 Connection
Samantha MaWhinney to Models, Statistical
This is a "connection" page, showing publications Samantha MaWhinney has written about Models, Statistical.
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Connection Strength |
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0.379 |
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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: 0.142
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Pagano M, Tu XM, De Gruttola V, MaWhinney S. Regression analysis of censored and truncated data: estimating reporting-delay distributions and AIDS incidence from surveillance data. Biometrics. 1994 Dec; 50(4):1203-14.
Score: 0.095
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Forster JE, MaWhinney S, Ball EL, Fairclough D. A varying-coefficient method for analyzing longitudinal clinical trials data with nonignorable dropout. Contemp Clin Trials. 2012 Mar; 33(2):378-85.
Score: 0.077
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Bolt MA, MaWhinney S, Pattee JW, Erlandson KM, Badesch DB, Peterson RA. Inference following multiple imputation for generalized additive models: an investigation of the median p-value rule with applications to the Pulmonary Hypertension Association Registry and Colorado COVID-19 hospitalization data. BMC Med Res Methodol. 2022 05 21; 22(1):148.
Score: 0.040
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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: 0.025
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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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