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
  • 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-Sa╠ünchez, 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