Items where Author is "Skinner, Chris J."

Number of items: 80.
Article
  • Allowing for non-ignorable non-response in the analysis of voting intention data. Smith, P. W. F. and Skinner, Chris J. and Clarke, P. S.
  • Analysis of categorical data for complex surveys. Skinner, Chris J.
  • Assessing identification risk in survey microdata using log-linear models. Skinner, Chris J. and Shlomo, Natalie
  • Assessing the protection provided by misclassification-based disclosure limitation methods for survey microdata. Shlomo, Natalie and Skinner, Chris J.
  • Book review: 'advances in sampling theory - ratio method of estimation’ by Cingi, H. and Kadilar, C. Skinner, Chris J.
  • Calibration weighting and non-sampling errors. Skinner, Chris J.
  • Comment of J. Shao,'invited discussion paper resampling methods in sample surveys. Skinner, Chris J.
  • Comment on X-L Meng, ‘multiple-imputation inferences with uncongenial sources of input’. Skinner, Chris J.
  • Comment on: A. Demnati and J.N.K. Rao, 'linearization variance estimators for model parameters from complex survey data'. Skinner, Chris J.
  • Comments on G.M. Fitzmaurice, A.F. Heath and D.R. Cox, ‘detecting overdispersion in large scale surveys: application to a study of education and social class in Britain’. Skinner, Chris J.
  • Comments on the Rao and Fuller (2017) paper. Skinner, Chris J.
  • Confidentiality and differential privacy in the dissemination of frequency tables. Rinott, Yosef and O’Keefe, Christine M. and Shlomo, Natalie and Skinner, Chris J.
  • Contribution to discussion of J. Copas and S. Eguchi, ‘local model uncertainty and incomplete-data bias’. Skinner, Chris J.
  • Disclosure control for census microdata. Skinner, Chris J. and Marsh, Catherine and Openshaw, Stan and Wymer, Colin
  • Discussion. Skinner, Chris J.
  • Discussion of D. Steel, ‘producing monthly estimates of unemployment and employment according to the International Labour Office definition’. Skinner, Chris J.
  • Discussion of J. B. Copas and H. G. Li, 'inference for non-random samples'. Skinner, Chris J.
  • Discussion of J.F.Bjørnstad, ‘Non-Bayesian multiple imputation’. Skinner, Chris J.
  • Estimating distribution functions with auxiliary information using poststratification. Silva, Nascimento and Skinner, Chris J.
  • Estimating frequencies of frequencies in finite populations. Skinner, Chris J. and Shlomo, N.
  • Estimating models for panel survey data under complex sampling. Vieira, Marcel D.T. and Skinner, Chris J.
  • Estimating the re-identification risk per record in microdata. Holmes, D. J. and Skinner, Chris J.
  • Estimation in dual frame surveys with complex designs. Skinner, Chris J. and Rao, J. N. K.
  • Estimation of a measure of disclosure risk for survey microdata under unequal probability sampling. Skinner, Chris J. and Carter, Randy
  • Estimation of an indicator of the representativeness of survey response. Shlomo, Natalie and Skinner, Chris J. and Schouten, Barry
  • Estimation of dyadic characteristics of family networks using sample survey data. Skinner, Chris J. and Steele, Fiona picture_as_pdf
  • Fitting log-linear models to contingency tables from surveys with complex sampling designs: an investigation of the Clogg-Eliason approach. Skinner, Chris J. and Vallet, L.-A.
  • Geographically intelligent disclosure control for flexible aggregation of census data. Young, Caroline and Martin, David and Skinner, Chris J.
  • Indicators for monitoring and improving representativeness of response. Schouten, Barry and Shlomo, Natalie and Skinner, Chris J.
  • Instrumental variable estimation of gross flows in the presence of measurement error. Skinner, Chris J. and Humphreys, K.
  • Introduction to the design and analysis of complex survey data. Skinner, Chris J. and Wakefield, Jon
  • Inverse probability weighting for clustered nonresponse. Skinner, Chris J. and D'Arrigo, Julia
  • Jackknife variance estimation for multivariate statistics under hot-deck imputation from common donors. Skinner, Chris J.
  • Linearization variance estimation for generalized raking estimators in the presence of nonresponse. D'Arrigo, Julia and Skinner, Chris J.
  • Logistic modelling of longitudinal survey data with measurement error. Skinner, Chris J.
  • Modelling consumers' use of products. Romaniuk, H. and Skinner, Chris J. and Cooper, P. J.
  • Multi-way stratification by linear programming. Sitter, R. R. and Skinner, Chris J.
  • Multiple frame sampling for multivariate stratification. Skinner, Chris J. and Holmes, D. J. and Holt, D.
  • The Muscatine children’s obesity data reanalysed using pattern mixture models. Ekholm, Anders and Skinner, Chris J.
  • Non-response biases in surveys of schoolchildren: the case of the English Programme for International Student Assessment (PISA) samples. Micklewright, John and Schnepf, Sylke and Skinner, Chris J.
  • Optimal sample coordination using controlled selection. Matei, Alina and Skinner, Chris J.
  • Pairwise likelihood estimation and limited-information goodness-of-fit test statistics for binary factor analysis models under complex survey sampling. Jamil, Haziq and Moustaki, Irini and Skinner, Chris J. picture_as_pdf
  • Population sampling in longitudinal surveys. Goldstein, Harvey and Lynn, Peter and Muniz-Terrera, Graciela and Hardy, Rebecca and O’Muircheartaigh, Colm and Skinner, Chris J. and Lehtonen, Risto picture_as_pdf
  • Privacy protection from sampling and perturbation in survey microdata. Sholmo, Natalie and Skinner, Chris J.
  • Probing of "don't know'' responses in surveys. Kuha, Jouni and Butt, Sarah and Katsikatsou, Myrsini and Skinner, Chris J.
  • Quasi-score tests with survey data. Rao, J. N. K. and Scott, A. J. and Skinner, Chris J.
  • Record level measures of disclosure risk for survey microdata. Elamir, Elsayed A.H. and Skinner, Chris J.
  • Regression analysis of complex survey data with missing values of a covariate. Skinner, Chris J. and Coker, O.
  • Rejoinder. Skinner, Chris J.
  • Safe data versus safe setting: access to microdata from the British Census. Marsh, Catherine and Dale, A. and Skinner, Chris J.
  • Special issue on the theory and practice of differential privacy. Gaboardi, Marco and Skinner, Chris J.
  • Special uniques, random uniques and sticky populations: some counterintuitive effects of geographical detail on disclosure risk. Elliot, M. J. and Skinner, Chris J. and Dale, A.
  • Statistical disclosure risk: separating potential and harm. Skinner, Chris J.
  • Three-way stratification sampling design when one of the stratifying variables is time. Ali Ghazali, Syed Shakir and Skinner, Chris J. and Tahir, M. H.
  • Using binary paradata to correct for measurement error in survey data analysis. Da Silva, Damião Nóbrega and Skinner, Chris J. and Kim, Jae Kwang
  • Using data augmentation to correct for non-ignorable non-response when surrogate data are available: an application to the distribution of hourly pay. Durrant, Gabriele B. and Skinner, Chris J.
  • Using missing data methods to correct for measurement error in a distribution function. Durrant, Gabriele B. and Skinner, Chris J.
  • Variable selection for regression estimation in finite populations. Nascimento, Silva and Skinner, Chris J.
  • Variance estimation for a low income proportion. Berger, Yves G. and Skinner, Chris J.
  • Variance estimation in the analysis of clustered longitudinal survey data. Skinner, Chris J. and de Toledo Vieira, Marcel
  • Weibull regression for lifetimes measured with error. Skinner, Chris J. and Humphreys, K.
  • Weighting for unequal selection probabilities in multilevel models. Pfeffermann, Danny and Skinner, Chris J. and Holmes, D. J. and Goldstein, H. and Rasbash, J.
  • Weighting in survey analysis under informative sampling. Kim, Jae Kwang and Skinner, Chris J.
  • Within-cluster resampling for multilevel models under informative cluster size. Lee, D and Kim, J K and Skinner, Chris J. picture_as_pdf
  • The effect of probing "don't know" responses on measurement quality and nonresponse in surveys. Kuha, Jouni and Butt, Sarah and Katsikatsou, Myrsini and Skinner, Chris J.
  • The estimation of gross flows in the presence of measurement error using auxiliary variables. Pfeffermann, Danny and Skinner, Chris J. and Humphreys, Keith
  • A jackknife variance estimator for unequal probability sampling. Berger, Yves G. and Skinner, Chris J.
  • A measure of disclosure risk for microdata. Skinner, Chris J. and Elliot, M. J.
  • The measurement of low pay in the UK labour force survey. Skinner, Chris J. and Stuttard, Nigel and Beissel-Durrant, Gabriele and Jenkins, James
  • The probability of identification: applying ideas from forensic statistics to disclosure risk assessment. Skinner, Chris J.
  • The use of accuracy indicators to correct for survey measurement error. Da Silva, Damião Nóbrega and Skinner, Chris J.
    • Chapter
  • Assessing disclosure risk for record linkage. Skinner, Chris J.
  • Can interviewer personality, attitudes and experience explain the design effect in face-to-face surveys? Turner, Malgorzata and Sturgis, Patrick and Martin, David and Skinner, Chris J.
  • Categorical data analysis and misclassification. Kuha, Jouni and Skinner, Chris J.
  • Dealing with measurement error in panel analysis. Skinner, Chris J.
  • Misclassification error. Skinner, Chris J.
  • Méthodes pour protéger la confidentialité des données d’enquêtes. Skinner, Chris J.
  • Probability proportional to size (PPS) sampling. Skinner, Chris J. picture_as_pdf
  • Random effects models for longitudinal survey data. Skinner, Chris J. and Holmes, D. J.
  • Statistical disclosure control for survey data. Skinner, Chris J.