Evaluating Methods to Estimate United States Multiple Sclerosis Prevalence from Administrative Health Claims Data

Summary

Evaluating Methods to Estimate United States Multiple Sclerosis Prevalence from Administrative Health Claims Data is a written work^[1].

Key Facts

• Evaluating Methods to Estimate United States Multiple Sclerosis Prevalence from Administrative Health Claims Data authored Edward E Neuberger^[2].
• Evaluating Methods to Estimate United States Multiple Sclerosis Prevalence from Administrative Health Claims Data's instance of is recorded as written work^[3].
• Evaluating Methods to Estimate United States Multiple Sclerosis Prevalence from Administrative Health Claims Data's instance of is recorded as master's thesis^[4].
• Evaluating Methods to Estimate United States Multiple Sclerosis Prevalence from Administrative Health Claims Data's OCLC number is recorded as 1114485655^[5].
• Evaluating Methods to Estimate United States Multiple Sclerosis Prevalence from Administrative Health Claims Data's language of work or name is recorded as English^[6].
• +2019-00-00T00:00:00Z marks the founding of Evaluating Methods to Estimate United States Multiple Sclerosis Prevalence from Administrative Health Claims Data^[7].
• Evaluating Methods to Estimate United States Multiple Sclerosis Prevalence from Administrative Health Claims Data's work available at URL is recorded as http://hdl.handle.net/1773/43945^[8].
• Evaluating Methods to Estimate United States Multiple Sclerosis Prevalence from Administrative Health Claims Data's Handle ID is recorded as 1773/43945^[9].
• Evaluating Methods to Estimate United States Multiple Sclerosis Prevalence from Administrative Health Claims Data's title is recorded as Evaluating Methods to Estimate United States Multiple Sclerosis Prevalence from Administrative Health Claims Data^[10].
• Evaluating Methods to Estimate United States Multiple Sclerosis Prevalence from Administrative Health Claims Data's thesis submitted to is recorded as University of Washington^[11].
• Evaluating Methods to Estimate United States Multiple Sclerosis Prevalence from Administrative Health Claims Data's on focus list of Wikimedia project is recorded as WikiProject PCC Wikidata Pilot/University of Washington^[12].
• Evaluating Methods to Estimate United States Multiple Sclerosis Prevalence from Administrative Health Claims Data's thesis committee member is recorded as David L Veenstra^[13].

Body

Designation and Status

Recorded instance of include written work^[3] and master's thesis^[4].

History and Context

+2019-00-00T00:00:00Z marks the founding of Evaluating Methods to Estimate United States Multiple Sclerosis Prevalence from Administrative Health Claims Data^[7].