| 7. Respondent-driven sampling: An assessment of current methodology KJ Gile, MS Handcock Sociological methodology 40 (1), 285-327, 2010 | 560 | 2010 |
| Summary report of the AAPOR task force on non-probability sampling R Baker, JM Brick, NA Bates, M Battaglia, MP Couper, JA Dever, KJ Gile, ... Journal of survey statistics and methodology 1 (2), 90-143, 2013 | 494 | 2013 |
| Comment: On the concept of snowball sampling MS Handcock, KJ Gile Sociological Methodology 41 (1), 367-371, 2011 | 440 | 2011 |
| Modeling social networks from sampled data MS Handcock, KJ Gile The Annals of Applied Statistics 4 (1), 5, 2010 | 329 | 2010 |
| Improved inference for respondent-driven sampling data with application to HIV prevalence estimation KJ Gile Journal of the American Statistical Association 106 (493), 135-146, 2011 | 261 | 2011 |
| Diagnostics for respondent-driven sampling KJ Gile, LG Johnston, MJ Salganik Journal of the Royal Statistical Society. Series A,(Statistics in Society …, 2015 | 188 | 2015 |
| A framework for the comparison of maximum pseudo-likelihood and maximum likelihood estimation of exponential family random graph models MAJ Van Duijn, KJ Gile, MS Handcock Social networks 31 (1), 52-62, 2009 | 176 | 2009 |
| A framework for the comparison of maximum pseudo-likelihood and maximum likelihood estimation of exponential family random graph models MAJ Van Duijn, KJ Gile, MS Handcock Social networks 31 (1), 52-62, 2009 | 170 | 2009 |
| Developmental contexts and mental disorders among Asian Americans DT Takeuchi, S Hong, K Gile, M Alegría Research in Human Development 4 (1-2), 49-69, 2007 | 97 | 2007 |
| Estimating hidden population size using respondent-driven sampling data MS Handcock, KJ Gile, CM Mar Electronic journal of statistics 8 (1), 1491, 2014 | 78 | 2014 |
| The effect of differential recruitment, non-response and non-recruitment on estimators for respondent-driven sampling A Tomas, KJ Gile Electronic Journal of Statistics 5, 899-934, 2011 | 65 | 2011 |
| RDS Analyst: software for the analysis of respondent-driven sampling data, Version 0.42 MS Handcock, IE Fellows, KJ Gile Los Angeles, CA: Hard to Reach Population Methods Research Group, 2014 | 50 | 2014 |
| Estimating network degree distributions under sampling: An inverse problem, with applications to monitoring social media networks Y Zhang, ED Kolaczyk, BD Spencer Annals of Applied Statistics 9 (1), 166-199, 2015 | 49 | 2015 |
| Model-based assessment of the impact of missing data on inference for networks K Gile, MS Handcock Unpublished manuscript, University of Washington, Seattle, 2006 | 47 | 2006 |
| Network model-assisted inference from respondent-driven sampling data KJ Gile, MS Handcock Journal of the Royal Statistical Society. Series A,(Statistics in Society …, 2015 | 46 | 2015 |
| Estimating the size of populations at high risk for HIV using respondent‐driven sampling data MS Handcock, KJ Gile, CM Mar Biometrics 71 (1), 258-266, 2015 | 38 | 2015 |
| Modeling social networks with sampled or missing data MS Handcock, K Gile Center for statistics and the social sciences working paper, 2007 | 38 | 2007 |
| Network model-assisted inference from respondent-driven sampling data KJ Gile, MS Handcock arXiv preprint arXiv:1108.0298, 2011 | 36 | 2011 |
| Report of the AAPOR task force on non-probability sampling. American Association for Public Opinion Research R Baker, JM Brick, NA Bates, M Battaglia, MP Couper, JA Dever, KJ Gile, ... Retrieved August 21, 2013, 2013 | 34 | 2013 |
| High enhancer, downer, withdrawal helper: multifunctional nonmedical benzodiazepine use among young adult opioid users in New York City P Mateu-Gelabert, L Jessell, E Goodbody, D Kim, K Gile, J Teubl, ... International Journal of Drug Policy 46, 17-27, 2017 | 31 | 2017 |
