Literature DB >> 11318214

Reduced sensitivity to hidden bias at upper quantiles in observational studies with dilated treatment effects.

P R Rosenbaum1.   

Abstract

When a treatment has a dilated effect, with larger effects when responses are higher, there can be much less sensitivity to bias at upper quantiles than at lower quantiles; i.e., small, plausible hidden biases might explain the ostensible effect of the treatment for many subjects, and yet only quite large hidden biases could explain the effect on a few subjects having dramatically elevated responses. An example concerning kidney function of cadmium workers is discussed in detail. In that example, the treatment effect is far from additive: It is plausibly zero at the lower quartile of responses to control, and it is large and fairly insensitive to bias at the upper quartile.

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Year:  1999        PMID: 11318214     DOI: 10.1111/j.0006-341x.1999.00560.x

Source DB:  PubMed          Journal:  Biometrics        ISSN: 0006-341X            Impact factor:   2.571


  2 in total

1.  Comparing Resource Use in Medical Admissions of Children With Complex Chronic Conditions.

Authors:  Jeffrey H Silber; Paul R Rosenbaum; Samuel D Pimentel; Shawna Calhoun; Wei Wang; James E Sharpe; Joseph G Reiter; Shivani A Shah; Lauren L Hochman; Orit Even-Shoshan
Journal:  Med Care       Date:  2019-08       Impact factor: 2.983

2.  Semiparametric models and inference for the effect of a treatment when the outcome is nonnegative with clumping at zero.

Authors:  Jing Cheng; Dylan S Small
Journal:  Biometrics       Date:  2020-09-22       Impact factor: 2.571

  2 in total

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