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Goodness-of-fit tests for logistic regression models when data are collected using a complex sampling design

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  • Archer, Kellie J.
  • Lemeshow, Stanley
  • Hosmer, David W.

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  • Archer, Kellie J. & Lemeshow, Stanley & Hosmer, David W., 2007. "Goodness-of-fit tests for logistic regression models when data are collected using a complex sampling design," Computational Statistics & Data Analysis, Elsevier, vol. 51(9), pages 4450-4464, May.
    • Handle: RePEc:eee:csdana:v:51:y:2007:i:9:p:4450-4464
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    References listed on IDEAS

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    1. Joseph Pigeon & Joseph Heyse, 1999. "A cautionary note about assessing the fit of logistic regression models," Journal of Applied Statistics, Taylor & Francis Journals, vol. 26(7), pages 847-853.
    2. Edward L. Korn & Barry I. Graubard, 1995. "Analysis of Large Health Surveys: Accounting for the Sampling Design," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 158(2), pages 263-295, March.
    3. Kellie J. Archer & Stanley Lemeshow, 2006. "Goodness-of-fit test for a logistic regression model fitted using survey sample data," Stata Journal, StataCorp LP, vol. 6(1), pages 97-105, March.
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    4. Giovanni Nattino & Michael L. Pennell & Stanley Lemeshow, 2020. "Assessing the goodness of fit of logistic regression models in large samples: A modification of the Hosmer‐Lemeshow test," Biometrics, The International Biometric Society, vol. 76(2), pages 549-560, June.
    5. Ngokkuen, Chuthaporn & Grote, Ulrike, 2012. "Geographical Indication for Jasmine Rice: Applying a Logit Model to Predict Adoption Behavior of Thai Farm Households," Quarterly Journal of International Agriculture, Humboldt-Universitaat zu Berlin, vol. 51(2), pages 1-29, May.
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    13. Daniel Fernández & Louise McMillan & Richard Arnold & Martin Spiess & Ivy Liu, 2022. "Goodness-of-Fit and Generalized Estimating Equation Methods for Ordinal Responses Based on the Stereotype Model," Stats, MDPI, vol. 5(2), pages 1-14, June.
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    15. Jacques Muthusi & Samuel Mwalili & Peter Young, 2019. "%svy_logistic_regression: A generic SAS macro for simple and multiple logistic regression and creating quality publication-ready tables using survey or non-survey data," PLOS ONE, Public Library of Science, vol. 14(9), pages 1-14, September.
    16. Yongfeng Ma & Xin Gu & Ya’nan Yu & Aemal J. Khattakc & Shuyan Chen & Kun Tang, 2021. "Identification of Contributing Factors for Driver’s Perceptual Bias of Aggressive Driving in China," Sustainability, MDPI, vol. 13(2), pages 1-18, January.
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