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" Random effects probit and logistic regression models for three-level data'. "
Multilevel Analysis: An Introduction to Basic and Advanced Multilevel Modeling
door Professor Tom A B a B Snijders, Tom A. B. Snijders Roel J. Bosker, Professor Roel J Bosker - 1999 - 272 pagina’s
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Applied Longitudinal Data Analysis for Epidemiology: A Practical Guide

Jos W. R. Twisk - 2003 - 326 pagina’s
...McNeil, D. and Lunn, D. (eds) (1992). SPIDA user manual, version 6. NSW, Australia: Macquarie University. Gibbons, RD and Hedeker, D. (1997). Random effects probit and logistic regression models for three level data. Biometrics, 53, 1527-37. Goldstein, H. (1986). Multilevel mixed linear model analysis...
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Longitudinal and Panel Data: Analysis and Applications in the Social Sciences

Edward W. Frees - 2004 - 492 pagina’s
...companies. References Biological Sciences Longitudinal Data References (B) Gibbons. RD, and D. Hedeker (1997). Random effects probit and logistic regression models for three-level data. Biometrics 53. 1527-37. Grizzle, JE, and MD Allen (1969). Analysis of growth and dose response curves. Biometrics...
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Evidence-Based Outcome Research: A Practical Guide to Conducting Randomized ...

Arthur M. Nezu, Christine Maguth Nezu - 2007 - 512 pagina’s
...Statistical methods for research workers. New York: Hafner. Gibbons, RD, & Hedeker, D. (1997). Random-effects probit and logistic regression models for three-level data. Biometrics, 53, 1527-1537. Gilks, WR, Thomas, A., & Spiegelhalter, DJ (1994). A language and program for complex Bayesian modeling. Statistician,...
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