2009
DOI: 10.1089/jpm.2009.9631
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When and How to Use Instrumental Variables in Palliative Care Research

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Cited by 20 publications
(12 citation statements)
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“…It was not possible to identify an instrumental variable for this sample. 34 As a sensitivity analysis, we ran GLM and ordinary least squares regressions on the unweighted sample, and results were substantively similar (Data Supplement). Abbreviations: PC, palliative care; UC, usual care.…”
Section: Discussionmentioning
confidence: 80%
“…It was not possible to identify an instrumental variable for this sample. 34 As a sensitivity analysis, we ran GLM and ordinary least squares regressions on the unweighted sample, and results were substantively similar (Data Supplement). Abbreviations: PC, palliative care; UC, usual care.…”
Section: Discussionmentioning
confidence: 80%
“…Second, we attempted to more explicitly control for potential unobserved confounders by estimating alternative GLM regressions in which indicator variables for the attending physician were used as instruments (Penrod, Goldstein, and Deb 2009;Penrod et al 2010). Due to the nonlinear nature of the regression model, we estimated the instrumental variables GLM using two-stage residual inclusion (Terza, Basu, and Rathouz 2008).…”
Section: Discussionmentioning
confidence: 99%
“…IV approaches are common in economics, but are also increasingly used in health systems research (see, for instance [55][56][57]). Overall, quasi-experimental observational research designs (such as IV, RD, CBA, or ITS,) can potentially generate unbiased effect size estimates, even in those cases where, after controlling for observed covariates, the probability that a unit of observation receives a reform or an intervention depends on the outcome of interest.…”
Section: Discussionmentioning
confidence: 99%