Brian Neelon to Models, Statistical
This is a "connection" page, showing publications Brian Neelon has written about Models, Statistical.
Connection Strength
3.967
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A Bayesian zero-inflated beta-binomial model for longitudinal data with group-specific changepoints. Stat Med. 2024 01 15; 43(1):125-140.
Score: 0.703
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A Bayesian multivariate mixture model for skewed longitudinal data with intermittent missing observations: An application to infant motor development. Biometrics. 2021 06; 77(2):675-688.
Score: 0.559
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Modeling zero-modified count and semicontinuous data in health services research Part 1: background and overview. Stat Med. 2016 11 30; 35(27):5070-5093.
Score: 0.425
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Modeling zero-modified count and semicontinuous data in health services research part 2: case studies. Stat Med. 2016 11 30; 35(27):5094-5112.
Score: 0.425
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The LZIP: A Bayesian latent factor model for correlated zero-inflated counts. Biometrics. 2017 03; 73(1):185-196.
Score: 0.423
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Bayesian two-part spatial models for semicontinuous data with application to emergency department expenditures. Biostatistics. 2015 Jul; 16(3):465-79.
Score: 0.383
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A spatial bivariate probit model for correlated binary data with application to adverse birth outcomes. Stat Methods Med Res. 2014 Apr; 23(2):119-33.
Score: 0.317
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A Bayesian growth mixture model to examine maternal hypertension and birth outcomes. Stat Med. 2011 Sep 30; 30(22):2721-35.
Score: 0.299
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A marginalized two-part model for longitudinal semicontinuous data. Stat Methods Med Res. 2017 Aug; 26(4):1949-1968.
Score: 0.099
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A spatiotemporal quantile regression model for emergency department expenditures. Stat Med. 2015 Jul 30; 34(17):2559-75.
Score: 0.097
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A marginalized two-part model for semicontinuous data. Stat Med. 2014 Dec 10; 33(28):4891-903.
Score: 0.092
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Bayesian latent factor regression for functional and longitudinal data. Biometrics. 2012 Dec; 68(4):1064-73.
Score: 0.081
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A Bayesian framework for pathway-guided identification of cancer subgroups by integrating multiple types of genomic data. Stat Med. 2023 12 10; 42(28):5266-5284.
Score: 0.044
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Accurately predicting bipolar disorder mood outcomes: implications for the use of electronic databases. Med Care. 2012 Apr; 50(4):311-9.
Score: 0.020