Occupational data are a common source of workplace exposure and socioeconomic information in epidemiologic research. We compared the performance of two occupation coding methods, an automated software and a manual coder, using occupation and industry titles from U.S. historical records
BACKGROUND: Work circumstances can substantially negatively impact health. To explore this, large oc...
As occupational data play a crucial part in many social and economic analyses, information on the re...
In epidemiological studies, occupational exposure estimates are often assigned through linkage of jo...
Occupational data are a common source of workplace exposure and socioeconomic information in epidemi...
Objectives The standard approach to the assessment of occupational exposures is through the manual c...
Objectives The standard approach to the assessment of occupational exposures is through the manual c...
OBJECTIVES: Automatic job coding tools were developed to reduce the laborious task of manually assig...
Due to advances in computing power and the increase in coverage of longitudinal datasets in the Heal...
BackgroundCoronary heart disease and stroke are major contributors to preventable mortality. Evidenc...
BackgroundExisting datasets often lack job exposure data. Standard Occupational Classification (SOC)...
Many census occupational classification systems have been developed over the last 150 ye...
The increasing availability of digitised registration records presents a significant opportunity for...
The increasing availability of digitised registration records presents a significant opportunity for...
This article studies coding errors in occupational data, as the quality of this data is important bu...
This article studies coding errors in occupational data, as the quality of this data is important bu...
BACKGROUND: Work circumstances can substantially negatively impact health. To explore this, large oc...
As occupational data play a crucial part in many social and economic analyses, information on the re...
In epidemiological studies, occupational exposure estimates are often assigned through linkage of jo...
Occupational data are a common source of workplace exposure and socioeconomic information in epidemi...
Objectives The standard approach to the assessment of occupational exposures is through the manual c...
Objectives The standard approach to the assessment of occupational exposures is through the manual c...
OBJECTIVES: Automatic job coding tools were developed to reduce the laborious task of manually assig...
Due to advances in computing power and the increase in coverage of longitudinal datasets in the Heal...
BackgroundCoronary heart disease and stroke are major contributors to preventable mortality. Evidenc...
BackgroundExisting datasets often lack job exposure data. Standard Occupational Classification (SOC)...
Many census occupational classification systems have been developed over the last 150 ye...
The increasing availability of digitised registration records presents a significant opportunity for...
The increasing availability of digitised registration records presents a significant opportunity for...
This article studies coding errors in occupational data, as the quality of this data is important bu...
This article studies coding errors in occupational data, as the quality of this data is important bu...
BACKGROUND: Work circumstances can substantially negatively impact health. To explore this, large oc...
As occupational data play a crucial part in many social and economic analyses, information on the re...
In epidemiological studies, occupational exposure estimates are often assigned through linkage of jo...