-
3
-
-
0001043709
-
Computational methods using a bayesian hierarchical generalized linear model
-
Albert, J.A. (1988). Computational Methods Using a Bayesian Hierarchical Generalized Linear Model. Journal of the American Statistical Association, 83, 1037-1044.
-
(1988)
Journal of the American Statistical Association
, vol.83
, pp. 1037-1044
-
-
Albert, J.A.1
-
5
-
-
0033266211
-
A prior for the variance in hierarchical models
-
Daniels, M.J. (1999). A Prior for the Variance in Hierarchical Models. Canadian Journal of Statistics, 27, 567-578.
-
(1999)
Canadian Journal of Statistics
, vol.27
, pp. 567-578
-
-
Daniels, M.J.1
-
6
-
-
0000432739
-
Disclosure limitation using perturbation and related methods for categorical data
-
Fienberg, S., Makov, U.E., and Steele, R.J. (1998). Disclosure Limitation Using Perturbation and Related Methods for Categorical Data. Journal of Official Statistics, 14, 485-502.
-
(1998)
Journal of Official Statistics
, vol.14
, pp. 485-502
-
-
Fienberg, S.1
Makov, U.E.2
Steele, R.J.3
-
7
-
-
0004012196
-
-
London: Chapman and Hall
-
Gelman, A., Carlin, J.B., Stern, H.S., and Rubin, D.B. (1995). Bayesian Data Analysis. London: Chapman and Hall.
-
(1995)
Bayesian Data Analysis
-
-
Gelman, A.1
Carlin, J.B.2
Stern, H.S.3
Rubin, D.B.4
-
9
-
-
77951855909
-
-
Official Statistics Research Series,Wellington, New Zealand: Statistics New, Zealand, http://www.statisphere.govt.nz/official-statistics-research/ series/vol-1.htm
-
Graham, P. and Penny, R. (2007). Multiply Imputed Synthetic Data Files. Official Statistics Research Series, Vol.1. Wellington, New Zealand: Statistics New Zealand,http://www.statisphere.govt.nz/official-statistics-research/series/ vol-1.htm
-
(2007)
Multiply Imputed Synthetic Data Files.
, vol.1
-
-
Graham, P.1
Penny, R.2
-
12
-
-
0000185822
-
Statistical analysis of masked data
-
Little, R.J.A. (1993). Statistical Analysis of Masked Data. Journal of Official Statistics, 9, 407-426.
-
(1993)
Journal of Official Statistics
, vol.9
, pp. 407-426
-
-
Little, R.J.A.1
-
13
-
-
0009004885
-
A bayesian bootstrap for a finite population
-
Lo, A.Y. (1988). A Bayesian Bootstrap for a Finite Population. Annals of Statistics, 16, 360-375.
-
(1988)
Annals of Statistics
, vol.16
, pp. 360-375
-
-
Lo, A.Y.1
-
14
-
-
0027324646
-
Interpreting model coefficients when the true model form is unknown
-
Maldonado, G. and Greenland, S. (1993). Interpreting Model Coefficients When the True Model Form is Unknown. Epidemiology, 4, 310-318. (Pubitemid 23199708)
-
(1993)
Epidemiology
, vol.4
, Issue.4
, pp. 310-318
-
-
Maldonado, G.1
Greenland, S.2
-
16
-
-
4043092820
-
Nonparametric Bayesian data analysis
-
DOI 10.1214/088342304000000017, Bayes Then and Now
-
Muller, P. and Quintana, F.A. (2004). Nonparametric Bayesian Data Analysis. Statistical Science, 19, 95-110. (Pubitemid 39056879)
-
(2004)
Statistical Science
, vol.19
, Issue.1
, pp. 95-110
-
-
Muller, P.1
Quintana, F.A.2
-
17
-
-
34047215010
-
Flexible random effects models using bayesian semi-parametric models: Applications to institutional comparisons
-
Ohlssen, D.I., Sharpies, L.D., and Spiegelhalter, D.J. (2007). Flexible Random Effects Models Using Bayesian Semi-Parametric Models: Applications to Institutional Comparisons. Statistics in Medicine, 26, 2088-2112.
-
(2007)
Statistics in Medicine
, vol.26
, pp. 2088-2112
-
-
Ohlssen, D.I.1
Sharpies, L.D.2
Spiegelhalter, D.J.3
-
18
-
-
77951828978
-
R: A language and environment for statistical computing
-
R Development Core Team, Vienna: R Foundation for Statistical Computing, Raghunathan, T.E., Reiter, J.P., and Rubin, D.B. (2003). Multiple Imputation for Statistical Disclosure Limitation
-
R Development Core Team (2004). R: A Language and Environment for Statistical Computing. Vienna: R Foundation for Statistical Computing, http://www.R-project.org. Raghunathan, T.E., Reiter, J.P., and Rubin, D.B. (2003). Multiple Imputation for Statistical Disclosure Limitation. Journal of Official Statistics, 19, 1-16.
-
(2004)
Journal of Official Statistics
, vol.19
, pp. 1-16
-
-
-
19
-
-
0346202054
-
Satisfying disclosure restrictions with synthetic datasets
-
Reiter, J.P. (2002). Satisfying Disclosure Restrictions with Synthetic Datasets. Journal of Official Statistics, 18, 531-543.
-
(2002)
Journal of Official Statistics
, vol.18
, pp. 531-543
-
-
Reiter, J.P.1
-
20
-
-
12844284643
-
Releasing multiply imputed synthetic public use microdata: An illustration and empirical study
-
Series A
-
Reiter, J.P. (2005a). Releasing Multiply Imputed Synthetic Public Use Microdata: An Illustration and Empirical Study. Journal of the Royal Statistical Society, Series A, 168, 185-205.
-
(2005)
Journal of the Royal Statistical Society
, vol.168
, pp. 185-205
-
-
Reiter, J.P.1
-
21
-
-
36148937800
-
Using CART to generate partially synthetic public use microdata
-
Reiter, J.P. (2005b). Using CART to Generate Partially Synthetic Public Use Microdata. Journal of Official Statistics, 21, 441-462.
-
(2005)
Journal of Official Statistics
, vol.21
, pp. 441-462
-
-
Reiter, J.P.1
-
22
-
-
0001665813
-
Model robust confidence intervals using maximum likelihood estimators
-
Royall, R.M. (1986). Model Robust Confidence Intervals Using Maximum Likelihood Estimators. International Statistical Review, 54, 221-226.
-
(1986)
International Statistical Review
, vol.54
, pp. 221-226
-
-
Royall, R.M.1
-
23
-
-
0000135972
-
The bayesian bootstrap
-
Rubin, D.B. (1981). The Bayesian Bootstrap. Annals of Statistics, 9, 130-134.
-
(1981)
Annals of Statistics
, vol.9
, pp. 130-134
-
-
Rubin, D.B.1
-
26
-
-
0001541832
-
Bayesian nonparametric inference for random distributions and related functions
-
Walker, S.G., Damien, P., Laud, P.W., and Smith, A.F.M. (1999). Bayesian Nonparametric Inference for Random Distributions and Related Functions. Journal of the Royal Statistical Society, Series B, 61, 485-527.
-
(1999)
Journal of the Royal Statistical Society, Series B
, vol.61
, pp. 485-527
-
-
Walker, S.G.1
Damien, P.2
Laud, P.W.3
Smith, A.F.M.4
-
27
-
-
0002644952
-
Maximum likelihood estimation of misspecified models
-
White, H.A. (1982). Maximum Likelihood Estimation of Misspecified Models. Econometrica, 50, 1-25.
-
(1982)
Econometrica
, vol.50
, pp. 1-25
-
-
White, H.A.1
-
29
-
-
0029020424
-
Dose-response and trend analysis in epidemiology: Alternatives to categorical analysis
-
Greenland, S. (1995). Dose-Response and Trend Analysis in Epidemiology: Alternatives to Categorical Analysis. Epidemiology, 6, 356-365.
-
(1995)
Epidemiology
, vol.6
, pp. 356-365
-
-
Greenland, S.1
-
31
-
-
77951851406
-
Using hierarchical bayes models to create multiply imputed synthetic data
-
P. Graham, J. Young, and R. Penny (eds). Official Statistics Research Series, Wellington, New Zealand: Statistics New Zealand
-
Graham, P. (2008). Using Hierarchical Bayes Models to Create Multiply Imputed Synthetic Data. Methods for Creating Synthetic Data. P. Graham, J. Young, and R. Penny (eds). Official Statistics Research Series, Vol.3. Wellington, New Zealand: Statistics New Zealand, http://www.statisphere.govt.nz/ official-statistics-research/series/vol-3.htm
-
(2008)
Methods for Creating Synthetic Data
, vol.3
-
-
Graham, P.1
-
33
-
-
0012776989
-
Discussion: Statistical disclosure limitation
-
Rubin, D.B. (1993). Discussion: Statistical Disclosure Limitation. Journal of Official Statistics, 9, 461-468.
-
(1993)
Journal of Official Statistics
, vol.9
, pp. 461-468
-
-
Rubin, D.B.1
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