2021
Lessons Learned From COVID-19 Contact Tracing During a Public Health Emergency: A Prospective Implementation Study
Shelby T, Schenck C, Weeks B, Goodwin J, Hennein R, Zhou X, Spiegelman D, Grau LE, Niccolai L, Bond M, Davis JL. Lessons Learned From COVID-19 Contact Tracing During a Public Health Emergency: A Prospective Implementation Study. Frontiers In Public Health 2021, 9: 721952. PMID: 34490198, PMCID: PMC8417826, DOI: 10.3389/fpubh.2021.721952.Peer-Reviewed Original ResearchConceptsProspective implementation studyOutreach callsContact tracingAge-related disparitiesPublic health nursesRE-AIM implementation frameworkMultivariable regression modelsTimeliness of caseImplementation studyPublic health responsePublic health emergencyMedian timeHealth nursesAfrican American casesHealth responseInfectious diseasesFuture epidemicsDays of exposureHealth emergencyCOVID-19System-level predictorsRegression modelsCOVID-19 Contact TracingDaysPredictors
2020
Coaching Intensity, Adherence to Essential Birth Practices, and Health Outcomes in the BetterBirth Trial in Utter Pradesh, India
Barnhart DA, Spiegelman D, Zigler CM, Kara N, Delaney MM, Kalita T, Maji P, Hirschhorn LR, Semrau KEA. Coaching Intensity, Adherence to Essential Birth Practices, and Health Outcomes in the BetterBirth Trial in Utter Pradesh, India. Global Health Science And Practice 2020, 8: ghsp-d-19-00317. PMID: 32127359, PMCID: PMC7108945, DOI: 10.9745/ghsp-d-19-00317.Peer-Reviewed Original ResearchConceptsEssential birth practicesSafe Childbirth ChecklistPerinatal health outcomesBirth attendantsHealth outcomesBetterBirth trialWorld Health Organization Safe Childbirth ChecklistBirth practicesQuality of careSustain behavior changeCoaching-based interventionBehavior changeFrequent coachingPerinatal mortalityBirth facilityAdherenceOutcomesGreater improvementAttendantsVisitsTrialsMonthsRegression modelsAssociationUtter PradeshEstimation in the Cox survival regression model with covariate measurement error and a changepoint
Agami S, Zucker DM, Spiegelman D. Estimation in the Cox survival regression model with covariate measurement error and a changepoint. Biometrical Journal 2020, 62: 1139-1163. PMID: 32003495, DOI: 10.1002/bimj.201800085.Peer-Reviewed Original ResearchConceptsSystolic blood pressure levelsChronic air pollution exposureCox survival regression modelFatal myocardial infarctionBlood pressure levelsCardiovascular disease deathsCox regression modelAir pollution exposureRegression modelsDisease deathsMyocardial infarctionRelative riskStandard Cox modelSurvival regression modelsCox modelPollution exposureSurvival endpointsCovariates of interest
2017
Evaluating Public Health Interventions: 6. Modeling Ratios or Differences? Let the Data Tell Us.
Spiegelman D, VanderWeele TJ. Evaluating Public Health Interventions: 6. Modeling Ratios or Differences? Let the Data Tell Us. American Journal Of Public Health 2017, 107: 1087-1091. PMID: 28590865, PMCID: PMC5463222, DOI: 10.2105/ajph.2017.303810.Peer-Reviewed Original Research
1997
Fully parametric and semi-parametric regression models for common events with covariate measurement error in main study/validation study designs.
Spiegelman D, Casella M. Fully parametric and semi-parametric regression models for common events with covariate measurement error in main study/validation study designs. Biometrics 1997, 53: 395-409. PMID: 9192443, DOI: 10.2307/2533945.Peer-Reviewed Original ResearchConceptsMain study/validation study designsSemi-parametric methodMeasurement error modelSemi-parametric estimatesCovariate measurement errorSemi-parametric regression modelEmpirical considerationsTrading efficiencyError modelInference proceedsConvenient mathematical propertiesMeasurement errorLikelihood functionModel choiceJoint likelihood functionValidation study designMisspecificationStandard theoryNonparametric formFamily of modelsImportant biasParametric resultsModel covariatesRegression modelsChoiceRegression calibration method for correcting measurement-error bias in nutritional epidemiology
Spiegelman D, McDermott A, Rosner B. Regression calibration method for correcting measurement-error bias in nutritional epidemiology. American Journal Of Clinical Nutrition 1997, 65: s1179-s1186. PMID: 9094918, DOI: 10.1093/ajcn/65.4.1179s.Peer-Reviewed Original ResearchConceptsHealth StudyDietary intakeMassachusetts Women's Health StudyUltradistal radius bone densityCox proportional hazards modelRadius bone densityNurses' Health StudyWomen's Health StudyIncidence rate ratiosRate ratioProportional hazards modelOdds ratioBone densityBreast cancerHazards modelVitamin ANutritional epidemiologyLogistic regressionGold standardLinear regression modelsEpidemiologyIntakeRegression modelsValidation studyPerson error
1994
Clinical utility of chest auscultation in common pulmonary diseases.
Bettencourt PE, Del Bono EA, Spiegelman D, Hertzmark E, Murphy RL. Clinical utility of chest auscultation in common pulmonary diseases. American Journal Of Respiratory And Critical Care Medicine 1994, 150: 1291-1297. PMID: 7952555, DOI: 10.1164/ajrccm.150.5.7952555.Peer-Reviewed Original ResearchConceptsChronic obstructive pulmonary diseaseCongestive heart failureInterstitial pulmonary fibrosisPulmonary diseaseMultiple logistic regression modelObstructive pulmonary diseaseCommon pulmonary conditionsCommon pulmonary diseasesLogistic regression modelsHeart failureRegression modelsPulmonary fibrosisLung diseasePulmonary conditionsChest auscultationClinical utilityCommon diseaseDiagnostic categoriesWave form analysisDiseaseSubjectsPneumoniaGroupFibrosisLung
1990
CORRECTION OF LOGISTIC REGRESSION RELATIVE RISK ESTIMATES AND CONFIDENCE INTERVALS FOR MEASUREMENT ERROR: THE CASE OF MULTIPLE COVARIATES MEASURED WITH ERROR
ROSNER B, SPIEGELMAN D, WILLETT WC. CORRECTION OF LOGISTIC REGRESSION RELATIVE RISK ESTIMATES AND CONFIDENCE INTERVALS FOR MEASUREMENT ERROR: THE CASE OF MULTIPLE COVARIATES MEASURED WITH ERROR. American Journal Of Epidemiology 1990, 132: 734-745. PMID: 2403114, DOI: 10.1093/oxfordjournals.aje.a115715.Peer-Reviewed Original ResearchConceptsAge-adjusted relative riskRelative riskRisk factorsFat intakeMultiple logistic regression modelBreast cancer riskConfidence intervalsTrue risk factorRelative risk estimatesValidation studyLogistic regression modelsMultivariate linear regression modelRegression modelsAlcohol intakeProspective studyDietary fatBreast cancerCancer riskLogistic regressionRisk estimatesIntakeRiskSeparate validation studyContinuous variablesPositive association