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DTSTART;TZID=UTC:20200708T000000
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DTSTAMP:20260512T180949
CREATED:20200711T120534Z
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UID:768-1594166400-1594166400@www.hivevaluation.org
SUMMARY:7. Data Analysis and Population Size Estimations using RDS Analyst (RDS-A)
DESCRIPTION:\nDescription\n\n\n\nRespondent-driven sampling (RDS) is being widely used as an effective method to sample populations that are connected through social networks.  Some of the populations most often sampled are men who have sex with men\, sex workers\, people who inject drugs\, migrants\, and others. \n\n\n\nRDS is a chain-referral sampling used worldwide to recruit “hidden” populations that are less likely to be recruited from public venues. Since the first RDS study was conducted in 1994 in the United States\, this method has become very popular throughout the world. However\, many users of RDS struggle with understanding the theoretical parameters involved in analysing network data and selecting the appropriate estimators and software to analyse data collected through RDS methods. Recently a new analysis software\, RDS Analyst (RDS-A)\, has become available. This program has a more user friendly graphical user interface which makes analysis easier and faster than before.  This software allows for the recoding and creation of variables\, sample and population estimates\, cross-tabs\, means and other descriptive statistics as well as stratified analysis and regression. The software also has diagnostics for identifying bottlenecks\, convergence\, homophily and differential recruitment activity and for producing graphical plots. In addition\, RDS-A provides all estimators used to analyse RDS data including RDS I\, RDS II (with and without data smoothing) and the Successive Sampling estimator. Finally\, the program has a newly developed method to impute network sizes and to estimate the size of hidden populations directly from the network sizes in RDS data. \n\n\n\n \nObjectives​\n\n\n\nThe course provides participants with knowledge and understanding of the theoretical and statistical concepts upon which RDS is based as well as step by step instructions on how to explore\, diagnose problems in and analyse RDS data using RDS-A. The course addresses all steps in RDS data management and analysis\, including the best practices for more advanced analyses. The training course will address new issues in RDS and parameters that need to be addressed when planning 2nd and any subsequent rounds of RDS. Importantly\, the course addresses interpretation of RDS data\, particularly the external validity. \n\n\n\nEach participant will work on a computer with the following software: \n\n\n\n\nRDS Analyst 2.0\nExcel\nNETDRAW (freeware for recruitment chains)\nSTATA or SPSS (for logistic regression)\n\n\n\n\n \nKey topics of the course are: \n\n\n\n\nLatest information about RDS implementation and theoretical assumptions.\nImplementing and diagnosing problems in RDS samples\nRDS-A and other software that is currently available\, their capacity and limitations\nThe meaning and importance of technical concepts such as homophily\, social network sizes\, differential activity\, coarsened data and convergence\nThe interpretation of diagnostic plots and data from RDS-A\nPreparation of data files for RDS-A (Excel\, STATA\, SPSS\, Text\, SAS\, etc.)\nAnalysis of data using RDS -A\n\nAdjusted and unadjusted estimates\nStratified analyses\nExploratory and descriptive statistics\nRegression analyses\n\n\nDevelopment of plots using the plot builder\nGraphical presentation of recruitment chains using NetDraw and RDS-A\nAnalysis of trend data and joining of multiple datasets\nExport of individualized weights to conduct regression analyses\nRegression analyses using either SPSS\, STATA or R\nNetwork size imputation\nPopulation size estimation using RDS network size data\n\n\n\n\n \nTeaching Methods\n\n\n\nThe course consists of lectures and individual work on computers so that participants can get hands-on experience in RDS data management and analysis. Participants are encouraged to bring their own RDS data sets to work on\, particularly if they need to write up the results from RDS surveys for surveillance reports or scientific manuscripts.  Those without actual data will be provided with datasets. Participants should be familiar with basic statistics and Excel software. Participants are expected to bring their own laptop computers to the course. They will be given statistical programmes at the course to work with.  \n\n\n\n \nTarget Audience\n\n\n\nThis training invites principal investigators\, statisticians\, data managers and other researchers who have experience using RDS. \n\n\n\n \nExternal collaborators:\n\n\n\n\nLisa Johnston\, PhD\, Independent Consultant; University of California\, San Francisco\, Global Health Sciences; Assistant/adjunct professor\, Tulane University\, School of International Public Health and Tropical Medicine.  \n\n \nThis course was held:\n\n Zagreb\, Croatia\n Colombo\, Sri Lanka \n Baku\, Azerbaijan\n Khartoum\, Sudan \n\n \n\n\n\n  \n
URL:https://www.hivevaluation.org/training-course/data-analysis-and-population-size-estimations-using-rds-analyst-rds-a/
CATEGORIES:Courses on HIV Strategic Information Systems and Data Use
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