Wissenschaftlicher Mitarbeiter

Daniel Christoph Schneider

Arbeitsbereich Demografische Daten

researchgate.net

Ich arbeite seit 2015 als Statistischer Programmierer am MPIDR. Meine derzeitigen Forschungsinteressen sind u.a. in den Bereichen Zeitreihenanalyse und zeitdiskrete Multistate-Modelle in der Epidemiologie. Ich interessiere mich für verschiedene Softwareumgebungen, aber meine veröffentlichten Software-Module sind in Stata geschrieben. Weitere Informationen sind auf meinem Profil auf ResearchGate erhältlich.

Publikationen am MPIDR

neueste alle

Dudel, C.; Schneider, D. C.:

How bad could it be? Worst-case bounds on bias in multistate models due to unobserved transitions

Sociological Methods and Research. forthcoming. (2021)    

Schneider, D. C.; Myrskylä, M.; van Raalte, A. A.:

Flexible transition timing in discrete-time multistate life tables using Markov chains with rewards

MPIDR Working Paper WP-2021-002. (2021)    

Hale, J. M.; Schneider, D. C.; Gampe, J.; Mehta, N. K.; Myrskylä, M.:

Trends in the risk of cognitive impairment in the U.S., 1996-2014

Epidemiology 31:5, 745–754. (2020)    

Hale, J. M.; Schneider, D. C.; Mehta, N. K.; Myrskylä, M.:

Cognitive impairment in the U.S.: lifetime risk, age at onset, and years impaired

SSM-Population Health 11:100577, 1–9. (2020)    

Kripfganz, S.; Schneider, D. C.:

Response surface regressions for critical value bounds and approximate p-values in equilibrium correction models

Oxford Bulletin of Economics and Statistics 82:6, 1456–1481. (2020)    

neueste alle

Dudel, C.; Schneider, D. C.:

How bad could it be? Worst-case bounds on bias in multistate models due to unobserved transitions

Sociological Methods and Research. forthcoming. (2021)    

Schneider, D. C.; Myrskylä, M.; van Raalte, A. A.:

Flexible transition timing in discrete-time multistate life tables using Markov chains with rewards

MPIDR Working Paper WP-2021-002. (2021)    

Hale, J. M.; Schneider, D. C.; Gampe, J.; Mehta, N. K.; Myrskylä, M.:

Trends in the risk of cognitive impairment in the U.S., 1996-2014

Epidemiology 31:5, 745–754. (2020)    

Hale, J. M.; Schneider, D. C.; Mehta, N. K.; Myrskylä, M.:

Cognitive impairment in the U.S.: lifetime risk, age at onset, and years impaired

SSM-Population Health 11:100577, 1–9. (2020)    

Kripfganz, S.; Schneider, D. C.:

Response surface regressions for critical value bounds and approximate p-values in equilibrium correction models

Oxford Bulletin of Economics and Statistics 82:6, 1456–1481. (2020)    

Goisis, A.; Schneider, D. C.; Myrskylä, M.:

Secular changes in the association between advanced maternal age and the risk of low birth weight: a cross-cohort comparison in the UK

Population Studies 72:3, 381–397. (2018)    

Höhn, A.; Aagaard Larsen, L.; Schneider, D. C.; Lindahl-Jacobsen, R.; Rau, R.; Christensen, K.; Oksuzyan, A.:

Sex differences in the 1-year risk of dying following all-cause and cause-specific hospital admission after age 50 in comparison with a general and non-hospitalized population: a register-based cohort study of the Danish population

BMJ Open 8:7, e021813–e021813. (2018)    

Díaz-Venegas, C.; Schneider, D. C.; Myrskylä, M.; Mehta, N. K.:

Life expectancy with and without cognitive impairment by diabetes status among older Americans

PLoS One 12:12, e0190488–e0190488. (2017)    

Goisis, A.; Schneider, D. C.; Myrskylä, M.:

The reversing association between advanced maternal age and child cognitive ability: evidence from three UK birth cohorts

International Journal of Epidemiology 46:3, 850–859. (2017)    

Schneider, D. C.:

hmddata - a Stata module to access and work with data from the Human Mortality Database

MPIDR Technical Report TR-2017-001. (2017)

Goisis, A.; Schneider, D. C.; Myrskylä, M.:

Secular changes in the association between advanced maternal age and the risk of low birth weight: a cross-cohort comparison in the UK

MPIDR Working Paper WP-2015-010. (2015)    

Das Max-Planck-Institut für demografische Forschung ist nicht für die Inhalte dieser Seite verantwortlich.