{"title":"Classifying causes of death during the late nineteenth and early twentieth centuries: the case of German infant mortality.","authors":"H. Kintner","doi":"10.1080/01615440.1986.10594168","DOIUrl":null,"url":null,"abstract":"Methodological problems concerning the study of cause of death in historical populations are examined using data from nineteenth-century Germany. The main concern is how to reconcile data when different cause of death classifications were used by state and national statistical offices either simultaneously or sequentially. The unified scheme proposed is based on broad cause of death groups developed by Samuel H. Preston which are distinct and mutually exclusive on epidemiological grounds. (ANNOTATION)","PeriodicalId":45535,"journal":{"name":"Historical Methods","volume":null,"pages":null},"PeriodicalIF":1.6000,"publicationDate":"1986-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/01615440.1986.10594168","citationCount":"23","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Historical Methods","FirstCategoryId":"98","ListUrlMain":"https://doi.org/10.1080/01615440.1986.10594168","RegionNum":2,"RegionCategory":"历史学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HISTORY","Score":null,"Total":0}
引用次数: 23
Abstract
Methodological problems concerning the study of cause of death in historical populations are examined using data from nineteenth-century Germany. The main concern is how to reconcile data when different cause of death classifications were used by state and national statistical offices either simultaneously or sequentially. The unified scheme proposed is based on broad cause of death groups developed by Samuel H. Preston which are distinct and mutually exclusive on epidemiological grounds. (ANNOTATION)
期刊介绍:
Historical Methodsreaches an international audience of social scientists concerned with historical problems. It explores interdisciplinary approaches to new data sources, new approaches to older questions and material, and practical discussions of computer and statistical methodology, data collection, and sampling procedures. The journal includes the following features: “Evidence Matters” emphasizes how to find, decipher, and analyze evidence whether or not that evidence is meant to be quantified. “Database Developments” announces major new public databases or large alterations in older ones, discusses innovative ways to organize them, and explains new ways of categorizing information.