Access Statistics for Sophia Rabe-Hesketh
Author contact details at EconPapers.
| Working Paper |
File Downloads |
Abstract Views |
| Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
| Biometrical modeling of twin and family data in Stata |
2 |
5 |
13 |
555 |
4 |
12 |
35 |
1,317 |
| Diagnostics for generalised linear mixed models |
0 |
0 |
8 |
1,222 |
1 |
3 |
17 |
3,240 |
| Extensions to gllamm6 |
0 |
1 |
1 |
481 |
0 |
1 |
2 |
1,121 |
| GLLAMM Manual |
0 |
1 |
12 |
1,366 |
3 |
10 |
52 |
2,966 |
| Generalized latent class modeling using gllamm |
2 |
7 |
22 |
3,464 |
3 |
10 |
39 |
6,657 |
| Maximum Likelihood Estimation of Endogenous Switching And Sample Selection Models for Binary, Count, And Ordinal Variables |
0 |
0 |
1 |
1,632 |
0 |
0 |
1 |
3,300 |
| Measuring school value added with administrative data: the problem of missing variables |
0 |
0 |
0 |
69 |
0 |
0 |
1 |
202 |
| Missing ordinal covariates with informative selection |
0 |
0 |
0 |
52 |
1 |
2 |
2 |
227 |
| Multilevel modeling of complex survey data |
0 |
0 |
1 |
459 |
1 |
3 |
14 |
1,083 |
| Multilevel modeling of educational longitudinal data with crossed random effects |
0 |
0 |
2 |
318 |
0 |
2 |
6 |
648 |
| Multilevel modeling of ordinal responses |
1 |
4 |
16 |
980 |
2 |
6 |
27 |
1,712 |
| Multilevel selection models using gllamm |
1 |
4 |
12 |
2,776 |
4 |
13 |
32 |
6,143 |
| Prediction for multilevel models |
0 |
0 |
1 |
899 |
0 |
0 |
4 |
1,533 |
| Prediction in Multilevel Logistic Regression |
3 |
7 |
16 |
1,333 |
4 |
10 |
31 |
3,395 |
| Reducing bias due to missing values of the response variable by joint modeling with an auxiliary variable |
0 |
0 |
0 |
55 |
0 |
0 |
0 |
236 |
| Wishes and Grumbles |
0 |
0 |
0 |
139 |
0 |
0 |
0 |
361 |
| Total Working Papers |
9 |
29 |
105 |
15,800 |
23 |
72 |
263 |
34,141 |
| Journal Article |
File Downloads |
Abstract Views |
| Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
| A Nondegenerate Penalized Likelihood Estimator for Variance Parameters in Multilevel Models |
0 |
0 |
1 |
8 |
0 |
0 |
2 |
63 |
| A Third-Order Item Response Theory Model for Modeling the Effects of Domains and Subdomains in Large-Scale Educational Assessment Surveys |
1 |
3 |
4 |
12 |
1 |
3 |
5 |
29 |
| Additive Multilevel Item Structure Models with Random Residuals: Item Modeling for Explanation and Item Generation |
0 |
0 |
0 |
3 |
0 |
0 |
4 |
25 |
| Alternating imputation posterior estimation of models with crossed random effects |
0 |
0 |
0 |
22 |
0 |
0 |
2 |
87 |
| Avoiding biased versions of Wooldridge’s simple solution to the initial conditions problem |
4 |
7 |
25 |
146 |
5 |
11 |
41 |
368 |
| Biometrical Modeling of Twin and Family Data Using Standard Mixed Model Software |
0 |
0 |
0 |
5 |
0 |
1 |
4 |
31 |
| Composition, Context, and Endogeneity in School and Teacher Comparisons |
0 |
0 |
0 |
4 |
0 |
0 |
2 |
30 |
| Estimating parameters of dichotomous and ordinal item response models with gllamm |
0 |
0 |
0 |
735 |
0 |
0 |
6 |
1,553 |
| Generalized linear latent and mixed models |
0 |
0 |
3 |
179 |
0 |
0 |
7 |
390 |
| Generalized multilevel structural equation modeling |
0 |
1 |
1 |
173 |
0 |
1 |
5 |
488 |
| Handling initial conditions and endogenous covariates in dynamic/transition models for binary data with unobserved heterogeneity |
2 |
2 |
10 |
29 |
3 |
5 |
22 |
92 |
| Incorporating Student Covariates in Cognitive Diagnosis Models |
0 |
0 |
1 |
9 |
1 |
1 |
4 |
59 |
| Latent Variable Modelling: A Survey* |
0 |
0 |
1 |
115 |
0 |
1 |
9 |
253 |
| Maximum likelihood estimation of endogenous switching and sample selection models for binary, ordinal, and count variables |
1 |
1 |
8 |
1,672 |
2 |
4 |
28 |
3,928 |
| Maximum likelihood estimation of generalized linear models with covariate measurement error |
0 |
0 |
2 |
515 |
2 |
2 |
9 |
1,877 |
| Maximum likelihood estimation of limited and discrete dependent variable models with nested random effects |
0 |
0 |
4 |
260 |
1 |
1 |
12 |
801 |
| Measuring School Value Added with Administrative Data: The Problem of Missing Variables |
0 |
0 |
0 |
15 |
0 |
0 |
0 |
83 |
| Missing ordinal covariate with informative selection |
0 |
0 |
0 |
15 |
0 |
0 |
1 |
61 |
| Modeling Achievement Trajectories When Attrition Is Informative |
0 |
0 |
0 |
2 |
0 |
0 |
0 |
18 |
| Modeling Differential Item Functioning Using a Generalization of the Multiple-Group Bifactor Model |
0 |
0 |
1 |
4 |
0 |
0 |
1 |
35 |
| Multilevel and Latent Variable Modeling with Composite Links and Exploded Likelihoods |
0 |
0 |
0 |
62 |
0 |
0 |
4 |
203 |
| Multilevel logistic regression for polytomous data and rankings |
0 |
0 |
0 |
241 |
0 |
0 |
0 |
724 |
| Multilevel modelling of complex survey data |
0 |
0 |
0 |
212 |
0 |
2 |
10 |
577 |
| Parameterization of Multivariate Random Effects Models for Categorical Data |
0 |
0 |
0 |
2 |
0 |
0 |
2 |
12 |
| Prediction in multilevel generalized linear models |
0 |
0 |
0 |
79 |
1 |
3 |
11 |
237 |
| Profile-Likelihood Approach for Estimating Generalized Linear Mixed Models With Factor Structures |
0 |
0 |
1 |
3 |
0 |
0 |
3 |
19 |
| Reliable estimation of generalized linear mixed models using adaptive quadrature |
0 |
0 |
0 |
922 |
1 |
2 |
7 |
3,048 |
| Total Journal Articles |
8 |
14 |
62 |
5,444 |
17 |
37 |
201 |
15,091 |
| Software Item |
File Downloads |
Abstract Views |
| Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
| CI_MARG_MU: Stata module to produce simulation-based confidence intervals after gllapred |
0 |
1 |
1 |
165 |
0 |
4 |
8 |
665 |
| CME: Stata program to estimate generalized linear models with covariate measurement error |
0 |
0 |
2 |
208 |
0 |
2 |
17 |
997 |
| GLLAMM: Stata program to fit generalised linear latent and mixed models |
2 |
10 |
35 |
4,730 |
12 |
36 |
133 |
14,676 |
| LCMC: Stata module to estimate latent class missing covariate model for continous main response, ordinal covariate with missing values, and informative selection |
0 |
0 |
0 |
16 |
0 |
0 |
3 |
222 |
| SSM: Stata program to estimate endogenous switching and sample selection models for binary, count, and ordinal variables using ML |
1 |
3 |
10 |
1,155 |
2 |
7 |
35 |
3,485 |
| Total Software Items |
3 |
14 |
48 |
6,274 |
14 |
49 |
196 |
20,045 |
|
|
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