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in Randomness in the Bedroom: There Is No Evidence for Fertility Control in Pre-Industrial England
> Demography
Published: 17 June 2019
Fig. 3 Spurious parity hazards from simulated data. Relative hazards from Cox models on simulated data with no parity control by construction.
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Journal Article
Bayesian estimation of hispanic fertility hazards from survey and population data*
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Demography (2009) 46 (1): 65–83.
Published: 01 February 2009
... fertility rates, and for the estimation of uncertainty about these adjustments. Compared with estimation from sample survey data only, the Bayesian constrained estimator results in much greater precision in the age pattern of the baseline fertility hazard and therefore of the predicted values for any given...
Journal Article
Proportional Hazards Life Table Models: An Illustrative Analysis of Socio-Demographic Influences on Marriage Dissolution in the United States
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Demography (1981) 18 (2): 181–200.
Published: 01 May 1981
...Jane Menken; James Trussell; Debra Stempel; Ozer Babakol Abstract The proportional hazards life table is a recently developed approach to the analysis of survival data when mortality risks vary among individuals. It assumes that at a given age (or duration since the start of a life) the force...
View articletitled, Proportional <span class="search-highlight">Hazards</span> Life Table Models: An Illustrative Analysis of Socio-Demographic Influences on Marriage Dissolution in the United States
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for article titled, Proportional <span class="search-highlight">Hazards</span> Life Table Models: An Illustrative Analysis of Socio-Demographic Influences on Marriage Dissolution in the United States
Journal Article
The determinants of the duration of contraceptive use in China: A multilevel multinomial discrete-hazards modeling approach
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Demography (1996) 33 (1): 12–23.
Published: 01 February 1996
...Fiona Steele; Ian Diamond; Duolao Wang Abstract Often in demography, individuals may change state over time for a variety of reasons. Competing-risks hazards models have been developed to model such situations. This paper describes the extension of the discrete-time competing-risks hazards model...
View articletitled, The determinants of the duration of contraceptive use in China: A multilevel multinomial discrete-<span class="search-highlight">hazards</span> modeling approach
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for article titled, The determinants of the duration of contraceptive use in China: A multilevel multinomial discrete-<span class="search-highlight">hazards</span> modeling approach
Journal Article
Natural Hazards, Disasters, and Demographic Change: The Case of Severe Tornadoes in the United States, 1980–2010
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Demography (2020) 57 (2): 653–674.
Published: 13 March 2020
...Ethan J. Raker Abstract Natural hazards and disasters distress populations and inflict damage on the built environment, but existing studies yielded mixed results regarding their lasting demographic implications. I leverage variation across three decades of block group exposure to an exogenous...
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View articletitled, Natural <span class="search-highlight">Hazards</span>, Disasters, and Demographic Change: The Case of Severe Tornadoes in the United States, 1980–2010
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for article titled, Natural <span class="search-highlight">Hazards</span>, Disasters, and Demographic Change: The Case of Severe Tornadoes in the United States, 1980–2010
Includes: Supplementary data
Journal Article
A hazards-Model analysis of the covariates of infant and child mortality in Sri Lanka
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Demography (1983) 20 (1): 1–26.
Published: 01 February 1983
...James Trussell; Charles Hammerslough Abstract The purpose of this paper is twofold: (a) to provide a complete self-contained exposition of estimating life tables with covariates through the use of hazards models, and (b) to illustrate this technique with a substan-tive analysis of child mortality...
Journal Article
Proportional hazards models for current status data: Application to the study of differentials in age at weaning in Pakistan
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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...
View articletitled, Proportional <span class="search-highlight">hazards</span> models for current status data: Application to the study of differentials in age at weaning in Pakistan
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for article titled, Proportional <span class="search-highlight">hazards</span> models for current status data: Application to the study of differentials in age at weaning in Pakistan
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Age trajectories of the mortality hazards for selected female and male coho...
Available to PurchasePublished: 10 April 2017
Fig. 1 Age trajectories of the mortality hazards for selected female and male cohorts in Sweden
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Smoothed trajectories of the mortality hazards for female (left) and male (...
Available to PurchasePublished: 10 April 2017
Fig. 3 Smoothed trajectories of the mortality hazards for female (left) and male (right) cohorts in Sweden, 1755–1920. Each curve represents hazards averaged across 15 birth cohorts
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Predicted hazards of single, cohabiting, and marital first births, adjusted...
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in Nonmarital Childbearing in Russia: Second Demographic Transition or Pattern of Disadvantage?
> Demography
Published: 11 January 2011
Fig. 2 Predicted hazards of single, cohabiting, and marital first births, adjusted only for age (estimated at age 22): Women aged 15–49. Data are from the Russian GGS
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Predicted first birth hazards by union status and level of education, adjus...
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in Nonmarital Childbearing in Russia: Second Demographic Transition or Pattern of Disadvantage?
> Demography
Published: 11 January 2011
Fig. 3 Predicted first birth hazards by union status and level of education, adjusted for age (estimated at age 22): Women aged 15–49. Data are from the Russian GGS
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in Is the Effect Larger in Group A or B? It Depends: Understanding Results From Nonlinear Probability Models
> Demography
Published: 01 August 2022
Fig. 4 Case study: The association between birth cohort and marriage hazards is more negative for Black people than White people in odds ratios (panel a) but less negative in average marginal effects (panel b)
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Sequential Cox proportional hazards models of parental criminal justice (CJ...
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in Adult Children of the Prison Boom: Family Troubles and the Intergenerational Transmission of Criminal Justice Contact
> Demography
Published: 01 February 2024
Fig. 2 Sequential Cox proportional hazards models of parental criminal justice (CJ) contact predicting child's hazard of arrest. Bars indicate 95% confidence intervals. PC = primary caregiver. Nhood = neighborhood.
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Sequential Poisson and Cox proportional hazards (PH) models of parental cri...
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in Adult Children of the Prison Boom: Family Troubles and the Intergenerational Transmission of Criminal Justice Contact
> Demography
Published: 01 February 2024
Fig. 6 Sequential Poisson and Cox proportional hazards (PH) models of parental criminal justice (CJ) contact predicting child's number of arrests and hazard of arrest, by crime type. All models use the full set of covariates; only family CJ contact and family troubles are shown. Bars indicate 95
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Poisson and Cox proportional hazards (PH) results of race- and ethnicity-sp...
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in Adult Children of the Prison Boom: Family Troubles and the Intergenerational Transmission of Criminal Justice Contact
> Demography
Published: 01 February 2024
Fig. 7 Poisson and Cox proportional hazards (PH) results of race- and ethnicity-specific effects and between-group differences in child's number of arrests and hazard of arrest. Bars indicate 95% confidence intervals.
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Published: 01 July 2019
Fig. 3 Hazards of mothers’ mortality, fathers’ mortality, and parents’ union dissolution of adults aged 25–49 in 1988 and 2013. Hazards are calculated from Brass estimation of parents’ mortalities and indirect estimation of union dissolution standardized for age distribution of respondents. Age
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Journal Article
A Hazard Model Analysis of the Covariates of Marriage Dissolution in Canada
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Demography (1987) 24 (3): 395–406.
Published: 01 August 1987
... of Failure Time Data . New York : Wiley . Martin , L. G. , Trussell , J. , Salvail , F. R. , & Shah , N. M. ( 1983 ). Co-variates of child mortality in the Philippines, Indonesia, and Pakistan: An analysis based on hazard models . Population Studies , 37 , 417 – 432...
Journal Article
Determinants of birth-interval length in the Philippines, Malaysia, and Indonesia: a hazard-model Analysis
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Demography (1985) 22 (2): 145–168.
Published: 01 May 1985
... , 585 – 618 . 10.2307/2737284 Holland B. ( 1983 ). Breastfeeding and Infant Mortality: A Hazards Model Analysis of the Case of Malaysia . Ann Arbor, Michigan : Available from University Microfilms . Leridon H. ( 1977 ). Human Fertility . Chicago : University of Chicago Press...
View articletitled, Determinants of birth-interval length in the Philippines, Malaysia, and Indonesia: a <span class="search-highlight">hazard</span>-model Analysis
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Journal Article
Hazard Versus Linear Probability Difference-in-Differences Estimators for Demographic Processes
Open Access
Demography (2022) 59 (5): 1911–1928.
Published: 01 October 2022
...Lawrence L. Wu; Fangqi Wen Abstract This study examines the properties of the linear probability difference-in-differences estimator when the data are in fact generated by a single-decrement, continuous-time hazard process. We focus on the textbook case of two groups and two periods in which...
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View articletitled, <span class="search-highlight">Hazard</span> Versus Linear Probability Difference-in-Differences Estimators for Demographic Processes
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for article titled, <span class="search-highlight">Hazard</span> Versus Linear Probability Difference-in-Differences Estimators for Demographic Processes
Includes: Supplementary data
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