Predicting Principal Stratum Membership in Randomized Environmental Interventions

dc.contributor.advisorPeng, Roger D.en_US
dc.contributor.authorFreeland, Katherine Elizabethen_US
dc.contributor.committeeMemberStuart, Elizabeth A.en_US
dc.date.accessioned2015-09-16T04:12:09Z
dc.date.available2015-09-16T04:12:09Z
dc.date.created2015-05en_US
dc.date.issued2015-04-16en_US
dc.date.submittedMay 2015en_US
dc.description.abstractEnvironmental interventions targeted at reducing indoor allergens and pollutants have shown promise as a method for improving respiratory health outcomes in children by reducing exposure in the home. However, in these interventions, it is difficult to determine the effect of reduced exposure, a post-randomization variable, on the respiratory outcomes. Using principal stratification, a framework for calculating principal effects (i.e. effects within a stratum), we are able to measure the effect of reduced exposure on respiratory outcomes. These principal effects allow for the comparison of treatment effects for those who would and would not have seen a reduction in allergen (or pollutant) levels. With the exposure reduction variable, we can identify principal strata membership for some individuals in the control and treatment groups. However, the observed data only allow us partial identification of strata for other individuals. We develop a resampling based estimator that incorporates the uncertainty from fitting a model (of which the ‘true’ form is unknown) to predict likely stratum membership, classifying individuals based on this estimated probability, as well as finite sampling uncertainty. This estimation procedure allows the model form to change to best fit the resampled data at hand, reflecting the true uncertainty in this process.en_US
dc.format.mimetypeapplication/pdfen_US
dc.identifier.urihttp://jhir.library.jhu.edu/handle/1774.2/38132
dc.languageen
dc.publisherJohns Hopkins University
dc.subjectPrincipal Stratificationen_US
dc.subjectEnvironmental Interventionsen_US
dc.subjectAsthmaen_US
dc.subjectClinical Trialen_US
dc.titlePredicting Principal Stratum Membership in Randomized Environmental Interventionsen_US
dc.typeThesisen_US
dc.type.materialtexten_US
thesis.degree.departmentBiostatisticsen_US
thesis.degree.disciplineBiostatisticsen_US
thesis.degree.grantorJohns Hopkins Universityen_US
thesis.degree.grantorBloomberg School of Public Healthen_US
thesis.degree.levelMastersen_US
thesis.degree.nameSc.M.en_US
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