Central role

2005

Citations in the corpus

• Local Linear Forests (2018, methodology): “(28) We will assume unconfoundedness (Rosenbaum and Rubin 1983); therefore, because we hold propensity fixed, this is a randomized controlled trial.”
• The Return to a University Education in Great Britain (2005, background): “However, they argue that the application process will create some disparities between the academic ability of students and the quality of the institution (discipline) chosen, allowing for the use of propensity score matching (see Rosenbaum and Rubin, 1983).”
• Technical efficiency analysis correcting for biases from observed and unobserved variables: an application to a natural resource management project (2012, methodology): “In other words, it is an approach that can be used to create the counterfact ual si uation while mitigating potential biases associated with observed characteristics (Rosenbaum and Rubin 1983).”
• Do CRM Systems Cause One-to-One Marketing Effectiveness? (2006, background): “In this paper, we point to the usefulness of a potential outcomes approach, called propensity score stratification (Rosenbaum and Rubin, 1983b), to investigate causal relationships in the substantive domain of electronic commerce research.”
• Does Weighting for Nonresponse Increase the Variance of Survey Means (2004, unknown): “Propensity score methods were originally developed in the context of matching cases and controls in observational studies (Rosenbaum and Rubin 1983), but are now quite commonly applied in the setting of unit nonresponse (Little 1986; Czajka, Hirabayashi, Little and Rubin 1987; Ezzati and Khare 1992)”
• Does New Teacher Induction Really Improve Retention? (2017, background): “Propensity scoring is the projected probability that a participant will be assigned to a treatment condition—in our case the probability of receiving extensive induction supports—given the individuals’ characteristics on several covariates (Rosenbaum & Rubin, 1983).”
• Standardization and Control for Confounding in Observational Studies: A Historical Perspective (2015, background): “Toward the end of the 20th century, the use of marginal measures of causal effects emerged from the counterfactual approach to causal analysis in the social sciences, the idea of propensity scores (Rosenbaum and Rubin, 1983) being particularly influential.”
• Inference for Nonprobability Samples (2017, methodology): “This may be done based on individual covariate values or on propensity scores as described in Rosenbaum and Rubin (1983).”