 Connection
Nichole Carlson to Models, Statistical
This is a "connection" page, showing publications Nichole Carlson has written about Models, Statistical.
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Connection Strength |
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1.061 |
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Carlson NE, Grunwald GK, Johnson TD. Using Cox cluster processes to model latent pulse location patterns in hormone concentration data. Biostatistics. 2016 Apr; 17(2):320-33.
Score: 0.394
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Carlson NE, Horton KW, Grunwald GK. A comparison of methods for analyzing time series of pulsatile hormone data. Stat Med. 2013 Nov 20; 32(26):4624-38.
Score: 0.334
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Moore CM, MaWhinney S, Carlson NE, Kreidler S. A Bayesian natural cubic B-spline varying coefficient method for non-ignorable dropout. BMC Med Res Methodol. 2020 10 07; 20(1):250.
Score: 0.138
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Horton KW, Carlson NE, Grunwald GK, Mulvahill MJ, Polotsky AJ. A population-based approach to analyzing pulses in time series of hormone data. Stat Med. 2017 Jul 20; 36(16):2576-2589.
Score: 0.109
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Carlson NE, Johnson TD, Brown MB. A Bayesian approach to modeling associations between pulsatile hormones. Biometrics. 2009 Jun; 65(2):650-9.
Score: 0.063
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Moore CM, MaWhinney S, Forster JE, Carlson NE, Allshouse A, Wang X, Routy JP, Conway B, Connick E. Accounting for dropout reason in longitudinal studies with nonignorable dropout. Stat Methods Med Res. 2017 Aug; 26(4):1854-1866.
Score: 0.024
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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