Statistical methods for comparative effectiveness
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Statistical methods for comparative effectiveness
Statistical Methods for Comparative Effectiveness Research of Medical DevicesA dissertation presentedbyLauren Margaret KunztoThe Department of Biostat Statistical methods for comparative effectiveness tisticsin partial fulfillment of the requirements for the degree of Doctor of Philosophyin the subject of BiostatisticsI Harvard University Cambridge, Massachusetts41913Dissertation Advisor: Professor Sharon-Lise T. NormandLauren Margaret KunzStatistical Methods for Comparative Effectiveness Researc Statistical methods for comparative effectiveness h of Medical DevicesAbstractA recent focus in health care policy is on comparative effectiveness of treatments from drugs to behavioral interventionsStatistical methods for comparative effectiveness
to medical devices. Medical devices bring a unique set of challenges for comparative effectiveness research. In this dissertation, 1 develop statisticStatistical Methods for Comparative Effectiveness Research of Medical DevicesA dissertation presentedbyLauren Margaret KunztoThe Department of Biostat Statistical methods for comparative effectiveness eview approaches for causal inference in the context of observational cohort studies, utilizing a potential outcomes framework demonstrated using data for patients undergoing revascularization surgery with radial versus femoral artery access. Propensity score methods; G-computation; augmented invers Statistical methods for comparative effectiveness e probability of treatment weighting; and targeted maximum likelihood estimation are implemented and their causal and statistical assumptions evaluateStatistical methods for comparative effectiveness
d. In chapter 3, I undertake a theoretical and simulation-based assessment of differentia) follow-up information per treatment arm on inference in metStatistical Methods for Comparative Effectiveness Research of Medical DevicesA dissertation presentedbyLauren Margaret KunztoThe Department of Biostat Statistical methods for comparative effectiveness cular resynchronization therapies to examine comparative survival, only 3 of 8 studies report arm-specific follow-up. 1 derive the bias of the rate ratio for an individual study using the number of deaths and toted patients per arm and show that the bias can be large, even for modest violations of t Statistical methods for comparative effectiveness he assumption that follow-up is the same in the two arms. Furthermore, when pooling multiple studies with Bayesian methods for random effects mcta-anaStatistical methods for comparative effectiveness
lysis, the direction and magnitude of the bias is unpredictable. In chapter 1,1 examine the statistical power for designing a study of devices when itStatistical Methods for Comparative Effectiveness Research of Medical DevicesA dissertation presentedbyLauren Margaret KunztoThe Department of Biostat Statistical methods for comparative effectiveness ken into account. In these situations, a stepped wedge design (SWD) cluster randomized design may be used to rigorously assess the roll-out of novel devices. I determine the exact asymptotic theoretical power using Romberg integration over cluster random effects to calculate power in a two-treatment Statistical methods for comparative effectiveness , binary outcome SWD. Over a range of design parameters, the exact method is from 9% to 2.4 times more efficient than designs based on the existing meStatistical methods for comparative effectiveness
thod.ivContentsTitle page.............................................................. iAbstract.....................................................Statistical Methods for Comparative Effectiveness Research of Medical DevicesA dissertation presentedbyLauren Margaret KunztoThe Department of Biostat Statistical methods for comparative effectiveness .......viiiList of Tables.......................................................... XAcknowledgments........................................................xii1Introduction12An Overview of Statistical Approaches for Comparative Effectiveness Researchfor Assessing In-Hospital Complications of Percuta Statistical methods for comparative effectiveness neous Coronary Interventions By Access Site52.1Introduction........................................................ 62.2Causal Model Basics...........Statistical methods for comparative effectiveness
...................................... 72.2.1Causal Parameters............................................ 92.2.2Underlying CausalAssumptions.........Statistical Methods for Comparative Effectiveness Research of Medical DevicesA dissertation presentedbyLauren Margaret KunztoThe Department of Biostat Statistical methods for comparative effectiveness ............ 142.3.1Methods Using the Treatment Assignment Mechanism............ 142.3.2Methods Using the Outcome Regression ....................... 192.3.3Methods Using the Treatment Assignment Mechanism and the Outcome ..............................................................20 Statistical methods for comparative effectiveness Statistical Methods for Comparative Effectiveness Research of Medical DevicesA dissertation presentedbyLauren Margaret KunztoThe Department of BiostatGọi ngay
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