TY - JOUR
T1 - Brass' relational model
T2 - A statistical analysis
AU - Stewart, Quincy Thomas
N1 - Funding Information:
1This work won a Blue Ribbon Award at the 2001 Population Association of America Meetings in Washington, DC. Funding for this research was partially provided by NIMH 1R01MH58009-01. I would like to thank Jason Cummings, Douglas Ewbank, Kenneth Hill, David James, Douglas Massey, Samuel Preston, Tukufu Zuberi, and two anonymous reviewers for comments on earlier drafts. Direct correspondence to: Quincy Thomas Stewart, Indiana University, Department of Sociology, Ballantine Hall 744, 1020 East Kirkwood Avenue, Bloomington, Indiana 47405-7103 or E-mail: [email protected].
PY - 2004/1
Y1 - 2004/1
N2 - Brass' relational model is based on a linear relationship between the logits of the cumulative probability of dying before age x in a standard mortality distribution and those observed in any population. In this study the appropriate way to estimate the linear parameters associated with Brass' model is clarified. Five methods are presented to estimate the coefficients associated with Brass' relational model. Each method is applied to simulated data to examine the efficiencies of each model in mortality estimation.
AB - Brass' relational model is based on a linear relationship between the logits of the cumulative probability of dying before age x in a standard mortality distribution and those observed in any population. In this study the appropriate way to estimate the linear parameters associated with Brass' model is clarified. Five methods are presented to estimate the coefficients associated with Brass' relational model. Each method is applied to simulated data to examine the efficiencies of each model in mortality estimation.
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U2 - 10.1080/08898480490422329
DO - 10.1080/08898480490422329
M3 - Article
AN - SCOPUS:27844520239
SN - 0889-8480
VL - 11
SP - 51
EP - 72
JO - Mathematical Population Studies
JF - Mathematical Population Studies
IS - 1
ER -