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Baseline Hazard
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Journal Article
Demography (1993) 30 (1): 1–32.
Published: 01 February 1993
..., the gamma variance, is 0, implying that all families have the same risk, R(t) will be the constant eX (3 and the model will be a standard proportional hazards model. A larger <l> - 1 will imply a greater departure from proportionality. This departure depends heavily on the size of the baseline hazard...
Journal Article
Demography (1986) 23 (4): 607–620.
Published: 01 November 1986
...Ian D. Diamond; John W. McDonald; Iqbal H. Shah 12 1 2011 © Population Association of America 1986 1986 Hazard Function Rural Dweller Baseline Hazard Function Accelerate Failure Time Model Failure Time Data References Albert , A. , & Anderson , J...
Journal Article
Demography (2014) 51 (3): 881–893.
Published: 04 February 2014
.... The inclusion of unobserved heterogeneity in the model leads to some changes in the shape of the baseline risk; however, the rising-falling pattern of the divorce risk persists. 20 12 2013 4 2 2014 © Population Association of America 2014 2014 Divorce Marriage Multilevel hazard models...
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Includes: Supplementary data
Journal Article
Demography (2022) 59 (5): 1911–1928.
Published: 01 October 2022
... start of marriage, u = t − t 0 marital duration, r 0 the so-called baseline hazard, I ( t ) a time-varying dummy variable equal to 1 in the posttreatment period, and d d h z the hazard difference-in-differences estimator. If treatment and treatment...
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Includes: Supplementary data
Journal Article
Demography (1990) 27 (2): 267–284.
Published: 01 May 1990
... are fairly robust to the allowance for parametric or nonparametric heterogeneity in the proportional-hazard models. 13 1 2011 15 7 1989 15 11 1989 © Population Association of America 1990 1990 Hazard Function Risk Index Unobserved Heterogeneity Baseline Hazard Veteran...
Journal Article
Demography (2016) 53 (4): 1135–1168.
Published: 08 July 2016
... extended Cox models allowing for each twin pair to have a separate baseline hazard. Such models, sometimes referred to as stratified partial likelihood (SPL) models (which is a terminology we’ll use henceforth), allow us to eliminate the influence of omitted variables operating at the twin pair level. 14...
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in Hazard Versus Linear Probability Difference-in-Differences Estimators for Demographic Processes
> Demography
Published: 01 October 2022
Fig. 4 Approximate normality by sample size of estimates of d d h z . The simulated data were generated according to the proportional hazard DD in Eq. (3) , with the baseline hazard r 0 ( u ) set equal to a constant λ = 0.008; the regression coefficients b 1
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Journal Article
Demography (1996) 33 (3): 357–374.
Published: 01 August 1996
...- neity. The principal advantage of this approach is that we can check the robustness of the results against different as- sumptions concerning the parametric form of the baseline hazard and the presence of unobserved heterogeneity. Com- parisons of the fit of the models are based on the Bayesian...
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Published: 01 April 2022
Fig. 2 Estimated a 1 0 and 95% confidence intervals for different mortality risk factors and shares of premature birth. Results are from 1,000 simulations of 10,000 births with baseline hazards for preterm and full-term births fitted to the U.S. population in 2012. Note
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Published: 01 April 2022
Fig. 2 Estimated a 1 0 and 95% confidence intervals for different mortality risk factors and shares of premature birth. Results are from 1,000 simulations of 10,000 births with baseline hazards for preterm and full-term births fitted to the U.S. population in 2012. Note
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Published: 01 April 2022
Fig. 2 Estimated a 1 0 and 95% confidence intervals for different mortality risk factors and shares of premature birth. Results are from 1,000 simulations of 10,000 births with baseline hazards for preterm and full-term births fitted to the U.S. population in 2012. Note
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Journal Article
Demography (2009) 46 (2): 371–386.
Published: 01 May 2009
... With Flexible Baseline Hazards . Applied Statistics , 42 , 63 – 83 . 10.2307/2347410 Nicas M. , & Sun G. ( 2006 ). An Integrated Model of Infection Risk in a Health-Care Environment . Risk Analysis , 26 , 1085 – 96 . 10.1111/j.1539-6924.2006.00802.x Norton E.C. ( 1992...
Journal Article
Demography (2011) 48 (1): 49–72.
Published: 03 February 2011
... ( t ) is the observed vector of explanatory variables, β j is the vector of corresponding parameters to be estimated, and α j ( t ) describes the variation in the baseline hazard, which captures the destination-specific duration dependence. We specify the baseline hazard as piecewise constant...
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Journal Article
Demography (2010) 47 (2): 313–326.
Published: 01 May 2010
... spouse is detrimental for both sexes. 27 1 2011 © Population Association of America 2010 2010 Baseline Hazard Target Person Mortality Differential Income Register Cation Number An erratum to this article is available at http://dx.doi.org/10.1007/BF03213768 . References...
Journal Article
Demography (2017) 54 (1): 3–22.
Published: 09 January 2017
... to at each point of analysis time, and each event consequently has a separate event-specific baseline hazard. Onset of risk occurs when the woman has her second child and becomes at risk of giving birth to a third child. Subjects enter the risk sets for the following events 4–8 at the time they experience...
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Journal Article
Demography (2020) 57 (6): 2169–2198.
Published: 15 September 2020
... , where h ( t|X 1 , . . . , X k ) is the hazard rate for individuals with characteristics X 1 , . . . , X k at time t ; h 0 ( t ) is the baseline hazard at time t ; and β j , j = 1, . . . , k are the estimated coefficients. The failure event in our analysis is the death of the index...
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Includes: Supplementary data
Journal Article
Demography (2022) 59 (3): 1117–1142.
Published: 01 June 2022
... k β j X j ( t ) ) , (5) where h ( t | X 1 , . . . , X k ) is the hazard rate for individuals with characteristics X 1 , . . . , X k at time t ; h 0 ( t ) is the baseline hazard at time t...
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Includes: Supplementary data
Journal Article
Demography (1988) 25 (3): 317–335.
Published: 01 August 1988
... Administration, 1982). Estimating the Proportional-Hazard Model The proportional-hazard model of Cox and Oakes (1984) is given by h(t, z) = h(z) ha(t), where hJt) is the baseline hazard function and the z are covariates. We assume that the effect of the covariates on the hazard function is log-linear. Since...
Journal Article
Demography (2020) 57 (6): 2297–2325.
Published: 29 October 2020
... the complementary log-log model, a discrete-time proportional hazards model (Jenkins 1995 ): (2) log − log 1 − h it = θ t + β X it . The term θ ( t ) is a series of dummy variables for the years of age (baseline hazard). 2 The estimated coefficients, β, when transformed...
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Journal Article
Demography (2017) 54 (2): 413–436.
Published: 09 March 2017
...-century. We stratify also by quarter-century to allow the baseline hazard to vary over time. 16 By using variation in birth spacing within families, we find that the speed of a successive conception decreases monotonically with net parity, meaning that the spacing of births increases...
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Includes: Supplementary data
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