Simulation studies employed to study properties of estimators for parameters in population-averaged models for clustered or longitudinal data require suitable algorithms for data generation. The most useful algorithms for generating cor... JS Preisser,BF Qaqish 被引量: 3发表: 2012年 加载更多研究...
(sample) coefficient vector constraints matrix iteration log gradient vector variance–covariance matrix of the estimators model-based variance marks estimation sample In addition to the above, the following is stored in r(): Matrices r(table) matrix containing the coefficients with their standard ...
We illustrate the proposed PA approach through two dataset examples and compare performance of estimators of the marginal regression parameters from the PA model with those of the marginalized regression parameters from the BGLMM through Monte Carlo simulation studies. Overall, both marginalized BGLMM ...
(sample) coefficient vector constraints matrix iteration log gradient vector variance–covariance matrix of the estimators marks estimation sample xtpoisson, re normal stores the following in e(): Scalars e(N) e(N g) e(N cd) e(k) e(k aux) e(k eq) e(k eq model) e(k dv) e(df m...
Results indicated that the unweighted estimators performed similarly across conditions, whereas the weighted single-level estimators tended to outperform the weighted multilevel estimators, particularly under non-ideal sample conditions. Multilevel weight approximation methods did not perform well when the ...
err. nmp, if specified bV program used to implement predict predictions disallowed by margins factor variables fvset as asbalanced factor variables fvset as asobserved coefficient vector estimated working correlation matrix variance–covariance matrix of the estimators model-based variance marks estimation...
estimators xtnbreg — Fixed-effects, random-effects, & population-averaged negative binomial models 11 Functions e(sample) marks estimation sample In addition to the above, the following is stored in r(): Matrices r(table) matrix containing the coefficients with their standard errors, test ...
(sample) coefficient vector constraints matrix iteration log gradient vector variance–covariance matrix of the estimators model-based variance marks estimation sample In addition to the above, the following is stored in r(): Matrices r(table) matrix containing the coefficients with their standard ...
(sample) coefficient vector constraints matrix iteration log gradient vector variance–covariance matrix of the estimators model-based variance marks estimation sample xtlogit, fe stores the following in e(): Scalars e(N) e(N g) e(N drop) e(N group drop) e(k) e(k eq) e(k eq model) ...
In this paper,the comparison is qiven between the random simulation of the maximum likelihood estimators and the quasi-maximum likelihood estimators of the population-averaged treatment effects in the one-dimensional structural regression models with one covariate and the measurement errors. 通过对单个...