Data from: Validation of an algorithm for identifying MS cases in administrative health claims datasets

Culpepper WJ, Marrie RA, Langer-Gould A, Wallin MT, Campbell JD, Nelson LM, Kaye WE, Wagner L, Tremlett H, Chen LH, Leung S, Evans C, Yao S, LaRocca NG

Date Published: February 18, 2019

DOI: https://doi.org/10.5061/dryad.4c7s325

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When using this data, please cite the original publication:

Culpepper WJ, Marrie RA, Langer-Gould A, Wallin MT, Campbell JD, Nelson LM, Kaye WE, Wagner L, Tremlett H, Chen LH, Leung S, Evans C, Yao S, LaRocca NG, (2019) Validation of an algorithm for identifying MS cases in administrative health claims datasets. Neurology 92(10): e1016-e1028. https://doi.org/10.1212/wnl.0000000000007043

Additionally, please cite the Dryad data package:

Culpepper WJ, Marrie RA, Langer-Gould A, Wallin MT, Campbell JD, Nelson LM, Kaye WE, Wagner L, Tremlett H, Chen LH, Leung S, Evans C, Yao S, LaRocca NG (2019) Data from: Validation of an algorithm for identifying MS cases in administrative health claims datasets. Dryad Digital Repository. https://doi.org/10.5061/dryad.4c7s325
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