Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Krista J Gile

Showing results (1-10 of 18) with videos related to

Pageof 2
Sort By:
Journal of the Royal Statistical Society. Series C, Applied Statistics|January 31, 2022
Analysis of Networks with Missing Data with Application to the National Longitudinal Study of Adolescent HealthKrista J Gile, Mark S Handcock
Journal of the Royal Statistical Society. Series A, (Statistics in Society)|December 8, 2015
Network Model-Assisted Inference from Respondent-Driven Sampling DataKrista J Gile, Mark S Handcock
The Annals of Applied Statistics|November 13, 2015
MODELING SOCIAL NETWORKS FROM SAMPLED DATAMark S Handcock, Krista J Gile
Sociological Methodology|September 13, 2012
Respondent-Driven Sampling: An Assessment of Current MethodologyKrista J Gile, Mark S Handcock
Sociological Methodology|January 31, 2022
Comment: On the Concept of Snowball SamplingMark S Handcock, Krista J Gile
Biometrics|January 15, 2015
Estimating the size of populations at high risk for HIV using respondent-driven sampling dataMark S Handcock, Krista J Gile, Corinne M Mar
Electronic Journal of Statistics|July 17, 2015
Estimating hidden population size using Respondent-Driven Sampling dataMark S Handcock, Krista J Gile, Corinne M Mar
Journal of the Royal Statistical Society. Series A, (Statistics in Society)|May 27, 2016
Diagnostics for Respondent-driven SamplingKrista J Gile, Lisa G Johnston, Matthew J Salganik
Social Networks|November 22, 2012
A Framework for the Comparison of Maximum Pseudo Likelihood and Maximum Likelihood Estimation of Exponential Family Random Graph ModelsMarijtje A J van Duijn, Krista J Gile, Mark S Handcock
American Journal of Pharmaceutical Education|June 25, 2020
Examining the Relationship Between Biometric Indicators and Pharmacy Students' Academic PerformanceEric C Nemec, Michael C Thomas, Krista J Gile, et al.
Pageof 2

Showing results (1-10 of 18) with videos related to

Sort By:
Pageof 2
Journal of the Royal Statistical Society. Series C, Applied Statistics|January 31, 2022
Analysis of Networks with Missing Data with Application to the National Longitudinal Study of Adolescent HealthKrista J Gile, Mark S Handcock
Journal of the Royal Statistical Society. Series A, (Statistics in Society)|December 8, 2015
Network Model-Assisted Inference from Respondent-Driven Sampling DataKrista J Gile, Mark S Handcock
The Annals of Applied Statistics|November 13, 2015
MODELING SOCIAL NETWORKS FROM SAMPLED DATAMark S Handcock, Krista J Gile
Sociological Methodology|September 13, 2012
Respondent-Driven Sampling: An Assessment of Current MethodologyKrista J Gile, Mark S Handcock
Sociological Methodology|January 31, 2022
Comment: On the Concept of Snowball SamplingMark S Handcock, Krista J Gile
Biometrics|January 15, 2015
Estimating the size of populations at high risk for HIV using respondent-driven sampling dataMark S Handcock, Krista J Gile, Corinne M Mar
Electronic Journal of Statistics|July 17, 2015
Estimating hidden population size using Respondent-Driven Sampling dataMark S Handcock, Krista J Gile, Corinne M Mar
Journal of the Royal Statistical Society. Series A, (Statistics in Society)|May 27, 2016
Diagnostics for Respondent-driven SamplingKrista J Gile, Lisa G Johnston, Matthew J Salganik
Social Networks|November 22, 2012
A Framework for the Comparison of Maximum Pseudo Likelihood and Maximum Likelihood Estimation of Exponential Family Random Graph ModelsMarijtje A J van Duijn, Krista J Gile, Mark S Handcock
American Journal of Pharmaceutical Education|June 25, 2020
Examining the Relationship Between Biometric Indicators and Pharmacy Students' Academic PerformanceEric C Nemec, Michael C Thomas, Krista J Gile, et al.
Pageof 2