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Linear probability and proportional hazard regression

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Journal Article
Demography (2022) 59 (5): 1911–1928.
Published: 01 October 2022
... 2022 This is an open access article distributed under the terms of a Creative Commons license (CC BY-NC-ND 4.0). Data-generating function Difference-in-differences estimation Dynamic response to treatment Linear probability and proportional hazard regression Unilateral and no-fault divorce...
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Includes: Supplementary data
Journal Article
Demography (1986) 23 (4): 607–620.
Published: 01 November 1986
... probability of failure in an interval, given survival up to that interval, can be expressed as a linear function of a time interval parameter and regression parameters. The regression parameters in a complementary log-log linear model for grouped failure time data, when exponentiated, have a relative risk...
Journal Article
Demography (1984) 21 (4): 683–686.
Published: 01 November 1984
.... Associated Increment to Regression Coefficient! Mean Breastfeeding Duration Standard Error Proportional Ordinary Proportional Ordinary Attribute Hazards Model Linear Regression Hazards Model Linear Regression Base -1.2 -0.3 Parity 3-4 +0.4 +1.2 2.3 2.2 Parity 5+ +6.5 +4.2 6.8 6.4 Primary school -1.5 -1.8 1.6...
Journal Article
Demography (1994) 31 (2): 297–319.
Published: 01 May 1994
... for each possible combination of the covariates. Second, insofar as the regression models (Eq. (6)) are linear in the logarithms of the transition probabilities, they may be regarded as an extension of the exponential smoothing of Rogers et al. (1990) to the analysis of individual-level data. Third, like...
Journal Article
Demography (2008) 45 (4): 875–883.
Published: 01 November 2008
... the possibility of col- linearity between the interaction term and one or both of the main effect terms for parental divorce or marriage cohort. Note also that the estimated logistic regression coef cients for marriage cohort are small, negative, and not statistically signi cant ( = 0.003, without interaction...
Journal Article
Demography (2022) 59 (3): 1117–1142.
Published: 01 June 2022
... to examine the relationship between birth intervals and short- and long-term outcomes: preterm birth, low birth weight (LBW), infant mortality, college degree attainment, occupational status, and adult mortality. Using linear regression, linear probability models, and survival analysis, we compare results...
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Includes: Supplementary data
Journal Article
Demography (2010) 47 (4): 1053–1077.
Published: 01 November 2010
... errors of Sullivan estimates under the linear method for computing person- years lived can be obtained by using the binomial variance of the health proportions (see Molla, Wagener, and Madans 2001): ( ( )) ( ) 1 [ ( ) ( ( ) (1 ( / ( ),e x l x L a a a N a2 2 h h h a x #.m / /< t = / 1056 Demography...
Journal Article
Demography (1988) 25 (2): 249–263.
Published: 01 May 1988
...) the Brass system of model life tables and the proportional-hazard mortality model and apply a logit version of the model to analyze the determinants of child mortality in Sri Lanka. 30 12 2010 © Population Association of America 1988 1988 Survival Probability Life Table Fertility Survey...
Journal Article
Demography (1985) 22 (3): 445–454.
Published: 01 August 1985
.... The likely association between the two is a positive one; however, the sign of the relationship does not affect the outcome of the procedure. A linear probability model describing the probability of observing a numeric answer is: Ai = ViD + Wi' (6) The "Up to God" Response and Sample Selection Bias 447...
Journal Article
Demography (1981) 18 (2): 181–200.
Published: 01 May 1981
... Information. Biometrics 32:587-597. 1980. The Analysis of Rates and of Survi- vorship using Log-Linear Models. Biometrics 36:299-305. Kay, R. 1977. Proportional Hazard Regression Models and the Analysis of Censored Survival Data. Applied Statistics 26:227-237. Laird, Nan and Donald Olivier. 1979. Covariance...
Journal Article
Demography (1985) 22 (1): 73–88.
Published: 01 February 1985
... use of censored data and thus controlling for censoring bias. The proportional hazards model ex- presses the logarithm of the instanta- neous occurrence rates (hazard rates) as a linear function of a set of independent variables or covariates. Specifically, the model takes the form: A(t, Z) = AO(t...
Journal Article
Demography (2022) 59 (4): 1459–1488.
Published: 01 August 2022
... are likely. Demographers using logistic regression because their outcome event probabilities are close to zero or one (and, thus, linear probability models might predict probabilities outside the [0,1] range) should also take note: their effect heterogeneity is likely to flip signs across the odds-ratio...
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Includes: Supplementary data
Journal Article
Demography (2018) 55 (3): 929–955.
Published: 21 May 2018
... , where log h i ( t ) is the log hazard of mortality, α j is the fixed effect for sibling group j , and the index ij refers to the individual i in sibling group j . As with the linear regression analyses, PBI i is entered into the model as a series of 16 dummy variables based on six-month...
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Includes: Supplementary data
Journal Article
Demography (1995) 32 (2): 139–157.
Published: 01 May 1995
... in the coefficients from the micro-level regression is assumed to be explained fully by the ethnicity variables. Estimating such fixed-effects models with conventional logistic regression poses no special problems. When the error term is not suppressed, Eq. (Ic) violates general linear-model assumptions about...
Journal Article
Demography (1983) 20 (1): 1–26.
Published: 01 February 1983
..., February 1983 York: John Wiley. Kay, R. 1977. Proportional Hazard Regression Models and the Analysis of Censored Survival Data. Applied Statistics 26:227-237. Laird, Nan and Donald Olivier. 1981. Covariance Analysis of Censored Survival Data Using Log- Linear Analysis Techniques. Journal of the American...
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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Journal Article
Demography (2016) 53 (4): 1135–1168.
Published: 08 July 2016
... regression results with controls for gender and birth year. Columns 3 and 4 report linear fixed-effects regressions. ** p &lt; .01 Our finding of a positive association between birth weight and schooling raises some concerns about our main results. If birth weight is also positively related...
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Journal Article
Demography (2009) 46 (1): 65–83.
Published: 01 February 2009
... than in the unconstrained model. Together, these parameters generate the baseline fertil- ity hazard for women aged 25 to 34 in the multivariate regression model. Improvements in the baseline fertility hazard will be important for the researcher when predicted birth probabilities are needed.2...
Journal Article
Demography (1981) 18 (2): 217–230.
Published: 01 May 1981
... the logarithmic transform of the cell death rate is predicted by a linear function of the set of predictor variables. Third, we present procedures for model testing and parameter estimation. To avoid cumbersome notation, we will suppress subscripts corresponding to de- mographic categories, retaining only...
Journal Article
Demography (2019) 56 (5): 1765–1790.
Published: 07 October 2019
... residual inclusion (2SRI) approach, which is identical to the 2SLS in a linear setting, has been shown to yield consistent estimates (Atiyat 2011 ; Terza et al. 2008 ). Unlike the 2SLS, in the second stage of the 2SRI regression, both the first-stage residuals, S v i , and the endogenous...
FIGURES
Includes: Supplementary data