Quantifying the Family Frailty Effect in Infant and Child Mortality by Using Median Hazard Ratio (MHR)
(2010) In Historical Methods 43(1). p.15-27- 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... (More)
- 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. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1753297
- author
- Bengtsson, Tommy LU and Dribe, Martin LU
- organization
- publishing date
- 2010
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- unobserved heterogeneity, multilevel analysis, median odds ratios (MORs), hazard ratios, median, infant mortality, frailty, child mortality, family clustering
- in
- Historical Methods
- volume
- 43
- issue
- 1
- pages
- 15 - 27
- publisher
- Heldref Publications
- external identifiers
-
- wos:000283881800002
- scopus:76449099530
- ISSN
- 0161-5440
- DOI
- 10.1080/01615440903270299
- language
- English
- LU publication?
- yes
- id
- feede54a-6a87-4b18-b0ba-047849482b1c (old id 1753297)
- date added to LUP
- 2016-04-01 10:12:13
- date last changed
- 2022-02-09 23:46:35
@article{feede54a-6a87-4b18-b0ba-047849482b1c, 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.}}, author = {{Bengtsson, Tommy and Dribe, Martin}}, issn = {{0161-5440}}, keywords = {{unobserved heterogeneity; multilevel analysis; median odds ratios (MORs); hazard ratios; median; infant mortality; frailty; child mortality; family clustering}}, language = {{eng}}, number = {{1}}, pages = {{15--27}}, publisher = {{Heldref Publications}}, series = {{Historical Methods}}, title = {{Quantifying the Family Frailty Effect in Infant and Child Mortality by Using Median Hazard Ratio (MHR)}}, url = {{http://dx.doi.org/10.1080/01615440903270299}}, doi = {{10.1080/01615440903270299}}, volume = {{43}}, year = {{2010}}, }