2010
The Impact of Environmental and Genetic Factors on Neonatal Late-Onset Sepsis
Bizzarro MJ, Jiang Y, Hussain N, Gruen JR, Bhandari V, Zhang H. The Impact of Environmental and Genetic Factors on Neonatal Late-Onset Sepsis. The Journal Of Pediatrics 2010, 158: 234-238.e1. PMID: 20850766, PMCID: PMC3008342, DOI: 10.1016/j.jpeds.2010.07.060.Peer-Reviewed Original ResearchMeSH KeywordsAge of OnsetBirth WeightBlood-Borne PathogensCohort StudiesConfidence IntervalsCross InfectionEnvironmental ExposureFemaleGenetic Predisposition to DiseaseHospital MortalityHumansInfant, NewbornIntensive Care Units, NeonatalLogistic ModelsMalePrognosisRetrospective StudiesSepsisSurvival RateTime FactorsTwinsTwins, DizygoticTwins, MonozygoticConceptsLate-onset sepsisNewborn intensive care unitIntensive care unitCare unitBirth weightIntensive care unit populationNeonatal late-onset sepsisRetrospective cohort analysisTotal parenteral nutritionRespiratory distress syndromeGenetic factorsLogistic regression analysisMixed-effects logistic regressionNongenetic factorsMixed-effects logistic regression analysisSignificant genetic susceptibilityDistress syndromeParenteral nutritionGestational ageCohort analysisSepsisUnit populationConcordance rateGenetic susceptibilityLogistic regression
2009
The Genetic Susceptibility to Respiratory Distress Syndrome
Levit O, Jiang Y, Bizzarro MJ, Hussain N, Buhimschi CS, Gruen JR, Zhang H, Bhandari V. The Genetic Susceptibility to Respiratory Distress Syndrome. Pediatric Research 2009, 66: 693-697. PMID: 19687775, PMCID: PMC2796284, DOI: 10.1203/pdr.0b013e3181bbce86.Peer-Reviewed Original ResearchAnalysis of Twin Data Using SAS
Feng R, Zhou G, Zhang M, Zhang H. Analysis of Twin Data Using SAS. Biometrics 2009, 65: 584-589. PMID: 18647295, PMCID: PMC2700843, DOI: 10.1111/j.1541-0420.2008.01098.x.Peer-Reviewed Original Research