2022
DOI: 10.1007/s10552-022-01597-4
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Gender disparities in incidence and projections of lung cancer in China and the United States from 1978 to 2032: an age-period-cohort analysis

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Cited by 3 publications
(1 citation statement)
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“…This study used a Bayesian annual percentage change (BAPC) model to make predictions of standardized mortality in AD and other dementias with high BMI. In Bayesian inference, uncertainty about all unknown parameters is considered, and for this study, non-informative priors were employed [ 21 ]. The BAPC model is generally based on Poisson regression models, treating the age effect as a row variable, the period effect as a column variable, and the cohort effect as a cross-effect of the age effect and the period effect to construct a three-factor model of age, period, and cohort [ 22 ].…”
Section: Methodsmentioning
confidence: 99%
“…This study used a Bayesian annual percentage change (BAPC) model to make predictions of standardized mortality in AD and other dementias with high BMI. In Bayesian inference, uncertainty about all unknown parameters is considered, and for this study, non-informative priors were employed [ 21 ]. The BAPC model is generally based on Poisson regression models, treating the age effect as a row variable, the period effect as a column variable, and the cohort effect as a cross-effect of the age effect and the period effect to construct a three-factor model of age, period, and cohort [ 22 ].…”
Section: Methodsmentioning
confidence: 99%