Refining starting values: Iteration 0: log likelihood = -3824.2872 Iteration 1: log likelihood = -3699.8676
Iteration 2: log likelihood = -3690.0795
Performing gradient-based optimization:
Iteration 0: log likelihood = -3690.0795
Iteration 1: log likelihood = -3689.6398
Iteration 2: log likelihood = -3689.6382
Iteration 3: log likelihood = -3689.6382
Mixed-effects logistic regression
Number of obs = 8525
Group variable: did Number of groups = 407
Obs per group: min = 2 avg = 20.9 max = 40
Integration points = 10 Wald chi2(7) = 394.80
Log likelihood = -3689.6382 Prob > chi2 = 0.0000
如上，Wald chi2(7)检验的结果是针对什么假设的？为何与分别根据null model与current model比较进行LR test的结果很大区别？-2*log likelihood也对不上号。求高手帮忙解释一下或推荐一下相关资料。
多谢！