Construct · 1 fields · 1 citations

high-dimensional propensity score: a standalone construct

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Pharmacoepidemiology

algorithm that screens many claims data codes to select proxy confounders for propensity score adjustment in drug studies.

In pharmacoepidemiology, high-dimensional propensity score refers to algorithm that screens many claims data codes to select proxy confounders for propensity score adjustment in drug studies. This meaning comes from Schneeweiss (2009) in Epidemiology.[1]

Unit
Recovery means
Measured by

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Nearby constructs

propensity score1 fields · 3 citationsanchor · a standalone construct proxy5 fields · 5 citationsjingle · one word, five constructs score2 fields · 3 citationsjingle · one word, two constructs

References

Schneeweiss, S., Rassen, J. A., Glynn, R. J., Avorn, J., Mogun, H., & Brookhart, M. A. (2009). High-dimensional Propensity Score Adjustment in Studies of Treatment Effects Using Health Care Claims Data. Epidemiology, 20(4), 512-522. https://doi.org/10.1097/ede.0b013e3181a663cc

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