Using Multiple Imputation, Survival Analysis, And Propensity Score Analysis In Cancer Data With Missingness

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dc.contributor.advisorHess, Kennethen_US
dc.contributor.committeeMemberVannucci, Marinaen_US
dc.contributor.committeeMemberScott, Daviden_US
dc.contributor.committeeMemberGuerra, Rudyen_US
dc.contributor.committeeMemberShen, Yuen_US
dc.creatorBerliner, Nathan Ken_US
dc.date.accessioned2016-01-07T17:06:34Zen_US
dc.date.available2016-01-07T17:06:34Zen_US
dc.date.created2015-12en_US
dc.date.issued2015-12-01en_US
dc.date.submittedDecember 2015en_US
dc.date.updated2016-01-07T17:06:34Zen_US
dc.description.abstractIn this thesis multiple imputation, survival analysis, and propensity score analysis are combined in order to answer questions about treatment efficacy in cancer data with missingness. While each of these fields have been studied individually, there has been little work and analysis on using all three together. Starting with an incomplete dataset, the goal is to impute the missing data, and then run survival and propensity score analysis on each of the imputed datasets to answer clinically relevant questions. Along the way, many theoretical and analytical decisions are made and justified. The methodology is then applied to an observational cancer survival dataset of patients who have brain metastases from breast cancer to determine the effectiveness of chemotherapeutic and HER2-directed therapies.en_US
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationBerliner, Nathan K. "Using Multiple Imputation, Survival Analysis, And Propensity Score Analysis In Cancer Data With Missingness." (2015) Master’s Thesis, Rice University. <a href="https://hdl.handle.net/1911/87747">https://hdl.handle.net/1911/87747</a>.en_US
dc.identifier.urihttps://hdl.handle.net/1911/87747en_US
dc.language.isoengen_US
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.en_US
dc.subjectMultiple Imputationen_US
dc.subjectSurvival Analysisen_US
dc.subjectCausal Analysisen_US
dc.titleUsing Multiple Imputation, Survival Analysis, And Propensity Score Analysis In Cancer Data With Missingnessen_US
dc.typeThesisen_US
dc.type.materialTexten_US
thesis.degree.departmentStatisticsen_US
thesis.degree.disciplineEngineeringen_US
thesis.degree.grantorRice Universityen_US
thesis.degree.levelMastersen_US
thesis.degree.nameMaster of Artsen_US
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