1-20 of 216 Search Results for

Linear probability and proportional hazard regression

Follow your search
Access your saved searches in your account

Would you like to receive an alert when new items match your search?
Close Modal
Sort by
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 (2022) 59 (5): 1911–1928.
Published: 01 October 2022
... Linear probability and proportional hazard regression Unilateral and no-fault divorce It is well-known that numerous issues arise when using logit or probit difference-in-differences procedures for a binary outcome ( Ai and Norton 2003 ; Athey and Imbens 2006 ; Puhani 2012 ). Heckman (1996...
FIGURES | View All (6)
Includes: Supplementary data
Journal Article
Demography (1984) 21 (4): 683–686.
Published: 01 November 1984
... 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 2.0 Middle school+ -4.8 -5.0 5.3 5.7 Urban migrant -2.8 -3.2 2.1 2.6 Lifetime urban -5.4 -5.0 5.1 5.2 Worked at home +2.9 +3.9 5.3 5.5 Worked...
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...
FIGURES | View All (7)
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
... discrete-time event-history analyses should take note, because event probabilities within each time period are typically low; thus, flipped signs are likely. Demographers using logistic regression because their outcome event probabilities are close to zero or one (and, thus, linear probability models might...
FIGURES | View All (5)
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...
FIGURES | View All (6)
Includes: Supplementary data
Journal Article
Demography (1995) 32 (2): 139–157.
Published: 01 May 1995
... : Vrije Universiteit . Liao T.F. ( 1994 ). Interpreting Probability Models: Logit, Probit and Other Generalized Linear Models . Thousand Oaks, CA. : Sage . Longford N.T. ( 1988 ). Software for Variance Components Analysis of Data with Random Nested Effects (Maximum Likelihood...
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...
FIGURES | View All (6)
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...
FIGURES
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
... of individual level Poisson processes yields the negative binomial probability function or, which 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...
Journal Article
Demography (2019) 56 (5): 1765–1790.
Published: 07 October 2019
... provides the first IV estimates of the maternal education and under-5 mortality relationship while taking into account right-censoring. We used a Cox proportional hazard model in an IV approach, and doing so affected the results. Although linear specifications—both in this and previous studies (Keats 2016...
FIGURES
Includes: Supplementary data