David Hoaglin to Research Design
This is a "connection" page, showing publications David Hoaglin has written about Research Design.
Connection Strength
2.876
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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: 0.558
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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: 0.541
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Dong G, Huang B, Chang YW, Seifu Y, Song J, Hoaglin DC. The win ratio: Impact of censoring and follow-up time and use with nonproportional hazards. Pharm Stat. 2020 05; 19(3):168-177.
Score: 0.518
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Hoaglin DC. Contribution to the discussion of "When should meta-analysis avoid making hidden normality assumptions?" Biom J. 2018 11; 60(6):1083-1084.
Score: 0.475
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Hoaglin DC. We know less than we should about methods of meta-analysis. Res Synth Methods. 2015 Sep; 6(3):287-9.
Score: 0.382
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Dong G, Cui Y, Gamalo-Siebers M, Liao R, Liu D, Hoaglin DC, Lu Y. On approximate equality of Z-values of the statistical tests for win statistics (win ratio, win odds, and net benefit). J Biopharm Stat. 2025 May; 35(3):457-464.
Score: 0.182
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Chang BH, Hoaglin DC. Meta-Analysis of Odds Ratios: Current Good Practices. Med Care. 2017 04; 55(4):328-335.
Score: 0.108
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Hoaglin DC, Hawkins N, Jansen JP, Scott DA, Itzler R, Cappelleri JC, Boersma C, Thompson D, Larholt KM, Diaz M, Barrett A. Conducting indirect-treatment-comparison and network-meta-analysis studies: report of the ISPOR Task Force on Indirect Treatment Comparisons Good Research Practices: part 2. Value Health. 2011 Jun; 14(4):429-37.
Score: 0.072
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Bakbergenuly I, Hoaglin DC, Kulinskaya E. Methods for estimating between-study variance and overall effect in meta-analysis of odds ratios. Res Synth Methods. 2020 May; 11(3):426-442.
Score: 0.033
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Emerson JD, Burdick E, Hoaglin DC, Mosteller F, Chalmers TC. An empirical study of the possible relation of treatment differences to quality scores in controlled randomized clinical trials. Control Clin Trials. 1990 Oct; 11(5):339-52.
Score: 0.004