The paired availability design: a proposal for evaluating epidural analgesia during labor.
By Stuart G. Baker, K. Lindeman. 1994
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Susan Athey
- Guido W. Imbens
- Nathan Kallus
- Kosuke Imai
- Stefan Wager
- Elizabeth A. Stuart
- Peng Ding
- Donald B. Rubin
Citations in the corpus
- The Econometrics of Randomized Experiments (2016, background): “Bloom (1984), Zelen (1979, 1990), Baker and Lindeman (1994), Cuzick, Edwards, and Segnan (1997), contain early and independent discussions of the instrumental variables approach, some in the special case of one-sided non-compliance, and Imbens and Angrist (1994), Angrist, Imbens and Rubin (1996)…”
- A confounding bridge approach for double negative control inference on causal effects (2018, unknown): “The instrumental variable (IV) approach (Angrist et al., 1996; Baker & Lindeman, 1994; Goldberger,1972; Robins, 1994; Wright, 1928), rests on an auxiliary covariate that (i) has no direct effect on the outcome, (ii) is independent of the unmeasured confounder, and (iii) is associated with the…”
- Teaching Statistical Inference for Causal Effects in Experiments and Observational Studies (2004, background): “More recent highly relevant work includes Baker (1998) and Baker and Lindeman (1994).”
- Assessing the effect of an influenza vaccine in an encouragement design. (2000, background): “…been considered in other fields by, among others, Zelen (1979, 1990), Hearst et al. (1986), Holland (1988), Permutt and Hebel (1989), Robins (1989), Efron and Feldman (1991), Sommer and Zeger (1991), Baker and Lindeman (1994), McClellan and Newhouse (1994), Pearl (1995), and Little and Yau (1998).”
- Matching With Multiple Control Groups With Adjustment for Group Differences (2008, methodology): “Baker and Lindeman (1994, 2001) used multiple control groups to examine the effect of the availability of epidural anesthetic on the rate of Cesarean sections. Dempster, Selwyn, and Weeks (1983) treated a set of historical control groups as arising from a superpopulation and used Bayesian methods to”
- Defining and Estimating Intervention Effects for Groups that will Develop an Auxiliary Outcome (2006, background): “The ideas have been applied to a broad range of problems, including censoring by death (Robins, 1986; Zhang and Rubin, 2003), noncompliance in randomized trials (Angrist, Imbens and Rubin, 1996; Baker and Lindeman, 1994), the estimation of the effects of vaccines on post-infection outcomes (Gilbert,”
- The International Journal of Biostatistics Principal Stratification — a Goal or a Tool ? (2011, unknown): “Baker and Lindeman (1994) and Imbens and Angrist (1994) introduced a new element into this analysis.”
- Bayesian inference for causal effects in randomized experiments with noncompliance (1997, background): “…in the context of randomized experiments with noncompliance [Zelen (1979, 1990), Bloom (1984), Holland (1988), Hearst, Newman and Hulley (1986), Permutt and Hebel (1989), Robins (1989), Sommer and Zeger (1991), Balke and Pearl (1994), Baker and Lindeman (1994) and McClellan and Newhouse (1994)].”
- Latent class instrumental variables: A clinical and biostatistical perspective (2015, methodology): “As formulated in Baker and Lindeman [6], the likelihood kernel is”