{"title":"19世纪末和20世纪初的死因分类:德国婴儿死亡率案例。","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":"{\"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}","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
摘要
使用19世纪德国的数据对历史人口死亡原因研究的方法学问题进行了检查。主要关注的问题是,当州和国家统计局同时或依次使用不同死因分类时,如何协调数据。提出的统一方案是基于塞缪尔·普雷斯顿(Samuel H. Preston)提出的广泛的死因组,从流行病学角度来看,这些组是不同的,相互排斥的。(注释)
Classifying causes of death during the late nineteenth and early twentieth centuries: the case of German infant mortality.
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.