On Sensitivity Value of Pair-Matched Observational Studies

Amplification of Sensitivity Analysis in Matched Observational Studies.

A sensitivity analysis displays the increase in uncertainty that attends an inference when a key assumption is relaxed. In matched observational studies of treatment effects, a key assumption in some analyses is that subjects matched for observed covariates are comparable, and this assumption is relaxed by positing a relevant covariate that was not observed and not controlled by matching. What ...

Matched-Pair Studies with Misclassified Ordinal Data

Design Sensitivity in Observational Studies

If an observational study were free of unobserved bias, we would not know this from the observed data. The best we could hope to say is that only very large unobserved biases could alter the conclusions of the study. What features of the design of an observational study reduce its sensitivity to unobserved biases? How can designs for observational studies be compared quantitatively in terms of ...

Sensitivity Analysis in Observational Studies

Sensitivity analysis for m-estimates, tests, and confidence intervals in matched observational studies.

Huber's m-estimates use an estimating equation in which observations are permitted a controlled level of influence. The family of m-estimates includes least squares and maximum likelihood, but typical applications give extreme observations limited weight. Maritz proposed methods of exact and approximate permutation inference for m-tests, confidence intervals, and estimators, which can be derive...