David C Hoaglin

ORCID

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 14

Top Venues

Research synthesis methods

Pharmaceutical statistics

Journal of biopharmaceutical statistics

Biometrical journal. Biometrische Zeitschrift

Princeton University (PHD)

This page only lists publications with an associated author ORCID identifier.

Education History

Princeton University

United States

PHD :: Department of Statistics

Duke University

United States

BSC :: Department of Mathematics

Publications

Gaohong Dong, David C Hoaglin, Bo Huang, Ying Cui, Duolao Wang, Yu Cheng, Margaret Gamalo
The stratified win statistics (win ratio, win odds, and net benefit). Pharmaceutical statistics (2023)
Elena Kulinskaya, David C Hoaglin
Estimation of heterogeneity variance based on a generalized Q statistic in meta-analysis of log-odds-ratio. Research synthesis methods (2023)
James Song, Johan Verbeeck, Bo Huang, David C Hoaglin, Margaret Gamalo, Yodit Seifu, Duo-Lao Wang, Freda Cooner, Gaohong Dong
The win odds: statistical inference and regression. Journal of biopharmaceutical statistics (2022)
Ilyas Bakbergenuly, David C Hoaglin, Elena Kulinskaya
On the Q statistic with constant weights for standardized mean difference. The British journal of mathematical and statistical psychology 75 (3) (2022)
Gaohong Dong, Bo Huang, Johan Verbeeck, Ying Cui, James Song, Margaret Gamalo, Duolao Wang, David C Hoaglin, Yodit Seifu, Tobias Mütze, John Kolassa
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. Pharmaceutical statistics (2022)
Elena Kulinskaya, David C Hoaglin, Ilyas Bakbergenuly, Joseph Newman
A Q statistic with constant weights for assessing heterogeneity in meta-analysis. Research synthesis methods 12 (6) (2021)
Gaohong Dong, L U Mao, Bo Huang, Margaret Gamalo-Siebers, Jiuzhou Wang, GuangLei Yu, David C Hoaglin
The inverse-probability-of-censoring weighting (IPCW) adjusted win ratio statistic: an unbiased estimator in the presence of independent censoring. Journal of biopharmaceutical statistics 30 (5) (2020)
Ilyas Bakbergenuly, David C Hoaglin, Elena Kulinskaya
Methods for estimating between-study variance and overall effect in meta-analysis of odds ratios. Research synthesis methods 11 (3) (2020)
Gaohong Dong, Bo Huang, Duolao Wang, Johan Verbeeck, Jiuzhou Wang, David C Hoaglin
Adjusting win statistics for dependent censoring. Pharmaceutical statistics 20 (3) (2020)
Gaohong Dong, Bo Huang, Yu-Wei Chang, Yodit Seifu, James Song, David C Hoaglin
The win ratio: Impact of censoring and follow-up time and use with nonproportional hazards. Pharmaceutical statistics 19 (3) (2019)
Ilyas Bakbergenuly, David C Hoaglin, Elena Kulinskaya
Estimation in meta-analyses of mean difference and standardized mean difference. Statistics in medicine 39 (2) (2019)
Ilyas Bakbergenuly, David C Hoaglin, Elena Kulinskaya
Pitfalls of using the risk ratio in meta-analysis. Research synthesis methods 10 (3) (2019)
David C Hoaglin
Contribution to the discussion of "When should meta-analysis avoid making hidden normality assumptions?" Biometrical journal. Biometrische Zeitschrift 60 (6) (2018)
David C Hoaglin
Practical challenges of I2 as a measure of heterogeneity. Research synthesis methods 8 (3) (2017)

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Publication Activity (10 Years)

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David C Hoaglin