Year |
Citation |
Score |
2020 |
Beaudry IS, Gile KJ. Correcting for differential recruitment in respondent-driven sampling data using ego-network information Electronic Journal of Statistics. 14: 2678-2713. DOI: 10.1214/20-Ejs1718 |
0.473 |
|
2019 |
Ott MQ, Gile KJ, Harrison MT, Johnston LG, Hogan JW. Reduced bias for respondent‐driven sampling: accounting for non‐uniform edge sampling probabilities in people who inject drugs in Mauritius Journal of the Royal Statistical Society: Series C (Applied Statistics). 68: 1411-1429. DOI: 10.1111/Rssc.12353 |
0.555 |
|
2018 |
Griffin M, Gile KJ, Fredricksen-Goldsen KI, Handcock MS, Erosheva EA. A SIMULATION-BASED FRAMEWORK FOR ASSESSING THE FEASIBILITY OF RESPONDENT-DRIVEN SAMPLING FOR ESTIMATING CHARACTERISTICS IN POPULATIONS OF LESBIAN, GAY AND BISEXUAL OLDER ADULTS. The Annals of Applied Statistics. 12: 2252-2278. PMID 31632509 DOI: 10.1214/18-Aoas1151 |
0.683 |
|
2018 |
Murai F, Rennó D, Ribeiro B, Pappa GL, Towsley D, Gile K. Selective harvesting over networks Data Mining and Knowledge Discovery. 32: 187-217. DOI: 10.1007/S10618-017-0523-0 |
0.321 |
|
2017 |
Spiller MW, Gile KJ, Handcock MS, Mar CM, Wejnert C. Evaluating Variance Estimators for Respondent-Driven Sampling. Journal of Survey Statistics and Methodology. 2017. PMID 29376083 DOI: 10.1093/Jssam/Smx018 |
0.611 |
|
2017 |
Ott MQ, Harrison MT, Gile KJ, Barnett NP, Hogan JW. Fixed choice design and augmented fixed choice design for network data with missing observations. Biostatistics (Oxford, England). PMID 29267874 DOI: 10.1093/Biostatistics/Kxx066 |
0.454 |
|
2017 |
Beaudry IS, Gile KJ, Mehta SH. Inference for respondent-driven sampling with misclassification The Annals of Applied Statistics. 11: 2111-2141. DOI: 10.1214/17-Aoas1063 |
0.474 |
|
2017 |
Gile KJ, Handcock MS. Analysis of networks with missing data with application to the National Longitudinal Study of Adolescent Health Journal of the Royal Statistical Society Series C-Applied Statistics. 66: 501-519. DOI: 10.1111/Rssc.12184 |
0.633 |
|
2016 |
Gile KJ, Handcock MS. Analysis of Networks with Missing Data with Application to the National Longitudinal Study of Adolescent Health. Journal of the Royal Statistical Society. Series C, Applied Statistics. 66: 501-519. PMID 35095118 DOI: 10.1111/rssc.12184 |
0.635 |
|
2016 |
Ott MQ, Hogan JW, Gile KJ, Linkletter C, Barnett NP. Bayesian Peer Calibration with Application to Alcohol Use. Statistics in Medicine. PMID 26940774 DOI: 10.1002/Sim.6925 |
0.355 |
|
2016 |
Ott MQ, Gile KJ. Unequal edge inclusion probabilities in link-tracing network sampling with implications for Respondent-Driven Sampling Electronic Journal of Statistics. 10: 1109-1132. DOI: 10.1214/16-Ejs1138 |
0.52 |
|
2015 |
Gile KJ, Johnston LG, Salganik MJ. Diagnostics for Respondent-driven Sampling. Journal of the Royal Statistical Society. Series a, (Statistics in Society). 178: 241-269. PMID 27226702 DOI: 10.1111/Rssa.12059 |
0.528 |
|
2015 |
Gile KJ, Handcock MS. Network Model-Assisted Inference from Respondent-Driven Sampling Data. Journal of the Royal Statistical Society. Series a, (Statistics in Society). 178: 619-639. PMID 26640328 DOI: 10.1111/Rssa.12091 |
0.729 |
|
2015 |
Handcock MS, Gile KJ, Mar CM. Estimating the size of populations at high risk for HIV using respondent-driven sampling data. Biometrics. 71: 258-66. PMID 25585794 DOI: 10.1111/Biom.12255 |
0.664 |
|
2015 |
Gile KJ, Johnston LG, Salganik MJ. Diagnostics for respondent-driven sampling Journal of the Royal Statistical Society. Series a: Statistics in Society. 178: 241-269. DOI: 10.1111/rssa.12059 |
0.446 |
|
2014 |
Handcock MS, Gile KJ, Mar CM. Estimating hidden population size using Respondent-Driven Sampling data. Electronic Journal of Statistics. 8: 1491-1521. PMID 26180577 DOI: 10.1214/14-Ejs923 |
0.684 |
|
2013 |
Baker R, Brick JM, Bates NA, Battaglia M, Couper MP, Dever JA, Gile KJ, Tourangeau R. Summary Report of the AAPOR Task Force on Non-probability Sampling Journal of Survey Statistics and Methodology. 1: 90-143. DOI: 10.1093/Jssam/Smt008 |
0.414 |
|
2011 |
Handcock MS, Gile KJ. Comment: On the Concept of Snowball Sampling. Sociological Methodology. 41: 367-371. PMID 35095124 DOI: 10.1111/j.1467-9531.2011.01243.x |
0.608 |
|
2011 |
Tomas A, Gile KJ. The effect of differential recruitment, non-response and non-recruitment on estimators for respondent-driven sampling Electronic Journal of Statistics. 5: 899-934. DOI: 10.1214/11-Ejs630 |
0.42 |
|
2011 |
Gile KJ. Improved Inference for Respondent-Driven Sampling Data With Application to HIV Prevalence Estimation Journal of the American Statistical Association. 106: 135-146. DOI: 10.1198/Jasa.2011.Ap09475 |
0.592 |
|
2011 |
Handcock MS, Gile KJ. Comment: On the concept of snowball sampling Sociological Methodology. 41: 367-371. DOI: 10.1111/J.1467-9531.2011.01243.X |
0.621 |
|
2010 |
Handcock MS, Gile KJ. MODELING SOCIAL NETWORKS FROM SAMPLED DATA. The Annals of Applied Statistics. 4: 5-25. PMID 26561513 DOI: 10.1214/08-Aoas221 |
0.66 |
|
2010 |
Gile KJ, Handcock MS. Respondent-Driven Sampling: An Assessment of Current Methodology. Sociological Methodology. 40: 285-327. PMID 22969167 DOI: 10.1111/J.1467-9531.2010.01223.X |
0.709 |
|
2009 |
van Duijn MA, Gile KJ, Handcock MS. A Framework for the Comparison of Maximum Pseudo Likelihood and Maximum Likelihood Estimation of Exponential Family Random Graph Models. Social Networks. 31: 52-62. PMID 23170041 DOI: 10.1016/J.Socnet.2008.10.003 |
0.645 |
|
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