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

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dc.contributor.advisorHess, Kenneth
dc.contributor.committeeMemberVannucci, Marina
dc.contributor.committeeMemberScott, David
dc.contributor.committeeMemberGuerra, Rudy
dc.contributor.committeeMemberShen, Yu
dc.creatorBerliner, Nathan K
dc.date.accessioned2016-01-07T17:06:34Z
dc.date.available2016-01-07T17:06:34Z
dc.date.created2015-12
dc.date.issued2015-12-01
dc.date.submittedDecember 2015
dc.date.updated2016-01-07T17:06:34Z
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.
dc.format.mimetypeapplication/pdf
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>.
dc.identifier.urihttps://hdl.handle.net/1911/87747
dc.language.isoeng
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.
dc.subjectMultiple Imputation
dc.subjectSurvival Analysis
dc.subjectCausal Analysis
dc.titleUsing Multiple Imputation, Survival Analysis, And Propensity Score Analysis In Cancer Data With Missingness
dc.typeThesis
dc.type.materialText
thesis.degree.departmentStatistics
thesis.degree.disciplineEngineering
thesis.degree.grantorRice University
thesis.degree.levelMasters
thesis.degree.nameMaster of Arts
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