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 |
1 |
5 |
17 |
522 |
5 |
12 |
47 |
1,245 |
| Diagnostics for generalised linear mixed models |
2 |
4 |
9 |
1,205 |
2 |
7 |
27 |
3,191 |
| Extensions to gllamm6 |
0 |
0 |
1 |
479 |
0 |
2 |
9 |
1,117 |
| GLLAMM Manual |
2 |
6 |
16 |
1,337 |
13 |
31 |
82 |
2,841 |
| Generalized latent class modeling using gllamm |
4 |
11 |
47 |
3,406 |
7 |
23 |
117 |
6,544 |
| Maximum Likelihood Estimation of Endogenous Switching And Sample Selection Models for Binary, Count, And Ordinal Variables |
1 |
1 |
1 |
1,631 |
1 |
2 |
8 |
3,292 |
| Measuring school value added with administrative data: the problem of missing variables |
0 |
0 |
1 |
68 |
1 |
2 |
10 |
199 |
| Missing ordinal covariates with informative selection |
0 |
1 |
2 |
52 |
1 |
3 |
8 |
220 |
| Multilevel modeling of complex survey data |
3 |
3 |
6 |
454 |
8 |
15 |
31 |
1,046 |
| Multilevel modeling of educational longitudinal data with crossed random effects |
1 |
1 |
6 |
310 |
1 |
3 |
15 |
624 |
| Multilevel modeling of ordinal responses |
3 |
5 |
18 |
949 |
3 |
9 |
42 |
1,655 |
| Multilevel selection models using gllamm |
0 |
3 |
20 |
2,751 |
3 |
12 |
58 |
6,065 |
| Prediction for multilevel models |
0 |
0 |
2 |
893 |
1 |
3 |
7 |
1,515 |
| Prediction in Multilevel Logistic Regression |
1 |
4 |
22 |
1,301 |
3 |
15 |
74 |
3,308 |
| Reducing bias due to missing values of the response variable by joint modeling with an auxiliary variable |
0 |
0 |
1 |
55 |
1 |
3 |
9 |
232 |
| Wishes and Grumbles |
0 |
0 |
0 |
139 |
0 |
2 |
4 |
360 |
| Total Working Papers |
18 |
44 |
169 |
15,552 |
50 |
144 |
548 |
33,454 |
| 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 |
2 |
6 |
3 |
5 |
11 |
55 |
| A Third-Order Item Response Theory Model for Modeling the Effects of Domains and Subdomains in Large-Scale Educational Assessment Surveys |
0 |
1 |
1 |
8 |
0 |
2 |
2 |
22 |
| Additive Multilevel Item Structure Models with Random Residuals: Item Modeling for Explanation and Item Generation |
0 |
0 |
0 |
3 |
0 |
1 |
2 |
19 |
| Alternating imputation posterior estimation of models with crossed random effects |
0 |
0 |
0 |
22 |
0 |
1 |
3 |
84 |
| Avoiding biased versions of Wooldridge’s simple solution to the initial conditions problem |
0 |
2 |
26 |
102 |
1 |
11 |
51 |
277 |
| Biometrical Modeling of Twin and Family Data Using Standard Mixed Model Software |
0 |
0 |
0 |
3 |
0 |
2 |
6 |
24 |
| Composition, Context, and Endogeneity in School and Teacher Comparisons |
0 |
0 |
0 |
4 |
0 |
1 |
1 |
26 |
| Estimating parameters of dichotomous and ordinal item response models with gllamm |
0 |
2 |
5 |
730 |
0 |
6 |
21 |
1,532 |
| Generalized linear latent and mixed models |
0 |
1 |
3 |
169 |
0 |
3 |
9 |
373 |
| Generalized multilevel structural equation modeling |
0 |
0 |
1 |
171 |
1 |
3 |
12 |
473 |
| Handling initial conditions and endogenous covariates in dynamic/transition models for binary data with unobserved heterogeneity |
0 |
0 |
2 |
15 |
0 |
1 |
8 |
57 |
| Incorporating Student Covariates in Cognitive Diagnosis Models |
0 |
0 |
1 |
8 |
0 |
1 |
2 |
51 |
| Latent Variable Modelling: A Survey* |
1 |
4 |
5 |
114 |
3 |
9 |
16 |
231 |
| Maximum likelihood estimation of endogenous switching and sample selection models for binary, ordinal, and count variables |
3 |
11 |
27 |
1,654 |
6 |
28 |
84 |
3,840 |
| Maximum likelihood estimation of generalized linear models with covariate measurement error |
2 |
3 |
5 |
510 |
4 |
11 |
22 |
1,856 |
| Maximum likelihood estimation of limited and discrete dependent variable models with nested random effects |
0 |
2 |
6 |
250 |
2 |
5 |
23 |
775 |
| Measuring School Value Added with Administrative Data: The Problem of Missing Variables |
0 |
0 |
0 |
15 |
0 |
1 |
4 |
81 |
| Missing ordinal covariate with informative selection |
0 |
1 |
2 |
15 |
0 |
2 |
10 |
58 |
| Modeling Achievement Trajectories When Attrition Is Informative |
0 |
0 |
0 |
2 |
0 |
1 |
3 |
17 |
| Modeling Differential Item Functioning Using a Generalization of the Multiple-Group Bifactor Model |
0 |
0 |
0 |
3 |
0 |
2 |
2 |
28 |
| Multilevel and Latent Variable Modeling with Composite Links and Exploded Likelihoods |
0 |
0 |
0 |
62 |
0 |
1 |
2 |
195 |
| Multilevel logistic regression for polytomous data and rankings |
0 |
1 |
3 |
239 |
0 |
2 |
7 |
720 |
| Multilevel modelling of complex survey data |
0 |
0 |
5 |
211 |
4 |
5 |
21 |
558 |
| Parameterization of Multivariate Random Effects Models for Categorical Data |
0 |
0 |
0 |
2 |
1 |
2 |
2 |
8 |
| Prediction in multilevel generalized linear models |
0 |
0 |
5 |
78 |
1 |
3 |
16 |
215 |
| Profile-Likelihood Approach for Estimating Generalized Linear Mixed Models With Factor Structures |
0 |
0 |
0 |
2 |
0 |
1 |
2 |
16 |
| Reliable estimation of generalized linear mixed models using adaptive quadrature |
0 |
1 |
6 |
921 |
1 |
6 |
19 |
3,032 |
| Total Journal Articles |
6 |
29 |
105 |
5,319 |
27 |
116 |
361 |
14,623 |
| 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 |
0 |
4 |
161 |
1 |
12 |
30 |
636 |
| CME: Stata program to estimate generalized linear models with covariate measurement error |
0 |
0 |
1 |
205 |
2 |
5 |
12 |
970 |
| GLLAMM: Stata program to fit generalised linear latent and mixed models |
4 |
11 |
39 |
4,664 |
30 |
67 |
213 |
14,368 |
| 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 |
2 |
5 |
10 |
214 |
| SSM: Stata program to estimate endogenous switching and sample selection models for binary, count, and ordinal variables using ML |
2 |
6 |
14 |
1,137 |
6 |
17 |
64 |
3,401 |
| Total Software Items |
6 |
17 |
58 |
6,183 |
41 |
106 |
329 |
19,589 |
|
|
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