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Instrumental variable estimation of causal odds ratios using structural nested mean models.

Publication ,  Journal Article
Matsouaka, RA; Tchetgen Tchetgen, EJ
Published in: Biostatistics
July 1, 2017

We consider estimating causal odds ratios using an instrumental variable under a logistic structural nested mean model (LSNMM). Current methods for LSNMMs either rely heavily on possible "uncongenial" modeling assumptions or involve intricate numerical challenges, which have impeded their use. In this article, we present an alternative method that ensures a congenial parametrization, circumvents computational complexity of existing methods, and is easy to implement. We illustrate the proposed method to (1) estimate the causal effect of years of education on earnings using data from the NLSYM and (2) assess the impact of moving families from high to low-poverty neighborhoods had on lifetime major depressive disorder among adolescents in the "Moving to Opportunity (MTO) for Fair Housing Demonstration Project" from the Department of Housing and Urban Development.

Duke Scholars

Published In

Biostatistics

DOI

EISSN

1468-4357

Publication Date

July 1, 2017

Volume

18

Issue

3

Start / End Page

465 / 476

Location

England

Related Subject Headings

  • Statistics & Probability
  • Risk
  • Poverty
  • Odds Ratio
  • Logistic Models
  • Humans
  • Depressive Disorder, Major
  • Causality
  • Adolescent
  • 4905 Statistics
 

Citation

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Matsouaka, R. A., & Tchetgen Tchetgen, E. J. (2017). Instrumental variable estimation of causal odds ratios using structural nested mean models. Biostatistics, 18(3), 465–476. https://doi.org/10.1093/biostatistics/kxw059
Matsouaka, Roland A., and Eric J. Tchetgen Tchetgen. “Instrumental variable estimation of causal odds ratios using structural nested mean models.Biostatistics 18, no. 3 (July 1, 2017): 465–76. https://doi.org/10.1093/biostatistics/kxw059.
Matsouaka RA, Tchetgen Tchetgen EJ. Instrumental variable estimation of causal odds ratios using structural nested mean models. Biostatistics. 2017 Jul 1;18(3):465–76.
Matsouaka, Roland A., and Eric J. Tchetgen Tchetgen. “Instrumental variable estimation of causal odds ratios using structural nested mean models.Biostatistics, vol. 18, no. 3, July 2017, pp. 465–76. Pubmed, doi:10.1093/biostatistics/kxw059.
Matsouaka RA, Tchetgen Tchetgen EJ. Instrumental variable estimation of causal odds ratios using structural nested mean models. Biostatistics. 2017 Jul 1;18(3):465–476.
Journal cover image

Published In

Biostatistics

DOI

EISSN

1468-4357

Publication Date

July 1, 2017

Volume

18

Issue

3

Start / End Page

465 / 476

Location

England

Related Subject Headings

  • Statistics & Probability
  • Risk
  • Poverty
  • Odds Ratio
  • Logistic Models
  • Humans
  • Depressive Disorder, Major
  • Causality
  • Adolescent
  • 4905 Statistics