Split Samples and Design Sensitivity in Observational Studies

@inproceedings{Heller2008SplitSA,
  title={Split Samples and Design Sensitivity in Observational Studies},
  author={Ruth Heller and Paul R. Rosenbaum and Dylan S. Small},
  year={2008}
}
An observational or nonrandomized study of treatment effects may be biased by failure to control for some relevant covariate that was not measured. The design of an observational study is known to strongly affect its sensitivity to biases from covariates that were not observed. For instance, the choice of an outcome to study, or the decision to combine several outcomes in a test for coherence, can materially affect the sensitivity to unobserved biases. Decisions that shape the design are… CONTINUE READING

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References

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Showing 1-10 of 25 references

Sensitivity Analysis for Certain Permutation Inferences in Matched Observational Studies,

P. R. Rosenbaum
Biometrika • 1987
View 5 Excerpts
Highly Influenced

The Analysis of Case-Control Studies, Lyon: International Agency for Research on Cancer

N. E. Breslow, N. E. Day
1980
View 3 Excerpts
Highly Influenced

Sensitivity to Exogeneity Assumptions in Program Evaluation,

G. W. Imbens
American Economic Review, • 2003
View 1 Excerpt
Highly Influenced

Local Sensitivity Approximations for Selectivity Bias,

J. Copas, S. Eguchi
Journal of the Royal Statistical Society, Ser. B, • 2001
View 1 Excerpt
Highly Influenced

Sensitivity Analysis for Selection Bias and Unmeasured Confounding in Missing Data and Causal Inference Models,

J. M. Robins, A. Rotnitzky, D. Scharfstein
Statistical Models in Epidemiology, • 1999
View 1 Excerpt
Highly Influenced

Using Omitted Variable Bias to Assess Uncertainty in the Estimation of an AIDS Education Treatment Effect,

S. M. Marcus
Journal of Educational and Behavioral Statistics, • 1997
View 1 Excerpt
Highly Influenced

Methods for Assessing the Sensitivity of Comparisons in Title VII Cases to Omitted Variables,

J. L. Gastwirth
Jurimetrics Journal, • 1992
View 1 Excerpt
Highly Influenced

A Multiplist Strategy for Strengthening Nonequivalent Control Group Designs,

K. D. Reynolds, S. G. West
Evaluation Review, • 1987
View 1 Excerpt
Highly Influenced

Pattern Matching, Validity and Conceptualization in Program Evaluation,

W.M.K. Trochim
Evaluation Review, • 1985
View 1 Excerpt
Highly Influenced

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