Improved estimation procedures for multilevel models with binary response: A case-study

Mathematics

• Multilevel Models 93%
• Binary Response 82%
• Penalized Quasi-likelihood 78%
• Random Effects 68%
• Parametric Bootstrap 43%
• Binary Outcomes 42%
• Intercept 40%
• Fixed Effects 39%
• Estimate 31%
• Approximation 25%
• Numerical Quadrature 21%
• Attenuation 21%
• Quasi-likelihood 20%
• Gibbs Sampling 20%
• Binary Data 19%
• Count Data 19%
• Bootstrap Method 18%
• Eliminate 16%
• Hermite 16%
• Maximum Likelihood Estimate 16%
• Gauss 15%
• Model 11%
• Demonstrate 10%
• Standards 9%

Business & Economics

• Binary Response 100%
• Multilevel Models 82%
• Quasi-likelihood 79%
• Random Effects 57%
• Random Intercepts Model 45%
• Parametric Bootstrap 40%
• Approximation 33%
• Fixed Effects 24%
• Inference 22%
• Gibbs Sampling 19%
• Quadrature 19%
• Count Data 18%
• Bootstrap Method 17%
• Maximum Likelihood 13%
• Analysts 11%

Social Sciences

• estimation procedure 91%
• trend 33%