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Cathie Marsh Institute for Social Research (CMI)

SMAG publications


Sakshaug, J.W. and Huber, M. (2016) An Evaluation of Panel Nonresponse and Linkage Consent Bias in a Survey of Employees in Germany. Journal of Survey Statistics and Methodology 4, no. 1 pp. 71-93. eScholarID: 272455

Conrad, F.G., Couper, M.P. and Sakshaug, J.W. (2016) Classifying Open-Ended Reports: Factors Affecting the Reliability of Occupation Codes. Journal of Official Statistics 32, no. 1 pp. 75-92. eScholarID: 275506

Cernat, A., Couper, M., and Ofstedal, M. B. (2016). Estimation of mode effects in the Health and Retirement Study using measurement models. Journal of Survey Statistics and Methodology, 1-24 DOI: 10.1093/jssam/smw021

Liu, M., and Cernat, A. (2016) Multiple-choice versus matrix questions: a web survey experiment. Social Science Computer Review 1–17; article first published online: 28 NOV 2016 | DOI: 10.1177/0894439316674459


Schouten, B. and Shlomo, N. (2015) Selecting Adaptive Survey Design Strata with Partial R-indicators, International Statistical Review; article first published online: 11 DEC 2015 | DOI: 10.1111/insr.12159

Shlomo, N., Antal, L. and Elliot, M. (2015) Measuring Disclosure Risk and Data Utility for Flexible Table Generators, Journal of Official Statistics, Vol. 31, Issue 2, pp. 305-324  

Stivala, A., Koskinen, J., Rolls, D., Wang, P., Robins, R. (2014) Snowball sampling for estimating exponential random graph models for large networks. Social Networks (in press) DOI: 10.1016/j.socnet.2015.11.003 

Cernat, A. (2015) Impact of mixed modes on measurement errors and estimates of change in panel data. Survey Research Methods, 9(2), 83-99 DOI: 10.18148.srm.2015.v9i2.5851

Cernat, A. (2015). The Impact of Mixing Modes on Reliability in Longitudinal Studies. Sociological Methods & Research 44(3), pp. 427-457 DOI: 10.1177/0049124114553802


Pina-Sánchez, J., Koskinen, J., and Plewis, I. (2014) Measurement Error in Retrospective Work Histories. Survey Research Methods 8(1), 43-55

Sakshaug, J.W. and Raghunathan, T.E. (2014) Generating Synthetic Data to Produce Public-Use Microdata for Small Geographic Areas Based on Complex Sample Survey Data with Application to the National Health Interview Survey. Journal of Applied Statistics 41, no. 10 pp. 2103-2122. eScholarID: 271576

Sakshaug, J.W. and Raghunathan, T.E. (2014) Generating Synthetic Microdata to Estimate Small Area Statistics in the American Community Survey. Statistics in Transition 15, no. 3 pp. 341-368. eScholarID: 271573

Sakshaug, Joseph W, and West, Brady T. (2014) Important considerations when analyzing health survey data collected using a complex sample design.  American journal of public health 104, no. 1 pp. 15-6 eScholarID: 271544/ DOI: 10.2105/AJPH.2013.301515


Hunt, K.J., Shlomo, N. and Addington-Hall, J. (2013) End-of-life care and achieving preferences for place of death in England: Results of a population-based survey using the VOICES-Short Form.  Palliative Medicine, November   DOI: 10.1177/0269216313512012 

Pannekoek, J. Shlomo, N. And De Waal, T. (2013) Calibrated Imputation of Numerical Data Under Linear Edit Restrictions.  Annals of Applied Statistics Volume 7, Number 4, pp. 1983-2006

Coutinho, W., De Waal, T. and Shlomo, N. (2013) Calibrated Hot-Deck Donor Imputation Subject to Edit Restrictions. Journal of Official Statistics, Vol. 29, No. 2, pp. 299-321

Hunt, K.J., Shlomo, N. and Addington- Hall, J. (2013), Recruiting Vulnerable Populations in Survey Research: a Comparative Trial of ‘Opt-in’ Versus ‘Opt-out’ Approaches.  BMC Medical Research Methodology 13:3. DOI: 10.1186/1471-2288-13-3

Koskinen, J. H., Robins, G. L., Wang, P., Pattison, P. E. (2013). Bayesian analysis for partially observed network data, missing ties, attributes and actors. Social Networks, vol. 35(4), pp. 514-527

Pina-Sanchez, J., Koskinen, J. and  Plewis, I. (2013)  "Implications of Retrospective Measurement Error in Event History Analysis." Metodolgia de Encuestas 15 pp. 5-25  


Schouten, B., Bethlehem, J., Beullens, K., Kleven, O., Loosveldt, G., Luiten, A., Rutar, K., Shlomo, N. and Skinner, C.J. (2012), Evaluating, Comparing, Monitoring and Improving Representativeness of Survey Response through R-indicators and Partial R-indicators. International Statistical Review , Vol 80, Issue 3, pp. 382-399.  DOI: 10.1111/j.1751-5823.2012.00189.x

Shlomo, N., Skinner, C.J. and Schouten, B. (2012) Estimation of an Indicator of the Representativeness of Survey Response, Journal of Statistical Planning and Inference  142, pp. 201-211

Plewis, I., Ketende, S. and Calderwood, L . (2012) "Assessing the accuracy of response propensities in longitudinal studies." Survey Methodology 38, no. 2 pp. 167-171 

Mason, A., Richardson, S., Plewis, I. and Best, N. (2012) "Strategy for modelling non-random missing data mechanisms in observational studies using Bayesian methods." Journal of Official Statistics 28, no. 2 pp. 279-302 

Sakshaug, J.W., Couper, M.P., Ofstedal, M.B., and Weir, D. (2012) Linking Survey and Administrative Records: Mechanisms of Consent." Sociological Methods and Research 41, no. 4 pp. 535-569. eScholarID: 271580


Schouten, B., Shlomo, N. and  Skinner, C.J. (2011) Indicators for Monitoring and Improving Representativeness of Response,  Journal of Official Statistics, Vol. 27, No. 2,  pp. 231-253  

Carpenter, J. and Plewis, I. (2011) Analysing Longitudinal Studies with Non-response: Issues and Statistical Methods. The Sage Handbook of Innovation in Social Research Methods, ed. Malcolm Williams and W. Paul Vogt, pp. 498-523

Sakshaug, J.W. and Kreuter, F. (2011) Using Paradata and Other Auxiliary Data to Examine Mode Switch Nonresponse in a “Recruit-and-Switch” Telephone Survey." Journal of Official Statistics 27, no. 2 pp. 339-357. eScholarID: 271587


Koskinen, J. H., Robins, G. L., and Pattison, P. E. (2010). Analysing Exponential Random Graph (p-star) Models with Missing Data Using Bayesian Data Augmentation. Statistical Methodology, Vol. 7(3), pp. 366-384

Shlomo, N. (2010) Releasing Microdata: Disclosure Risk Estimation, Data Masking and Assessing Utility. Journal of Privacy and Confidentiality   2, Number 1, pp. 73–91

Sakshaug, J.W., Yan, Y., and Tourangeau, R. (2010) Nonresponse Error, Measurement Error, and Mode of Data Collection: Tradeoffs in a Multi-Mode Survey of Sensitive and Non-Sensitive Items. Public Opinion Quarterly 74, no. 5 pp. 907-933. eScholarID: 271588


Ghilagaber, G. and Koskinen, J.H. (2009). Bayesian Adjustment of Anticipatory Covariates in the Analysis of Retrospective Data. Mathematical Population Studies, 16 (2) pp. 105–130


Skinner, C. J. and Shlomo, N. (2008) Assessing Identification Risk in Survey Micro-data Using Log Linear Models. Journal of American Statistical Association, Vol. 103, Number 483, pp 989-1001

Shlomo, N. and De Waal T. (2008) Protection of Micro-data Subject to Edit Constraints Against Statistical Disclosure. Journal of Official Statistics, 24, No. 2, pp. 1-26