Affiliate Researcher

Daniel Christoph Schneider

researchgate.net

I am currently an affiliate researcher at the MPIDR. During 2015-2023 I have worked at the institute as a Statistical Programmer. Among my research interests are single and multiple time series analysis and discrete-time multistate models in epidemiology. While I work in several different statistical software environments, my published software contributions have mostly been to the Stata community.

MPIDR Publications

Selected Recent All

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

ardl: estimating autoregressive distributed lag and equilibrium correction models

The Stata Journal 23:4, 983–1019. (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.:

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

Software. unpublished. (2022)

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)    

Selected Recent All

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)    

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

ardl: estimating autoregressive distributed lag and equilibrium correction models

The Stata Journal 23:4, 983–1019. (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)    

Selected Recent All

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)    

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

ardl: estimating autoregressive distributed lag and equilibrium correction models

The Stata Journal 23:4, 983–1019. (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)    

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