Wissenschaftlicher Mitarbeiter

Daniel Christoph Schneider

Arbeitsbereich Demografische Daten
Arbeitsbereich Gesundheitszustand der Bevölkerung

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

ausgewählte neueste alle

Schneider, D. C.:

Statistical inference for discrete-time multistate models: asymptotic covariance matrices, partial age ranges, and group contrasts

MPIDR Working Paper WP-2023-041. (2023)       

Schneider, D. C.; Myrskylä, M.:

Statistical inference for discrete-time multistate models: extensions to Markov Chains with rewards

MPIDR Working Paper WP-2023-042. (2023)       

Schneider, D. C.:

dtms: a Stata package for the estimation of discrete-time multistate models

Software. unpublished. (2022)

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)       

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)    

ausgewählte neueste alle

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

Intersectionality and opportunity-weighted cumulative (dis)advantage

MPIDR Working Paper WP-2023-040. (2023)    

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

Trends in cognitive impairment among older adults in the USA and Europe, 1996-2018

MPIDR Working Paper WP-2023-044. (2023)    

Schneider, D. C.:

Statistical inference for discrete-time multistate models: asymptotic covariance matrices, partial age ranges, and group contrasts

MPIDR Working Paper WP-2023-041. (2023)    

Schneider, D. C.; Myrskylä, M.:

Statistical inference for discrete-time multistate models: extensions to Markov Chains with rewards

MPIDR Working Paper WP-2023-042. (2023)    

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

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

Population Studies, 1–15. (2023)    

ausgewählte neueste alle

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

Intersectionality and opportunity-weighted cumulative (dis)advantage

MPIDR Working Paper WP-2023-040. (2023)    

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

Trends in cognitive impairment among older adults in the USA and Europe, 1996-2018

MPIDR Working Paper WP-2023-044. (2023)    

Schneider, D. C.:

Statistical inference for discrete-time multistate models: asymptotic covariance matrices, partial age ranges, and group contrasts

MPIDR Working Paper WP-2023-041. (2023)    

Schneider, D. C.; Myrskylä, M.:

Statistical inference for discrete-time multistate models: extensions to Markov Chains with rewards

MPIDR Working Paper WP-2023-042. (2023)    

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

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

Population Studies, 1–15. (2023)    

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

Understanding cognitive impairment in the U.S. through the lenses of intersectionality and (un)conditional cumulative (dis)advantage

MPIDR Working Paper WP-2022-029. (2022)    

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

ardl: estimating autoregressive distributed lag and equilibrium correction models

TUPD Discussion Paper TUPD-2022-006, Sendai. (2022)    

Schneider, D. C.:

dtms: a Stata package for the estimation of discrete-time multistate models

Software. unpublished. (2022)

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 52:4, 1816–1837. (2021)    

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

Rejoinder to "The Prevalence of Cognitive Impairment Is Not Increasing in the United States: A Critique of Hale et al. (2020)"

Epidemiology 32:5, 717–720. (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)    

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

mcwr: an R package to calculate Markov chains with rewards

Software. (2021)

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

mcwr: a Stata package to calculate Markov chains with rewards

Software. (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.