{"title":"用事件历史方法分析家庭结构的后果。","authors":"Cornell Ll","doi":"10.1080/01615440.1990.10594195","DOIUrl":null,"url":null,"abstract":"Problems associated with the application of statistical methods and model building to the analysis of historical demographic data are examined with particular reference to data from population registers. \"The object of this paper is to present a set of statistical models--generally termed event-history or proportional-hazards models--that not only deal effectively with the kind of data that the population registers make available but for which the population registers are one of the best existing data sets.\" The models are tested using data from Japanese population registers. (EXCERPT)","PeriodicalId":45535,"journal":{"name":"Historical Methods","volume":null,"pages":null},"PeriodicalIF":1.6000,"publicationDate":"1990-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/01615440.1990.10594195","citationCount":"1","resultStr":"{\"title\":\"Analyzing the consequences of family structure with event-history methods.\",\"authors\":\"Cornell Ll\",\"doi\":\"10.1080/01615440.1990.10594195\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Problems associated with the application of statistical methods and model building to the analysis of historical demographic data are examined with particular reference to data from population registers. \\\"The object of this paper is to present a set of statistical models--generally termed event-history or proportional-hazards models--that not only deal effectively with the kind of data that the population registers make available but for which the population registers are one of the best existing data sets.\\\" The models are tested using data from Japanese population registers. (EXCERPT)\",\"PeriodicalId\":45535,\"journal\":{\"name\":\"Historical Methods\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.6000,\"publicationDate\":\"1990-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1080/01615440.1990.10594195\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Historical Methods\",\"FirstCategoryId\":\"98\",\"ListUrlMain\":\"https://doi.org/10.1080/01615440.1990.10594195\",\"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/10.1080/01615440.1990.10594195","RegionNum":2,"RegionCategory":"历史学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HISTORY","Score":null,"Total":0}
Analyzing the consequences of family structure with event-history methods.
Problems associated with the application of statistical methods and model building to the analysis of historical demographic data are examined with particular reference to data from population registers. "The object of this paper is to present a set of statistical models--generally termed event-history or proportional-hazards models--that not only deal effectively with the kind of data that the population registers make available but for which the population registers are one of the best existing data sets." The models are tested using data from Japanese population registers. (EXCERPT)
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.