Jutta Gampe
Biographic Data
| ID | 222247 |
|---|---|
| NAME | Jutta Gampe |
| GIVEN NAMES | Jutta |
| FAMILY NAME | Gampe |
| SIGNATURE | GAMPE J |
| AFFILIATIONS | Max Planck Institute for Demographic Research |
| ORCID | 0000-0001-8189-2853 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 26 |
| AUTHOR COUNT | 8 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2004 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 2 |
Analysis of Time-to-Event Data With Two Time Scales. An Application to Transitions out of Cohabitation
Models for time-to-event data are based on transition rates between states, and to define such hazards of experiencing an event, the time scale over which the process evolves needs to be identified. In many applications, however, more than one time scale might be of importance. Here, we demonstrate how to model a hazard jointly over two time dimensions. The model assumes a smooth bivariate hazard function, and the function is estimated by two-dim…
Do men avoid seeking medical advice? A register-based analysis of gender-specific changes in primary healthcare use after first hospitalisation at ages 60+ in Denmark
Background It remains unclear whether women’s greater primary healthcare use reflects a lower treatment-seeking threshold or a health disadvantage. We address this question by studying primary healthcare use surrounding a major health shock. Methods This cohort study utilises routinely-collected healthcare data covering the Danish population aged 60+ years between 1996 and 2011. Using a hurdle model, we investigate levels of non-use and levels of…
Investigating healthy life expectancy using a multi-state model in the presence of missing data and misclassification
A continuous-time three-state model can be used to describe change in cognitive function in the older population. State 1 corresponds to normal cognitive function, state 2 to cognitive impairment, and state 3 to dead. For statistical inference, longitudina
Building Mic-Core, a Specialized M&S Software to Simulate Multi-State Demographic Micro Models, Based on James II, a General M&S Framework
Often new modeling and simulation software is developed from scratch with no or only little reuse. The benefits that can be gained from developing a modeling and simulation environment by using (and thus reusing components of) a general modeling and simulation framework refer to reliability and efficiency of the developed software, which eventually contributes to the quality of simulation experiments. Developing the tool Mic-Core which supports c…
Juha M. Alho and Bruce D. Spencer, Statistical Demography and Forecasting
Two proofs of a recent formula by Griffith Feeney
This reflexion provides two mathematical proofs for Equation (1) in Feeney (
Abstracts of AAPA Poster and Podium Presentations
Tooth cementum annulation for age estimation
Recent research indicates that tooth‐cementum annulations (TCA) may be used more reliably than other morphological or histological traits of the adult skeleton to estimate age. Until now, however, confidence intervals for age estimated by this method have not been available for paleodemographic and forensic applications. The present study addresses this problem. Based on a large known‐age sample, age estimates by TCA were conducted in a blind stu…
Tooth cementum annulation for age estimation
Recent research indicates that tooth‐cementum annulations (TCA) may be used more reliably than other morphological or histological traits of the adult skeleton to estimate age. Until now, however, confidence intervals for age estimated by this method have not been available for paleodemographic and forensic applications. The present study addresses this problem. Based on a large known‐age sample, age estimates by TCA were conducted in a blind stu…
Abstracts of AAPA Poster and Podium Presentations
Do men avoid seeking medical advice? A register-based analysis of gender-specific changes in primary healthcare use after first hospitalisation at ages 60+ in Denmark
Background It remains unclear whether women’s greater primary healthcare use reflects a lower treatment-seeking threshold or a health disadvantage. We address this question by studying primary healthcare use surrounding a major health shock. Methods This cohort study utilises routinely-collected healthcare data covering the Danish population aged 60+ years between 1996 and 2011. Using a hurdle model, we investigate levels of non-use and levels of…
Investigating healthy life expectancy using a multi-state model in the presence of missing data and misclassification
A continuous-time three-state model can be used to describe change in cognitive function in the older population. State 1 corresponds to normal cognitive function, state 2 to cognitive impairment, and state 3 to dead. For statistical inference, longitudina
Analysis of Time-to-Event Data With Two Time Scales. An Application to Transitions out of Cohabitation
Models for time-to-event data are based on transition rates between states, and to define such hazards of experiencing an event, the time scale over which the process evolves needs to be identified. In many applications, however, more than one time scale might be of importance. Here, we demonstrate how to model a hazard jointly over two time dimensions. The model assumes a smooth bivariate hazard function, and the function is estimated by two-dim…
Abstracts of AAPA Poster and Podium Presentations
Tooth cementum annulation for age estimation
Recent research indicates that tooth‐cementum annulations (TCA) may be used more reliably than other morphological or histological traits of the adult skeleton to estimate age. Until now, however, confidence intervals for age estimated by this method have not been available for paleodemographic and forensic applications. The present study addresses this problem. Based on a large known‐age sample, age estimates by TCA were conducted in a blind stu…
Two proofs of a recent formula by Griffith Feeney
This reflexion provides two mathematical proofs for Equation (1) in Feeney (
Juha M. Alho and Bruce D. Spencer, Statistical Demography and Forecasting
Building Mic-Core, a Specialized M&S Software to Simulate Multi-State Demographic Micro Models, Based on James II, a General M&S Framework
Often new modeling and simulation software is developed from scratch with no or only little reuse. The benefits that can be gained from developing a modeling and simulation environment by using (and thus reusing components of) a general modeling and simulation framework refer to reliability and efficiency of the developed software, which eventually contributes to the quality of simulation experiments. Developing the tool Mic-Core which supports c…
Investigating healthy life expectancy using a multi-state model in the presence of missing data and misclassification
A continuous-time three-state model can be used to describe change in cognitive function in the older population. State 1 corresponds to normal cognitive function, state 2 to cognitive impairment, and state 3 to dead. For statistical inference, longitudina
Do men avoid seeking medical advice? A register-based analysis of gender-specific changes in primary healthcare use after first hospitalisation at ages 60+ in Denmark
Background It remains unclear whether women’s greater primary healthcare use reflects a lower treatment-seeking threshold or a health disadvantage. We address this question by studying primary healthcare use surrounding a major health shock. Methods This cohort study utilises routinely-collected healthcare data covering the Danish population aged 60+ years between 1996 and 2011. Using a hurdle model, we investigate levels of non-use and levels of…
Analysis of Time-to-Event Data With Two Time Scales. An Application to Transitions out of Cohabitation
Models for time-to-event data are based on transition rates between states, and to define such hazards of experiencing an event, the time scale over which the process evolves needs to be identified. In many applications, however, more than one time scale might be of importance. Here, we demonstrate how to model a hazard jointly over two time dimensions. The model assumes a smooth bivariate hazard function, and the function is estimated by two-dim…
Computer Science (5 works) · Mathematics (4 works) · Demography (3 works) · Insurance, Mortality, Demography, Risk Management (3 works) · Medicine (3 works) · Psychology (3 works) · Sociology (3 works) · Statistics (3 works) · demographic modeling and climate adaptation (2 works) · Econometrics (2 works)