| 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 | 752 | 2013 |
| Comment: On the concept of snowball sampling MS Handcock, KJ Gile Sociological methodology 41 (1), 367-371, 2011 | 691 | 2011 |
| 7. Respondent-driven sampling: An assessment of current methodology KJ Gile, MS Handcock Sociological methodology 40 (1), 285-327, 2010 | 663 | 2010 |
| Modeling social networks from sampled data MS Handcock, KJ Gile The Annals of Applied Statistics 4 (1), 5, 2010 | 387 | 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 | 301 | 2011 |
| Diagnostics for respondent-driven sampling KJ Gile, LG Johnston, MJ Salganik Journal of the Royal Statistical Society. Series A,(Statistics in Society …, 2015 | 236 | 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 | 205 | 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 | 197 | 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 | 111 | 2007 |
| Estimating hidden population size using respondent-driven sampling data MS Handcock, KJ Gile, CM Mar Electronic journal of statistics 8 (1), 1491, 2014 | 101 | 2014 |
| 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 | 90 | 2015 |
| The effect of differential recruitment, non-response and non-recruitment on estimators for respondent-driven sampling A Tomas, KJ Gile | 73 | 2011 |
| RDS Analyst: Software for the analysis of Respondent-Driven Sampling data MS Handcock, IE Fellows, KJ Gile Version 0.42, 2014 | 70 | 2014 |
| Multi-institutional study of GRE scores as predictors of STEM PhD degree completion: GRE gets a low mark SL Petersen, ES Erenrich, DL Levine, J Vigoreaux, K Gile PLoS One 13 (10), e0206570, 2018 | 64 | 2018 |
| 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 | 51 | 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 | 51 | 2006 |
| 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 | 44 | 2017 |
| Modeling social networks with sampled or missing data MS Handcock, K Gile Center for Statistics in the Social Sciences, Univ. Washington. Available at …, 2007 | 43 | 2007 |
| Methods for inference from respondent-driven sampling data KJ Gile, IS Beaudry, MS Handcock, MQ Ott Annual Review of Statistics and Its Application 5, 65-93, 2018 | 29 | 2018 |
| Evaluating variance estimators for respondent-driven sampling MW Spiller, KJ Gile, MS Handcock, CM Mar, C Wejnert Journal of survey statistics and methodology 6 (1), 23-45, 2018 | 27 | 2018 |
