David Hoaglin to Probability
This is a "connection" page, showing publications David Hoaglin has written about Probability.
Connection Strength
1.006
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Kulinskaya E, Hoaglin DC. Estimation of heterogeneity variance based on a generalized Q statistic in meta-analysis of log-odds-ratio. Res Synth Methods. 2023 Sep; 14(5):671-688.
Score: 0.206
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Kulinskaya E, Hoaglin DC. On the Q statistic with constant weights in meta-analysis of binary outcomes. BMC Med Res Methodol. 2023 06 21; 23(1):146.
Score: 0.206
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Dong G, Hoaglin DC, Huang B, Cui Y, Wang D, Cheng Y, Gamalo-Siebers M. The stratified win statistics (win ratio, win odds, and net benefit). Pharm Stat. 2023 Jul-Aug; 22(4):748-756.
Score: 0.201
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Dong G, Huang B, Wang D, Verbeeck J, Wang J, Hoaglin DC. Adjusting win statistics for dependent censoring. Pharm Stat. 2021 05; 20(3):440-450.
Score: 0.172
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Dong G, Mao L, Huang B, Gamalo-Siebers M, Wang J, Yu G, Hoaglin DC. The inverse-probability-of-censoring weighting (IPCW) adjusted win ratio statistic: an unbiased estimator in the presence of independent censoring. J Biopharm Stat. 2020 09 02; 30(5):882-899.
Score: 0.167
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Dong G, Huang B, Verbeeck J, Cui Y, Song J, Gamalo-Siebers M, Wang D, Hoaglin DC, Seifu Y, M?tze T, Kolassa J. Win statistics (win ratio, win odds, and net benefit) can complement one another to show the strength of the treatment effect on time-to-event outcomes. Pharm Stat. 2023 01; 22(1):20-33.
Score: 0.048
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Berkey CS, Hoaglin DC, Mosteller F, Colditz GA. A random-effects regression model for meta-analysis. Stat Med. 1995 Feb 28; 14(4):395-411.
Score: 0.007