Addressing Systematic Missing Data in the Context of Causally Interpretable Meta-analysis
Author:
Funder
Patient-Centered Outcomes Research Institute
Publisher
Springer Science and Business Media LLC
Subject
Public Health, Environmental and Occupational Health
Link
https://link.springer.com/content/pdf/10.1007/s11121-023-01586-2.pdf
Reference40 articles.
1. Barker, D. H., Dahabreh, I. J., Steingrimsson, J. A., Houck, C., Donenberg, G., DiClemente, R., & Brown, L. K. (2021). Causally interpretable meta-analysis: Application in adolescent HIV prevention. Prevention Science. https://doi.org/10.1007/s11121-021-01270-3
2. Brincks, A., Montag, S., Howe, G. W., Huang, S., Siddique, J., Ahn, S., Sandler, I. N., Pantin, H., & Brown, C. H. (2018). Addressing methodologic challenges and minimizing threats to validity in synthesizing findings from individual level data across longitudinal randomized trials. Prevention Science, 19(Suppl 1), 60–73. https://doi.org/10.1007/s11121-017-0769-1
3. Burgess, S., White, I. R., Resche-Rigon, M., & Wood, A. M. (2013). Combining multiple imputation and meta-analysis with individual participant data. Statistics in Medicine, 32(26), 4499–4514. https://doi.org/10.1002/sim.5844
4. Chaimani, A. (2020). Conduct and reporting of individual participant data network meta-analyses need improvement. BMC Medicine, 18(1), 156. https://doi.org/10.1186/s12916-020-01630-w
5. Chernozhukov, V., Chetverikov, D., Demirer, M., Duflo, E., Hansen, C., Newey, W., & Robins, J. (2018). Double/debiased machine learning for treatment and structural parameters. The Econometrics Journal, 21(1), C1–C68. https://doi.org/10.1111/ectj.12097
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