Unobserved heterogeneity and the comparison of coefficients across nested logistic regression models: how to avoid comparing apples and oranges

Brzoska P, Sauzet O, Breckenkamp J (2016)
International Journal of Public Health 62(4): 517-520.

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Brzoska P, Sauzet O, Breckenkamp J. Unobserved heterogeneity and the comparison of coefficients across nested logistic regression models: how to avoid comparing apples and oranges. International Journal of Public Health. 2016;62(4):517-520.
Brzoska, P., Sauzet, O., & Breckenkamp, J. (2016). Unobserved heterogeneity and the comparison of coefficients across nested logistic regression models: how to avoid comparing apples and oranges. International Journal of Public Health, 62(4), 517-520. doi:10.1007/s00038-016-0918-5
Brzoska, P., Sauzet, O., and Breckenkamp, J. (2016). Unobserved heterogeneity and the comparison of coefficients across nested logistic regression models: how to avoid comparing apples and oranges. International Journal of Public Health 62, 517-520.
Brzoska, P., Sauzet, O., & Breckenkamp, J., 2016. Unobserved heterogeneity and the comparison of coefficients across nested logistic regression models: how to avoid comparing apples and oranges. International Journal of Public Health, 62(4), p 517-520.
P. Brzoska, O. Sauzet, and J. Breckenkamp, “Unobserved heterogeneity and the comparison of coefficients across nested logistic regression models: how to avoid comparing apples and oranges”, International Journal of Public Health, vol. 62, 2016, pp. 517-520.
Brzoska, P., Sauzet, O., Breckenkamp, J.: Unobserved heterogeneity and the comparison of coefficients across nested logistic regression models: how to avoid comparing apples and oranges. International Journal of Public Health. 62, 517-520 (2016).
Brzoska, Patrick, Sauzet, Odile, and Breckenkamp, Jürgen. “Unobserved heterogeneity and the comparison of coefficients across nested logistic regression models: how to avoid comparing apples and oranges”. International Journal of Public Health 62.4 (2016): 517-520.
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PMID: 27812725
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