Consultation
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=== RDS Analyst Software Consultation === | === RDS Analyst Software Consultation === | ||
| - | + | January 25 - 26, 2016 | |
'''Venue''': Centers for Disease Control | '''Venue''': Centers for Disease Control | ||
| Line 14: | Line 14: | ||
RDS is a relatively new methodology used worldwide to gather HIV prevalence and risk factors data from hard to reach populations. In this consultation, the Hard-to-Reach Population Methods Research Group (HPMRG) is pleased to introduce a new comprehensive, user friendly and open-source software package for the analysis of RDS Data. The new software, RDS Analyst (RDS-A), includes a user friendly point-and-click graphical user interface allowing for the computation of new and existing estimators and standard errors, visualization of recruitment chains, and diagnostic analysis. It allows for the analysis of multiple variables at once, and the saving and re-use of syntax. For more technical users, the package may also be accessed through a command line interface to the open-source R programming language (http://www.r-project.org/). | RDS is a relatively new methodology used worldwide to gather HIV prevalence and risk factors data from hard to reach populations. In this consultation, the Hard-to-Reach Population Methods Research Group (HPMRG) is pleased to introduce a new comprehensive, user friendly and open-source software package for the analysis of RDS Data. The new software, RDS Analyst (RDS-A), includes a user friendly point-and-click graphical user interface allowing for the computation of new and existing estimators and standard errors, visualization of recruitment chains, and diagnostic analysis. It allows for the analysis of multiple variables at once, and the saving and re-use of syntax. For more technical users, the package may also be accessed through a command line interface to the open-source R programming language (http://www.r-project.org/). | ||
| - | The purpose of this consultation | + | The purpose of this consultation discuss the advanced use of RDS-A with researchers already experienced in RDS methodology and statistics. Participants will receive training on the RDS-A state-of-the-art analysis and graphic functions and will be asked to provide feedback in the interest of improving the software prior to more widespread distribution among users of RDS. |
| - | This consultation is designed as an | + | This consultation is designed as an exploration of the advanced analysis of RDS data using RDS-A. |
It will cover the full RDS-A suite of functions. This begins with data entry and loading data, coding missing data, and re-coding variables. It then treats descriptive and diagnostic methods including visualization methods, followed by existing and new tools for estimation, testing models, confidence intervals and sensitivity analysis. The consultation concludes with an introduction to the re-usable syntax and R command line capabilities of the software. | It will cover the full RDS-A suite of functions. This begins with data entry and loading data, coding missing data, and re-coding variables. It then treats descriptive and diagnostic methods including visualization methods, followed by existing and new tools for estimation, testing models, confidence intervals and sensitivity analysis. The consultation concludes with an introduction to the re-usable syntax and R command line capabilities of the software. | ||
| Line 22: | Line 22: | ||
The consultation is be for researchers in epidemiology, social, behavioral and statistical sciences with experience using RDS methodology and theory. If possible please bring a lap top. If you can not you should be able to share with someone who does. | The consultation is be for researchers in epidemiology, social, behavioral and statistical sciences with experience using RDS methodology and theory. If possible please bring a lap top. If you can not you should be able to share with someone who does. | ||
| - | == | + | == Reference Presentations == |
| - | + | * [https://www.dropbox.com/s/rx398yssdunb7b8/0.pdf?dl=0 0. Introduction Motivation for RDS Analyst] | |
| - | + | * [https://www.dropbox.com/s/63ugy7zno9dm02d/I.pdf?dl=0 I. Overview of RDS from a Statistical Perspective] | |
| - | + | * [https://www.dropbox.com/s/f38np5vvgritso9/II.pdf?dl=0 II. Structure of the RDS-A program] | |
| - | * [https://www.dropbox.com/s/ | + | * [https://www.dropbox.com/s/vuw5z3cy8pf7t8h/III.pdf?dl=0 III. Reading in RDS data to RDS-A] |
| - | + | * [https://www.dropbox.com/s/p3jpcqhnro26scz/IV.pdf?dl=0 IV. Data manipulation: Recoding, transformations, missing data] | |
| - | * [https://www.dropbox.com/s/ | + | * [https://www.dropbox.com/s/metfbv6exnhq3sx/V.pdf?dl=0 V. Exploratory Data Analysis] |
| - | * [https://www.dropbox.com/s/ | + | * [https://www.dropbox.com/s/949ahzud8x660nm/VI.pdf?dl=0 VI. Computation of point estimates] |
| - | * [https://www.dropbox.com/s/ | + | * [https://www.dropbox.com/s/r36duudgeze829s/VII.pdf?dl=0 VII. Estimation of uncertainty: confidence intervals and standard errors] |
| - | * [https://www.dropbox.com/s/ | + | * [https://www.dropbox.com/s/5pooutda2dge7g4/VIII.pdf?dl=0 VIII. RDS diagnostics and sensitivity analysis] |
| - | * [https://www.dropbox.com/s/ | + | * [https://www.dropbox.com/s/nag56o7f4t2nngo/IX_all.pdf?dl=0 IX. Advanced features in RDS-A] |
| - | * [https://www.dropbox.com/s/ | + | * [https://www.dropbox.com/s/p912syja3440bpy/X_A.pdf?dl=0 X. Population size estimation (Motivation)] |
| - | * [https://www.dropbox.com/s/ | + | * [https://www.dropbox.com/s/6w2uy54ro6abckb/X_B.pdf?dl=0 X. Population size estimation (Technical Details)] |
| - | * [https://www.dropbox.com/s/ | + | * [https://www.dropbox.com/s/51hpytiqj7ms9vz/X_C.pdf?dl=0 X. Population size estimation using RDS-A] |
| - | * [https://www.dropbox.com/s/ | + | * [https://www.dropbox.com/s/0557rqgzj6ix9gu/XI_advanced.pdf?dl=0 XI. Analysis of Trends] |
| - | * [https://www.dropbox.com/s/ | + | * [https://www.dropbox.com/s/0557rqgzj6ix9gu/XXX.pdf?dl=0 XXX. Discussion and Future Work] |
| - | *[https://www.dropbox.com/s/ | + | |
| - | *[https://www.dropbox.com/s/ | + | |
| - | *[https://www.dropbox.com/s/ | + | |
* Step-by-step anatomy of a full RDS analysis | * Step-by-step anatomy of a full RDS analysis | ||
Current revision as of 00:46, 24 January 2016
Contents |
RDS Analyst Software Consultation
January 25 - 26, 2016
Venue: Centers for Disease Control ICF Macro, Corporate Square, Bldg 3 (3rd floor, check in at receptionist) 3 Corporate Blvd NE #370 Atlanta, GA 30329
Sponsor: CDC
Description
RDS is a relatively new methodology used worldwide to gather HIV prevalence and risk factors data from hard to reach populations. In this consultation, the Hard-to-Reach Population Methods Research Group (HPMRG) is pleased to introduce a new comprehensive, user friendly and open-source software package for the analysis of RDS Data. The new software, RDS Analyst (RDS-A), includes a user friendly point-and-click graphical user interface allowing for the computation of new and existing estimators and standard errors, visualization of recruitment chains, and diagnostic analysis. It allows for the analysis of multiple variables at once, and the saving and re-use of syntax. For more technical users, the package may also be accessed through a command line interface to the open-source R programming language (http://www.r-project.org/).
The purpose of this consultation discuss the advanced use of RDS-A with researchers already experienced in RDS methodology and statistics. Participants will receive training on the RDS-A state-of-the-art analysis and graphic functions and will be asked to provide feedback in the interest of improving the software prior to more widespread distribution among users of RDS.
This consultation is designed as an exploration of the advanced analysis of RDS data using RDS-A.
It will cover the full RDS-A suite of functions. This begins with data entry and loading data, coding missing data, and re-coding variables. It then treats descriptive and diagnostic methods including visualization methods, followed by existing and new tools for estimation, testing models, confidence intervals and sensitivity analysis. The consultation concludes with an introduction to the re-usable syntax and R command line capabilities of the software.
The consultation is be for researchers in epidemiology, social, behavioral and statistical sciences with experience using RDS methodology and theory. If possible please bring a lap top. If you can not you should be able to share with someone who does.
Reference Presentations
- 0. Introduction Motivation for RDS Analyst
- I. Overview of RDS from a Statistical Perspective
- II. Structure of the RDS-A program
- III. Reading in RDS data to RDS-A
- IV. Data manipulation: Recoding, transformations, missing data
- V. Exploratory Data Analysis
- VI. Computation of point estimates
- VII. Estimation of uncertainty: confidence intervals and standard errors
- VIII. RDS diagnostics and sensitivity analysis
- IX. Advanced features in RDS-A
- X. Population size estimation (Motivation)
- X. Population size estimation (Technical Details)
- X. Population size estimation using RDS-A
- XI. Analysis of Trends
- XXX. Discussion and Future Work
- Step-by-step anatomy of a full RDS analysis
Background Materials
- Sampling: A Brief Review, including the figures.
RDS Analyst Software
RDS Analyst manual and download, including installation instructions.
Background Papers
- Respondent-Driven Sampling: An Assessment of Current Methodology by Krista J. Gile and Mark S. Handcock. Pre-print of Sociological Methodology, 40, p 285-327, 2010.
