoryOvulatory rateClinical parametersHigher waistBaseline variablesPredictive biomarkersGlobulin levelsCircumference ratioOvulatory responseTreatment outcomes