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Mathematical Population Studies is a peer-reviewed journal published by Taylor & Francis, covering Insurance, Mortality, Demography, Risk Management, Mathematical and Theoretical Epidemiology and Ecology Models, Diverse Scientific and Economic Studies.
| Publisher | Taylor & Francis |
|---|---|
| Reference style | Author–year (Chicago, T&F) Author–year — (Smith, 2023) in the text Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." Mathematical Population Studies 12 (3): 45–58.
Formats any DOI in Mathematical Population Studies style. No sign-up. |
| Publishes research in | Insurance, Mortality, Demography, Risk Management Mathematical and Theoretical Epidemiology and Ecology Models Diverse Scientific and Economic Studies Human auditory perception and evaluation Global Health Care Issues |
| ISSN | 0889-8480 |
| Citation impact (2-yr) | 0.93 |
| h-index | 37 |
| i10-index | 182 |
| Total citations | 6,596 |
| Top institutions publishing here | Institut national d'études démographiques |
| Journal website | www.tandfonline.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Some analytical results are given for a model that describes the propagation of a disease in a population of individuals who travel between n cities. The model is formulated as a system of 2n 2 ordinary differential equations, with terms accounting for disease transmission, recovery, birth, death, and travel between cities. The mobility component is…
Frailty models have been developed for the analysis of bivariate survival data. The notion of shared frailty in these models, however, is different from the notion of individual frailty in demographic models. Shared frailty models have important shortcomings. We develop a new model of bivariate survival based on the notion of correlated individual frailty. We…
The method of maximum likelihood is used to estimate parameterized transition probabilities of a non-homogeneous Markov chain model of movements between the health states disability-free, disabled, and death. A complication is that individuals are observed at irregular intervals, implying that particular attention must be paid to computational issues. Numerical results including estimated health expectancies and…
When Nathan Keyfitz’s Applied mathematical demography first appeared in (1977), it was instantly recognized as a classic. Few have done as much to illustrate the power of linear growth models and t...
ABSTRACT The Lee–Carter method for mortality forecasting is outlined, discussed and improved utilizing standard time series approaches. The new framework, which integrates estimation and forecasting, delivers more robust results and permits more detailed insight into underlying mortality dynamics. An application to women's mortality data illustrates the methods.
