亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Quantifying the Family Frailty Effect in Infant and Child Mortality by Using Median Hazard Ratio (MHR)

社会经济地位 危险系数 人口学 人口 多级模型 生命历程法 危害 比例危险模型 老年学 心理学 统计 医学 社会学 置信区间 数学 发展心理学 有机化学 化学
作者
Tommy Bengtsson,Martin Dribe
出处
期刊:Historical Methods: A Journal of Quantitative and Interdisciplinary History [Informa]
卷期号:43 (1): 15-27 被引量:29
标识
DOI:10.1080/01615440903270299
摘要

Abstract Most microlevel studies in the social sciences have focused on the impact of different measured variables. While some studies have also dealt with unobserved variation, it has usually only been controlled for to perfect the estimates of the observables. In this article, the authors applied a modified version of a recently developed method designed to quantify the effect of unobserved variation in continuous time multilevel models, called a median hazard ratio. It allows a direct comparison of the effect of unobserved heterogeneity with standard relative risks. The method is used in an analysis of infant and child mortality in southern Sweden during the period 1766–1895. The empirical findings indicate that unmeasured differences between families were more important than either socioeconomic status or gender throughout this period. Keywords: child mortalityfamily clusteringfrailtyinfant mortalitymedian hazard ratiosmedian odds ratios (MORs)multilevel analysisunobserved heterogeneity Notes The main text was written by Tommy Bengtsson and Martin Dribe. The appendix was written by Jan Lanke. Martin Dribe acknowledges financial support from the Swedish Council for Working Life and Social Research. We are grateful to Juan Merlo at Lund University and Klaus Larsen at the Hvidovre University Hospital for guidance regarding the MHR. We also thank Göran Broström, Jim Oeppen, and participants at the IUSSP workshop Space and Time in Historical Demographic Research: New Methods and Models (Minnesota Population Center), the Social Science History Association, CitationMinneapolis, MN, 2006, and the Population Association of America, New York, 2007, for comments on previous versions of this article. 1. The estimations were made using the eha package in R (R Development Core Team 2006).The eha package was developed by Göran Broström at Umeå University, Sweden. 2. The data is maintained by the Scanian Demographic Database, a collaborative project between the Regional Archives in Lund and the Centre for Economic Demography, Lund University. The source material is described in Elisabeth Reuterswärd and CitationFranceska Olsson (1993), and the quality of data is analyzed in Tommy Bengtsson and CitationChrister Lundh (1991). 3. We have used 1/16 mantal (a rough measure of the productive potential of the farm) as the limit of subsistence, which is also the way the contemporary society defined it (see CitationDribe 2000, chap. 2 for a discussion).

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
开心每一天完成签到 ,获得积分10
7秒前
房天川完成签到 ,获得积分10
8秒前
量子星尘发布了新的文献求助10
22秒前
33秒前
51秒前
杨泽宇发布了新的文献求助10
54秒前
日常K人完成签到 ,获得积分10
1分钟前
科研通AI2S应助科研通管家采纳,获得10
1分钟前
科研通AI2S应助科研通管家采纳,获得10
1分钟前
量子星尘发布了新的文献求助10
1分钟前
SnowElf完成签到,获得积分10
1分钟前
1分钟前
hongye发布了新的文献求助30
1分钟前
SnowElf发布了新的文献求助10
1分钟前
1分钟前
1分钟前
orangel发布了新的文献求助10
1分钟前
hongye完成签到 ,获得积分10
2分钟前
小粒橙完成签到 ,获得积分10
2分钟前
2分钟前
2分钟前
HaoZhang发布了新的文献求助10
2分钟前
HaoZhang完成签到,获得积分20
2分钟前
尼古拉斯铁柱完成签到 ,获得积分10
3分钟前
矜持完成签到 ,获得积分10
3分钟前
Mic应助笑点低的斑马采纳,获得10
3分钟前
lixuebin发布了新的文献求助10
3分钟前
4分钟前
小白发布了新的文献求助10
4分钟前
科研通AI2S应助科研通管家采纳,获得10
5分钟前
5分钟前
嗨嗨嗨完成签到 ,获得积分10
6分钟前
胖小羊完成签到 ,获得积分10
6分钟前
7分钟前
桥西小河完成签到 ,获得积分10
7分钟前
脑洞疼应助怕孤独的怀莲采纳,获得30
7分钟前
SUNny发布了新的文献求助10
8分钟前
有米爱吃又桂卷完成签到,获得积分10
8分钟前
量子星尘发布了新的文献求助10
8分钟前
8分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Binary Alloy Phase Diagrams, 2nd Edition 8000
Building Quantum Computers 800
Translanguaging in Action in English-Medium Classrooms: A Resource Book for Teachers 700
Natural Product Extraction: Principles and Applications 500
Exosomes Pipeline Insight, 2025 500
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5664503
求助须知:如何正确求助?哪些是违规求助? 4863764
关于积分的说明 15107879
捐赠科研通 4823133
什么是DOI,文献DOI怎么找? 2581988
邀请新用户注册赠送积分活动 1536081
关于科研通互助平台的介绍 1494505