Literature DB >> 6479395

Decomposition of the difference between two rates with hierarchical factors.

Y J Kim, D M Strobino.   

Abstract

A decomposition method for the difference between two rates when data are classified by two factors, one of which may be considered as a more direct factor than the other for the event under consideration, is presented in this paper. The two factors are treated as hierarchical and thus this method is conceptually different from the decomposition methods of Kitagawa (1955) and Das Gupta (1978), in which two factors are treated as symmetrical. Our method is shown to be a balanced version of the Cho-Retherford (1973) decomposition method. Analyses of neonatal mortality rates using our method are presented as an example.

Mesh:

Year:  1984        PMID: 6479395

Source DB:  PubMed          Journal:  Demography        ISSN: 0070-3370


  7 in total

1.  A study of infant mortality from linked records by age of mother, total-birth order, and other variables: United States, 1960 live-birth cohort.

Authors:  H M Vavra; L J Querec
Journal:  Vital Health Stat 20       Date:  1973-09

2.  A study of infant mortality from linked records by birth weight, period of gestation, and other variables.

Authors:  R J Armstrong
Journal:  Vital Health Stat 20       Date:  1972-05

3.  Effects of some factors on neonatal and postneonatal mortality. Analysis by a binary variable multiple regression method.

Authors:  F K Shah; H Abbey
Journal:  Milbank Mem Fund Q       Date:  1971-01

4.  Neonatal deaths in Alabama, 1970-1980: an analysis of birth weight- and race-specific neonatal mortality rates.

Authors:  R L Goldenberg; J L Humphrey; C B Hale; B W Boyd; J B Wayne
Journal:  Am J Obstet Gynecol       Date:  1983-03-01       Impact factor: 8.661

5.  A general method of decomposing a difference between two rates into several components.

Authors:  P Das Gupta
Journal:  Demography       Date:  1978-02

6.  The effect of maternal demographic factors on infant mortality rates. Summary of the findings of the Louisiana Infant Mortality Study. Part I.

Authors:  A B Dott; A T Fort
Journal:  Am J Obstet Gynecol       Date:  1975-12-15       Impact factor: 8.661

7.  Identifying neonatal risk factors and predicting neonatal deaths in Georgia.

Authors:  B J McCarthy; K F Schulz; J S Terry
Journal:  Am J Obstet Gynecol       Date:  1982-03-01       Impact factor: 8.661

  7 in total
  8 in total

1.  Decomposing change in life expectancy: a bouquet of formulas in honor of Nathan Keyfitz's 90th birthday.

Authors:  James W Vaupel; Vladimir Canudas Romo
Journal:  Demography       Date:  2003-05

2.  On the application of decomposition methods.

Authors:  Ashley Schempf; Stan Becker
Journal:  Am J Public Health       Date:  2006-10-03       Impact factor: 9.308

3.  Revisiting Das Gupta: refinement and extension of standardization and decomposition.

Authors:  Albert Chevan; Michael Sutherland
Journal:  Demography       Date:  2009-08

4.  A flexible approach for the decomposition of rate differences.

Authors:  T F Liao
Journal:  Demography       Date:  1989-11

5.  Components of change in adolescent fertility, 1971-1979.

Authors:  C A Nathanson; Y J Kim
Journal:  Demography       Date:  1989-02

6.  Measuring change and continuity in parity distributions.

Authors:  T W Pullum; L M Tedrow; J R Herting
Journal:  Demography       Date:  1989-08

7.  Declines in nonwhite and white neonatal mortality in Mississippi, 1975-80.

Authors:  D M Strobino; Y J Kim; B E Crawley; G A Chase; J H Salim
Journal:  Public Health Rep       Date:  1985 Jul-Aug       Impact factor: 2.792

8.  Understanding Differences in Cancer Survival between Populations: A New Approach and Application to Breast Cancer Survival Differentials between Danish Regions.

Authors:  Marie-Pier Bergeron-Boucher; Jim Oeppen; Niels Vilstrup Holm; Hanne Melgaard Nielsen; Rune Lindahl-Jacobsen; Maarten Jan Wensink
Journal:  Int J Environ Res Public Health       Date:  2019-08-26       Impact factor: 3.390

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.