Skip Nav Destination
Close Modal
1-20 of 1290 Search Results for
Random-effects models
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
1
Image
Published: 12 June 2019
Fig. 6 Net parity effects of models with shared frailty (5 % and 10 % random sample). Coefficients for net parity with 95 % confidence intervals from estimates in columns 2 and 4 of Table 3 . Point estimates of the two models are not aligned along the x -axis for visual purposes.
More
Journal Article
Demography (1993) 30 (1): 33–43.
Published: 01 February 1993
...Siân L. Curtis; Ian Diamond; John W. McDonald Abstract In this paper random-effects logistic models are used to analyze the effects of the preceding birth interval on postneonatal mortality in Brazil, controlling for the correlation of survival outcomes between siblings. The results are compared...
Journal Article
Demography (2003) 40 (2): 309–331.
Published: 01 May 2003
... of the education-health relationship may vary in their relevance to health across the life course. Using basic regression analyses and random-effects models of two national data sets, I find that the effect of education strengthens across age, that this pattern is becoming stronger across cohorts...
Journal Article
Demography (1991) 28 (4): 619–637.
Published: 01 November 1991
... the distribution of frailty or the shape of the underlying hazard. The procedure then is used to show that cohort mortality data from France are consistent with a generalized random-effects model in which frailty is gamma-distributed. nt]mis|Initial stages of this work were carried out at the University...
Journal Article
Demography (2014) 51 (2): 535–561.
Published: 25 March 2014
...–2008, we examined how declining total fertility and women’s increasing median age at first birth were associated with changes in girls’ well-being and gender gaps in children’s well-being, as reflected in their survival, nutrition, and access to preventive healthcare. In adjusted random-effects models...
FIGURES
Journal Article
Demography (1993) 30 (3): 477–488.
Published: 01 August 1993
... on neonatal mortality are stronger when the preceding child has survived the neonatal period than when it has died. Transitional (Markov), random-effects, and marginal models for correlated data are introduced, and are contrasted in interpretation and technique. Familial association of neonatal mortality can...
Journal Article
Demography (2018) 55 (1): 59–82.
Published: 27 December 2017
... . Laird , N. M. , & Ware , J. H. ( 1982 ). Random-effects models for longitudinal data . Biometrics , 38 , 963 – 974 . 10.2307/2529876 . Lareau , A. ( 2011 ). Unequal childhoods: Class, race, and family life ( 2nd ed.). Berkeley : University of California Press...
Image
Published: 19 May 2020
exposure model: Diffusion-related variables are community averages excluding the target individual. The method corrects for bias at the individual level but not at the community level. Correlated random - effects model: Diffusion-related variables are the individual’s recall of program variables
More
Image
in At the Intersection of Adverse Life Course Pathways: The Effects on Health by Migration Status
> Demography
Published: 01 June 2024
Fig. 2 Age trajectories of self-rated health (SRH), with and without the adverse event of divorce, by migration status and sex, from random-effects models. Panel a: men who never divorced during the observation period; panel b: men who divorced at least once; panel c: women who never divorced
More
Journal Article
Demography (1997) 34 (1): 31–48.
Published: 01 February 1997
... with methods of quantitative genetics and genetic epidemiology. It allows us to analyze the genetic structure of frailty in the Cox-type hazard model with random effects. We demonstrate the implementation of this strategy to survival data on Danish twins. We then evaluate the resulting lower bounds...
Image
in At the Intersection of Adverse Life Course Pathways: The Effects on Health by Migration Status
> Demography
Published: 01 June 2024
Fig. 1 Age trajectories of self-rated health (SRH), with and without the adverse event of job loss, by migration status and sex, from random-effects models. Panel a: men who never experienced job loss during the observation period; panel b: men who experienced job loss at least once; panel c
More
Journal Article
Demography (2011) 48 (1): 267–290.
Published: 23 February 2011
... developed and developing countries) over the period 1955–2003. By applying finite mixture regression models, principal component analysis, and random-effects panel regression models, we find that (1) the negative correlation between the initial adulthood mortality rate and the rate of increase in mortality...
FIGURES
| View All (9)
Journal Article
Demography (2013) 50 (2): 447–469.
Published: 17 October 2012
...) for school j in district k ; and e ijk is a Level l (student) random effect. For college entrance exam (CSAT) scores, we use three-level hierarchical linear models to take into account the nested structure of the data: individual students are nested within schools, which are in turn nested...
Journal Article
Demography (2017) 54 (3): 961–983.
Published: 21 April 2017
... and wealth. Using unique data from the German Socio-Economic Panel Study (2002, 2007, and 2012), I apply random-effects and fixed-effects regression models to test my expectations. I find that both women and men experience substantial marriage wealth premiums not only in household wealth but also in personal...
FIGURES
Includes: Supplementary data
Image
in Integrating Space With Place in Health Research: A Multilevel Spatial Investigation Using Child Mortality in 1880 Newark, New Jersey
> Demography
Published: 25 April 2014
Fig. 5 Mean Bayesian posterior estimates of nonspatial (σ u ) and spatial (σ s ) random effects from multilevel spatial models
More
Journal Article
Demography (1968) 5 (1): 268–305.
Published: 01 March 1968
... which were not accounted for by the model up to this point. The auto-correlation function provides a measure of the dependence of the population size p* for any year upon past values of p*; it has the distinct feature of lifting any regular pattern possibly present in the data above the level of random...
Journal Article
Demography (2020) 57 (1): 243–266.
Published: 06 January 2020
... statistical data sets (SSD) of Statistics Netherlands, we identify two networks—the network of colleagues at the workplace and the network of siblings in the family—to examine the influence of network partners on individual fertility decisions. Discrete-time event-history models with random effects provide...
FIGURES
| View All (7)
Includes: Supplementary data
Journal Article
Demography (1990) 27 (1): 81–95.
Published: 01 February 1990
... from the failure to examine the determinants of mobility over varying time frames and housing tenures. Using survey data for a random sample of 580 Phoenix-area households, we test models of short-term (l year) and long-term (5 years) mobility expectations for home owners and renters. The results show...
Journal Article
Demography (2008) 45 (4): 763–784.
Published: 01 November 2008
.... Another implication of this individual-speci c de nition of causation is that treatment effects may well be heterogeneous and vary systematically across population subgroups. I elaborate more on this point later. 18. Random assignment the so-called gold standard of causal modeling does not solve...
Journal Article
Demography (2013) 50 (1): 181–206.
Published: 14 September 2012
... data set that covers the 1996–2007 period. Besides age and marital status, the model includes as covariates individual and spouse’s income as well as a random individual specific effect. It thus allows for dynamic selection based on both observed and unobserved characteristics. We find that conditional...
1
