Publications

Published/Accepted

1. Marks-Anglin A, Piao J, Ning J, Chen Y (2021). Quantifying the evidence of selective reporting in network meta-analysis: an EM algorithm-based approach. Biometrics (accepted)

2. Marks-Anglin A, Chen Y. A Historical Review of Publication Bias (2020). Research Synthesis Methods 11(6), pp.725-742. https://osf.io/preprints/metaarxiv/zmdpk/

3. Marks-Anglin A, Chen Y. Small-study effects: current practice and challenges for future research (2020). Statistics and its Interface. 13(4):475-484

4. Marks-Anglin A, Duan R, Chen Y, Panagiotou O, Schmid CH. (2020) chapter ``Publication and Outcome Reporting Bias" in the book ``Handbook of Meta-Analysis". Editors: Chris Schmid, Ian White and Theo Stijnen. Chapman and Hall/CRC.

5. Wang L, Rouse B, Marks-Anglin A., Duan R., Shi Q, Quach K, Chen Y., Schmid CH, Li T. (2019) Rapid network meta-analysis using data from Food and Drug Administration approval packages is feasible but with limitations. Journal of Clinical Epidemiology. 114:84--94.

Under review/In preparation

1. Duan R, Piao J, Marks-Anglin A, Chu H, Ning J and Chen Y. Testing for publication bias in meta-analysis under Copas selection model. (under review). https://arxiv.org/abs/2007.00836

2. Luo C, Marks-Anglin A, Duan R, Lin L, Hong C, Chu H, Chen Y. Accounting for small-study effects using a bivariate trim and fill meta-analysis procedure. (under review)

3. Marks-Anglin A, Hwang WT, Weibe D, Emmett E, Agawu A, Anderson M, Elahi S, Barg F. Survival analysis under differential ascertainment of event times using linked historic census data (submitted)

4. Luo C, Islam NM, Sheils N,..., Marks-Anglin A,...,Asch D and Chen Y. DLMM: Lossless One-shot Distributed Linear Mixed Model for a Multisite International Study of COVID-19 Hospitalization Length of Stay (submitted)

5. Marks-Anglin A, Luo C, Hubbard R, Chen Y. Surrogate-assisted sampling for cost-efficient validation of electronic health record outcomes (in preparation)