377
Views
1
CrossRef citations to date
0
Altmetric
Original Articles

Bayesian misclassification and propensity score methods for clustered observational studies

, , &
Pages 1547-1560 | Received 12 Jan 2017, Accepted 12 Sep 2017, Published online: 08 Oct 2017

References

  • A. Alberto, and G.W. Imbens, Matching on the estimated propensity score, NBER Working Paper (15301), (2009).
  • W. An, Bayesian propensity score estimators: incorporating uncertainties in propensity scores into causal inference, Sociol. Methodol. 40 (2010), pp. 151–189. doi: 10.1111/j.1467-9531.2010.01226.x
  • B. Arpino and F. Mealli, The specification of the propensity score in multilevel observational studies, Comput. Stat. Data Anal. 55 (2011), pp. 1770–1780. doi: 10.1016/j.csda.2010.11.008
  • P.C. Austin, The relative ability of different propensity score methods to balance measured covariates between treated and untreated subjects in observational studies, Med. Decis. Mak. 29 (2009), 661–677. doi: 10.1177/0272989X09341755
  • Y.-M. Chin, J.J. Song, and J. Stamey, A Bayesian approach to misclassified binary response: Female employment and intimate partner violence in urban India, Appl. Econ. Lett. 24 (2017), pp. 1439–1442. doi: 10.1080/13504851.2017.1282139
  • D. Kaplan and J. Chen, A two-step Bayesian approach for propensity score analysis: simulations and case study, Psychometrika 77 (2012), pp. 581–609. doi: 10.1007/s11336-012-9262-8
  • F. Li, A.M. Zaslavsky, and M.B. Landrum, Propensity score weighting with multilevel data, Stat. Med. 32 (2013), pp. 3373–3387. doi: 10.1002/sim.5786
  • L.C. McCandless, P. Gustafson, and P.C. Austin, Bayesian propensity score analysis for observational data, Stat. Med. 28 (2009), pp. 94–112. doi: 10.1002/sim.3460
  • J.M. Neuhaus, Bias and efficiency loss due to misclassified responses in binary regression, Biometrika 86 (1999), pp. 843–855. doi: 10.1093/biomet/86.4.843
  • T. Palermo, J. Bleck, and A. Peterman, Tip of the iceberg: reporting and gender-based violence in developing countries, Am. J Epidemiol. 179 (2014), pp. 602–612. doi: 10.1093/aje/kwt295
  • C.D. Paulino, G. Silva, and J.A. Achcar, Bayesian analysis of correlated misclassified binary data, Comput. Stat. Data Anal. 49 (2005), pp. 1120–1131. doi: 10.1016/j.csda.2004.07.004
  • C.D. Paulino, P. Soares, and J. Neuhaus, Binomial regression with misclassification, Biometrics 59 (2003), pp. 670–675. doi: 10.1111/1541-0420.00077
  • R.F. Rabin, J.M. Jennings, J.C. Campbell, and M.H. Bair-Merritt, Intimate partner violence screening tools, Am J Prev Med. 36 (2009), pp. 439–445.e4. doi:doi: 10.1016/j.amepre.2009.01.024
  • P.R. Rosenbaum and D.B. Rubin, The central role of the propensity score in observational studies for causal effects, Biometrika 70 (1983), pp. 41–55. doi: 10.1093/biomet/70.1.41
  • H. Singh and S. Kumar, Population growth, poverty and unemployment in India: a contemporary state level analysis, Eur. Acad. Res. 1 (2014), pp. 5917–5929.
  • Y.-S. Su and J. Cortina, What do we gain? combining propensity score methods and multilevel modeling. APSA 2009 Toronto Meeting Paper, (2009).
  • S. Vyas and C. Watts, How does economic empowerment affect women’s risk of intimate partner violence in low and middle income countries? A systematic review of published evidence, J Int. Dev. 21 (2009), pp. 577–602. doi: 10.1002/jid.1500

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.