New ways of estimating excess mortality of chronic diseases from aggregated data: insights from the illness-death model
Brinks R, Tönnies T, Hoyer A (2019)
BMC Public Health 19(1): 844.
Zeitschriftenaufsatz
| Veröffentlicht | Englisch
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Autor*in
Brinks, Ralph;
Tönnies, Thaddäus;
Hoyer, AnnikaUniBi 
Erscheinungsjahr
2019
Zeitschriftentitel
BMC Public Health
Band
19
Ausgabe
1
Art.-Nr.
844
Urheberrecht / Lizenzen
eISSN
1471-2458
Page URI
https://pub.uni-bielefeld.de/record/2991247
Zitieren
Brinks R, Tönnies T, Hoyer A. New ways of estimating excess mortality of chronic diseases from aggregated data: insights from the illness-death model. BMC Public Health. 2019;19(1): 844.
Brinks, R., Tönnies, T., & Hoyer, A. (2019). New ways of estimating excess mortality of chronic diseases from aggregated data: insights from the illness-death model. BMC Public Health, 19(1), 844. https://doi.org/10.1186/s12889-019-7201-7
Brinks, Ralph, Tönnies, Thaddäus, and Hoyer, Annika. 2019. “New ways of estimating excess mortality of chronic diseases from aggregated data: insights from the illness-death model”. BMC Public Health 19 (1): 844.
Brinks, R., Tönnies, T., and Hoyer, A. (2019). New ways of estimating excess mortality of chronic diseases from aggregated data: insights from the illness-death model. BMC Public Health 19:844.
Brinks, R., Tönnies, T., & Hoyer, A., 2019. New ways of estimating excess mortality of chronic diseases from aggregated data: insights from the illness-death model. BMC Public Health, 19(1): 844.
R. Brinks, T. Tönnies, and A. Hoyer, “New ways of estimating excess mortality of chronic diseases from aggregated data: insights from the illness-death model”, BMC Public Health, vol. 19, 2019, : 844.
Brinks, R., Tönnies, T., Hoyer, A.: New ways of estimating excess mortality of chronic diseases from aggregated data: insights from the illness-death model. BMC Public Health. 19, : 844 (2019).
Brinks, Ralph, Tönnies, Thaddäus, and Hoyer, Annika. “New ways of estimating excess mortality of chronic diseases from aggregated data: insights from the illness-death model”. BMC Public Health 19.1 (2019): 844.
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