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covariate

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Published: 01 February 2024
Fig. 4 Covariate balance before and after adjustment using the covariate balancing propensity score (CBPS) method. Bars indicate variation across imputations. The dashed vertical line represents the conventional threshold (see online appendix ). PC = primary caregiver. Nhood = neighborhood. More
Journal Article
Demography (2013) 50 (2): 521–544.
Published: 18 November 2012
...-specific mortality varies across the education groups. The bias can be reduced by assuming that the log odds of being diabetic are a linear function of the covariates and by including the integrated hazard of nondiabetic mortality as a covariate in the logistic regression model along with an interaction...
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Published: 01 April 2023
Fig. 2 Covariate balance: Standardized mean differences in selected covariates between people experiencing versus not experiencing at least one parental union transition during childhood, by racialized group (in columns) and covariate (in rows), with and without IPT weights (in plotting symbols More
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Published: 17 October 2012
Fig. 2 Graphical illustration of covariate density defined mixture of logistic regressions (CDDmlr) without any exogenous covariate as applied to birth weight and infant mortality. Results presented are for European American males in 2001. The solid lines represent the total population More
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Published: 29 November 2012
Fig. 8 Survey responses analyzed in models with distance from home as a covariate and without census block racial characteristics. Main plot shows responses grouped by research subject, with shades (colors in the online version of the article) corresponding to the pooled responses shown in inset A More
Journal Article
Demography (1994) 31 (2): 297–319.
Published: 01 May 1994
... of multiple covariates (such as sex, race, and socioeconomic status). This paper presents an approach to such an estimation based on an isomorphism between the structure of the stochastic model underlying a conventional specification of the increment-decrement life table and that of Markov panel regression...
Journal Article
Demography (1987) 24 (1): 23–41.
Published: 01 February 1987
... country and across time, assesses how demographic factors of reproduction influence the fertility history of women throughout their reproductive lives. 27 1 2011 © Population Association of America 1987 1987 Birth Order Parity Group Covariance Analysis Birth Interval Fertility...
Journal Article
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
Demography (1987) 24 (3): 395–406.
Published: 01 August 1987
.... ( 1978 ). Marital Status and Nuptiality in Canada . Ottawa : Statistics Canada . Breslow , N. E. ( 1974 ). Covariance analysis of censored survival data . Biometrics , 30 , 89 – 99 . 10.2307/2529620 Bumpass , L. L. , & Sweet , J. A. ( 1972 ). Differentials...
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Published: 21 March 2019
Fig. 4 Kink in predetermined covariates. More
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Published: 01 August 2023
Fig. 1 Conceptual model of latent transition analysis and covariates More
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Published: 01 August 2022
Fig. 1 Hypothesized causal relationships between baseline covariates ( C ) , time-varying confounders ( L t ) , neighborhood disadvantage ( A t ) , environmental lead contamination ( M t ) , cognitive ability ( Y ) , and unobserved factors More
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Published: 12 April 2013
Fig. 3 Contribution of covariates to marriage premium, 1989–2004 (birth weight, in grams). Data are from the 1989–2004 Natality Detail Files. The sample is restricted to mothers over age 18. Results are from a Gelbach decomposition of the contribution of the indicated covariates to the observed More
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Published: 01 August 2021
Fig. 4 Words with top 50 correlations with neighborhood covariates. The size of the word is proportional to the coefficient from MNIR. If the size of the word is two times larger than the other one, it means the coefficient is two times higher. More
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Published: 02 March 2016
Fig. 1 Parallel process model development. Model A includes covariance estimates between the intercept and slope within each process and cross-process covariance estimates between the intercept and slope of the alternate process. Model B adds a regression path from immediate word recall More
Journal Article
Demography (2008) 45 (4): 785–801.
Published: 01 November 2008
...Shiro Horiuchi; John R. Wilmoth; Scott D. Pletcher Abstract A demographic measure is often expressed as a deterministic or stochastic function of multiple variables (covariates), and a general problem (the decomposition problem) is to assess contributions of individual covariates to a difference...
Journal Article
Demography (2002) 39 (2): 331–351.
Published: 01 May 2002
...Jay D. Teachman Abstract Over the past quarter-century, many covariates of divorce have been identified. However, the extent to which the effects of these covariates remain constant across time is not known. In this article, I examine the stability of the effects of a wide range of divorce...
Journal Article
Demography (1991) 28 (3): 455–466.
Published: 01 August 1991
.... but it is a meaningful demographic quantity. It reflects a population’s log momentum, or the amount of growth built into a population’s nonstable age distribution. The rate at which the Kullback distance moves toward 0 is neither constant nor monotonic. At any point in time, however, it decreases by the covariance...
Journal Article
Demography (1981) 18 (2): 181–200.
Published: 01 May 1981
... of mortality is a constant (specific to that age) multiplied by a proportionality factor which is determined by the characteristics of the individual and does not change unless these covariates do. In this paper, the method is reviewed for the case where the covariates are fixed at the start of the lifetime...
Journal Article
Demography (1970) 7 (3): 349–360.
Published: 01 August 1970
... samples, we here present: the covariance matrix (where defined) of the moment estimators, methods of obtaining maximum likelihood estimates and their covariance matrix, and the variances of estimates of specified moments of the fecundability of the sample. Results were obtained for three sets of data...