Testing one hypothesis twice in observational studies

By Paul R. Rosenbaum. 2012

46 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/0567ef7f07e9ef29f4aefc6ae4e9cca3d4db35b5

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In Management Science and Operations Research

In Statistics and Probability

Citations in the corpus

Optimal Multilevel Matching in Clustered Observational Studies: A Case Study of the School Voucher System in Chile (2014, background): “Following Zubizarreta (2012), these specifications for covariate balance may not only require mean balance, but perhaps also other forms of distributional balance such as fine balance (Rosenbaum et al. 2007), x-fine balance (Zubizarreta et al. 2011), and strength-k matching (Hsu et al. 2014).”
Matching for Balance, Pairing for Heterogeneity in an Observational Study of the Effectiveness of For-Profit and Not-For-Profit High Schools in Chile (2014, background): “Under H0, Λ = 2 means that an imbalance in u at most doubles the odds of treatment, Zi1 − Zi2 = 1, while ∆ = 2 means that u at most doubles the odds of a positive response difference, Yi > 0, and the parameter ∆ is defined in terms of Wolfe’s (1974) semiparametric family of deformations of a distrib”
Effect Modification and Design Sensitivity in Observational Studies (2013, methodology): “Again, this is expected in large samples because the combination of four tests has the same design sensitivity as the best of the four individual tests (Rosenbaum 2012, proposition 2).”
General Forms of Finite Population Central Limit Theorems with Applications to Causal Inference (2016, methodology): “→ Nd (0,Vρ ∞). Note that the ﬁrst condition in (19) is ensured by (18), and the second condition in (19) holds automatically as argued in (17). To determine the rejection region for (T,W), similar to Rosenbaum (2012), we introduce 1−γρ(c), the probability of the 2-dimensional lower orthant (−∞,c]×(−”