Search Results - "Page, Garritt L."

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    On a class of repulsive mixture models by Quinlan, José J., Quintana, Fernando A., Page, Garritt L.

    Published in Test (Madrid, Spain) (01-06-2021)
    “…Finite or infinite mixture models are routinely used in Bayesian statistical practice for tasks such as clustering or density estimation. Such models are very…”
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    Spectral adjustment for spatial confounding by Guan, Yawen, Page, Garritt L, Reich, Brian J, Ventrucci, Massimo, Yang, Shu

    Published in Biometrika (01-09-2023)
    “…Summary Adjusting for an unmeasured confounder is generally an intractable problem, but in the spatial setting it may be possible under certain conditions. We…”
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    Non-parametric Bayesian approach to multiple treatment comparisons in network meta-analysis with application to comparisons of anti-depressants by Barrientos, Andrés F, Page, Garritt L, Lin, Lifeng

    “…Network meta-analysis is a powerful tool to synthesize evidence from independent studies and compare multiple treatments simultaneously. A critical task of…”
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    Clustering and Prediction With Variable Dimension Covariates by Page, Garritt L., Quintana, Fernando A., Müller, Peter

    “…In many applied fields incomplete covariate vectors are commonly encountered. It is well known that this can be problematic when making inference on model…”
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    Dependent Modeling of Temporal Sequences of Random Partitions by Page, Garritt L., Quintana, Fernando A., Dahl, David B.

    “…We consider modeling a dependent sequence of random partitions. It is well known in Bayesian nonparametrics that a random measure of discrete type induces a…”
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    Temporally Dynamic, Cohort-Varying Value-Added Models by Page, Garritt L., San Martín, Ernesto, Irribarra, David Torres, Bellegem, Sébastien Van

    Published in Psychometrika (01-09-2024)
    “…We aim to estimate school value-added dynamically in time. Our principal motivation for doing so is to establish school effectiveness persistence while taking…”
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    Calibrating covariate informed product partition models by Page, Garritt L., Quintana, Fernando A.

    Published in Statistics and computing (01-09-2018)
    “…Covariate informed product partition models incorporate the intuitively appealing notion that individuals or units with similar covariate values a priori have…”
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    Template Priors in Bayesian Curve Registration by Horton, W. Zachary, Page, Garritt L., Reese, C. Shane, Lepley, Lindsey K., White, McKenzie

    Published in Technometrics (02-10-2021)
    “…In experiments where observations on each experimental unit are functional in nature, it is often the case that, in addition to variability along the…”
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    Estimation and Prediction in the Presence of Spatial Confounding for Spatial Linear Models by PAGE, GARRITT L., LIU, YAJUN, HE, ZHUOQIONG, SUN, DONCHU

    Published in Scandinavian journal of statistics (01-09-2017)
    “…In studies that produce data with spatial structure, it is common that covariates of interest vary spatially in addition to the error. Because of this, the…”
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    Affinity-based measures of biomarker performance evaluation by Carvalho, Miguel de, Barney, Bradley J, Page, Garritt L

    Published in Statistical methods in medical research (01-03-2020)
    “…We propose new summary measures of biomarker accuracy which can be used as companions to existing diagnostic accuracy measures. Conceptually, our summary…”
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    All Data are Wrong, but Some are Useful? Advocating the Need for Data Auditing by Tsagbey, Sitsofe, de Carvalho, Miguel, Page, Garritt L.

    Published in The American statistician (03-07-2017)
    “…In a recent article from the Annals of Applied Statistics, Cox discussed the main phases of applied statistical research ranging from clarifying study…”
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    The Construction of Sham Dry Needles and Their Validity by Page, Garritt L., Larson, Robert E., Stoneman, Paul, Mitchell, Ulrike H.

    “…Appropriate control interventions are necessary to show the treatment effect of dry needling. Different control procedures, such as dry needling of the…”
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    Serum Cartilage Oligomeric Matrix Protein Concentration Increases More After Running Than Swimming for Older People by Hay, Alexandra M., Rhoades, Madison J., Bangerter, Stephanie, Ferguson, Seth A., Lee, Hyunwook, T. Gill, Martha, Page, Garritt L., Pope, Andrew, Measom, Gary J., Hager, Ronald L., Seeley, Matthew K.

    Published in Sports health (01-07-2024)
    “…Background: Knee osteoarthritis is common in older people. Serum cartilage oligomeric matrix protein (sCOMP) is a biomarker of knee articular cartilage…”
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    Bayesian hierarchical modelling of growth curve derivatives via sequences of quotient differences by Page, Garritt L., Rodríguez‐Álvarez, María Xosé, Lee, Dae‐Jin

    “…Summary Growth curve studies are typically conducted to evaluate differences between group or treatment‐specific curves. Most analyses focus solely on the…”
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    Exploring complete school effectiveness via quantile value added by Page, Garritt L., San Martín, Ernesto, Orellana, Javiera, González, Jorge

    “…In education studies value added is by and large defined in terms of a test score distribution mean. Therefore, all except a particular summary of the test…”
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    Density regression using repulsive distributions by Quinlan, José J., Page, Garritt L., Quintana, Fernando A.

    “…Flexible regression is a traditional motivation for the development of non-parametric Bayesian models. A popular approach for this involves a joint model for…”
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    Bayes Statistical Analyses for Particle Sieving Studies by Leyva, Norma, Page, Garritt L., Vardeman, Stephen B., Wendelberger, Joanne R.

    Published in Technometrics (01-05-2013)
    “…Particle size is commonly used to determine quality and predict performance of particle systems. We consider particle size distributions inferred from a…”
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