Methods Core Seminars
Upcoming seminars
This announcement is for our rescheduled seminar (originally scheduled for April 27, 2018).
This August, the Methods Core invites Sam Dilworth and Dee Chakravarty to present a discussion covering the survey software products Qualtrics and REDCap; these products are free to UCSF employees and could be the answer to your data collection needs! In preparation for their seminar, they have crafted a brief online survey, where they hope to hear about your experiences with one or both of these products; it shouldn’t take more than 5 minutes to complete and your input is greatly appreciated!! The link to their short survey is here: short survey
Title: To ‘Qualtrics’ or to ‘REDCap’? That is the question…
Presenters: Samantha E. Dilworth, M.S. and Deepalika Chakravarty, M.S.
Center for AIDS Prevention Studies (CAPS)
Department of Medicine, UCSF
Date and Time: Tuesday, August 28, 2018, 12:00 noon– 2:00 pm
Location: AmFAR Conference room, MH-3700 , 550 16th Street (at 4th Street), 3rd Floor, Mission Bay, SF 94158
Abstract: As part of the MyResearch suite of applications, UCSF has made available two different online survey software packages: Qualtrics and Research Electronic Data Capture (REDCap). These applications are available to the UCSF Research Community and its collaborators at no extra cost. This talk will present an overview and comparison of these two applications by using examples of their real life implementation in research projects. Topics will include primary features, benefits, shortcomings, and IT-support options. The goal is to enable investigators and data analysis personnel to decide if one or both of these tools can be useful for their research studies.
Bios:
Sam Dilworth is a long-time CAPS statistician/data manager, having worked on a wide array of projects at CAPS and SFGH. Her adventures in HIV-prevention research run the gamut, from studies on a cohort of homeless women, to harm-reduction among meth-using MSM, to longitudinal research with gay couples. As a data manager, she has extensive experience with programming surveys, maintaining databases for, and producing analysis-ready datasets from multiple data collection/survey software packages, including Qualtrics, RedCAP, QDS, CASIC, and Survey Monkey. Her statistical qualifications afford her the benefit of knowing how best to capture the data in terms of how it is needed for data quality, precision, and analysis. She has consulted with and advised other researchers on survey software solutions; created protocols for survey testing, data collection, and data management; and is driven to find, master, and apply the best survey software available for the needs of the study.
Ms. Chakravarty is a biostatistician at CAPS experienced in survey programming, survey data management and statistical analyses of HIV related data from diverse populations. She has been the statistician and data manager on numerous longitudinal studies including multi-site HRSA-funded demonstration studies as well as NIMH-funded studies on gay couples. She has programmed and managed surveys for Computer Assisted Survey Instrument (CASI) administration using QDS, REDCap and Qualtrics. She has created databases to facilitate the day-to-day recruitment tracking and similar administrative aspects of longitudinal dyadic studies. She has also developed data collection and data management protocols, trained appropriate personnel and supervised data collection. RSVP to Estie Hudes.
Materials from past seminars
Qualitative
- March 2010 — Diving In: Rapid Appraisal and Its Application: Emily Arnold, PhD
Quantitative
- August 27, 2018 -- Sam and Dee XXXXX
- February 6, 2018 - Ida Sim, MD, PhD (UCSF): Mobile apps and sensors to improve health and manage disease for populations and individuals interventions for marginalized populations
- December 5, 2017 - Naihua Duan (Columbia University) and Richard Kravitz (UC Davis): ASA-sponsored webinar: "Small Data, N-of-1 Trials, and Personalized Medicine"
- November 27, 2017 - Carl Latkin, PhD: Interactive workshop in developing and tailoring social network instruments and social network behavior change interventions for marginalized population
- April 20, 2017 - Bengt Muthen, Tihomir Asparouhov, and Ellen Hamaker: ASA-sponsored webinar: Intensive Longitudinal Data Analysis Using Mplus
- March 7, 2017 - David Benkeser, PhD: Optimally Combining Outcomes To Improve Prediction
- January 20, 2017 - Carl A. Latkin, PhD: Randomized clinical trials of social network approaches to HIV prevention and care: Lessons learned
- May 17, 2016 — John A. Schneider MD, MPH, PhD: Social Network Data Collection Approaches and Strategies for Introductory Analysis and Intervention PlanningVideo
- May 3, 2016 — Tor Neilands, PhD, Kim Koester, MA & Troy Wood, MA: An Introduction to Survey Scale Development and Cognitive Interviewing
- April 19-20, 2016 — Blair Johnson, PhD & Tania Huedo-Medina, PhD: Meta-Analysis workshop
- Mar 11, 2016 – Jitendra Ganju, PhD: Making Clinical Trial Results Robust
- Feb 19, 2016 — Mike Speed, SAS Institute: Variable Selection and Miner Enterprise
- Jan 19, 2016 – Steve Gregorich, PhD: Introduction to the Interrupted Times Series Design
- Dec 11, 2015 — Estie Hudes, PhD MPH: Report back from the 2015 North American Stata Conference
- Nov 17, 2015 - Wenjing Zheng, PhD: Adaptive Trial Designs.
- Sept 8, 2015 - Lucy Popova, PhD: Randomized Behavioral Clinical Trials: 10 Lessons I Learned from the NIH Summer Institute
- May 19, 2015 – Dr. Inbal Nahum-Shani & Nicholas Seewald : SMART Workshop
- Apr 17, 2015 — Lance Pollack, PhD: “Issues in Surveys of Sexual Behavior: Problems with the Samples, the Questions, the Answers, and Whether Frisky Really Means Risky”
- Mar 24, 2015 – Andrew Curtis, PhD: “Mapping the Impossible: Geospatial Approaches for Challenging Environments“
- Feb 27, 2015 – Tor Neilands, PhD and Estie Hudes, PhD MPH: “Handling Missing Data, Part 2″
- Feb 13, 2015 – Tor Neilands, PhD and Estie Hudes, PhD MPH: “Handling Missing Data, Part 1″
- Jan 16, 2015 — Tor Neilands, PhD and Eric Vittinghoff, PhD: “Sample size and power calculations for joint testing of indirect effects”
- December 12, 2014: Johannes Thrul , PhD: “Using participants’ own mobile phones for Ecological Momentary Assessment – insights from a study with young adult smokers”
- September 19, 2014 — Estie Hudes, PhD MPH: “Report Back from the 2014 Stata Conference in Boston”
- May 15, 2014: Steve Gregorich, PhD: “Power Analysis for Logistic Regression Models Fit to Clustered Data: Choosing the Right Rho”
- April 18, 2014: Lance Pollack, PhD: Conversational Interviewing vs. Standardized Interviewing: Initial Quantitative Findings from an Experiment Using a Sexual Behavior Assessment of MSM
- February 21, 2014 – Ann Lazar, PhD : ”The Johnson-Neyman technique for clustered data”
- January 14, 2014: Tor Neilands, PhD & Estie Hudes, PhD, MPH: “Handling Missing Data, Part 2”
- Seminar Announcement
- Slides
- Example 1 do file; Ex 1 log; TracePlot_1;TracePlot_2; MIDiagPlot_1; MIDiagPlot_2
- Example 2 do file; Ex 2 log; TracePlot_1; TracePlot_2; MIDiagPlot_3;
- g1_1_extrindxg; g1_1_ntwrksmk; g1_1_smokdays;
- extrindx_15_75_kd; ntwrksmk_15_75_kd; smokdays_15_75_kd
- Video recording (limited time)
- December 3, 2013 –Tor Neilands, PhD & Estie Hudes, PhD, MPH: “Handling Missing Data, Part 1”
- November 15, 2013 — Stephanie Sapp, MA, PhD candidate and Meghan Morris, PhD MPH: “Spontaneous HCV Clearance in IDU: Estimating Variable Importance Measures with Interval Censored Outcomes”
- November 7, 2013 — John Boscardin, PhD: Optimism of Best Subset Selection by AIC/BIC for Prognostic Model Building
- Seminar announcement
- Slides
- Video Recording (link available until 11/21/13)
- Video File available from estie dot hudes at ucsf dot edu
- October 2013: Susan Murphy, PhD: “SMART Study Designs for Developing Adaptive Interventions”
- Seminar Announcement
- Slides
- Video File available from estie dot hudes at ucsf dot edu
- September 2013 – Ali Mirzazadeh, MD PhD MPH: “Network Scale-Up to Estimate the Population Size of High-Risk Groups for HIV”
- Announcement
- Slides
- Excel – data
- Video (sorry — some of the later slides are not visible)
- April 2013 – Steve Gregorich, PhD: Models of binary outcomes with 3-level data: A comparison of some options within SAS
- February 2013 — Journal Club: “Multiple Imputations using Chained Equations (MICE)”. Moderated by Tor Neilands, PhD & Estie Hudes, PhD, MPH
- January 2013 – Handling Missing Data, Part II:Tor Neilands, PhD & Estie Hudes, PhD, MPH
- December 2012 – Handling Missing Data, Part I:Tor Neilands, PhD & Estie Hudes, PhD, MPH
- November 2012 — Causal Inference in HIV Research: Sherry Rose, PhD, and Elise Riley, PhD
- September-October 2012 — 4-session worshop on Repeated Measures Analysis using Stata: Charles McCulloch, PhD (joint presentations with TAPS)
- May 2012 — Use Exploratory Factor Analysis Oblique Principal Component Cluster Analysis to Uncover the Underlying Structure of Self-Report Instruments: Steve Gregorich, PhD
- April 2012 — Strengthening Causal Inference in HIV Prevention Studies: Introduction and Practical Examples:Drs. Carol Camlin, Mi-Suk Kang Dufour, Sheri Lippman, and Starley Shade
- March 2012 — Using Time-Location Sampling to Identify and Recruit High-Risk MSM: Lance Pollack, PhD
- Seminar announcement
- Materials to be added after publication
- February 2012 — Mediation for the 21st Century: Ross Boylan, PhD
- January 2012 — SAS 9.3 Enhancements for Statistical Analysis: Tor Neielands, PhD
- December 2011 — Report back from the Stata Conference, Chicago 2011: Estie Hudes, PhD, MPH
- November 2011 — Design and Sample-Size Issues for Cluster-Randomized Trials: Can We Do Better Than Hand-Waving?: Edwin Charlebois, PhD, MPH
- October 2011 — Introduction to Social Network Analysis: Theory and Methods: George A. Barnet, PhD
- September 2011 — Comparing odds ratios across nested logistic regression models: Steve Gregorich, PhD
- May 2011 — Journal Club: Standard of Statistical Evidence–Are We Drawing the Right Conclusions from the Statistics We Employ? Moderated by Drs. Wayne Steward and Estie Hudes
- Reading materials: bem2011, bem2011comments)
- April 2011 — An Approach to Minimizing Problematic Data in an ACASI Sexual Behavior Assessment: Lance Pollack, PhD
- March 2011 — Sex, Drugs, and HIV—Decomposing Network Contributions of Different Risk Behaviors: Jimi Adams, PhD
- January 2011 — Cognitive Interviewing
- How Cognitive Interviewing Works: Johnny Blair, Abt. Associates
- A Conversation about Conversational Interviewing: Frederick Conrad, PhD, University of Michigan
- December 2010 — The iPrEx Study: Chemoprophylaxis for HIV Infection: Dave Glidden, PhD, Professor, Division of Biostatistics
- New England Journal of Medicine article: Preexposure Chemoprophylaxis for HIV Prevention in Men Who Have Sex with Men (Note: this article is available for free only during the month of December 2010.)
- November 2010 — Handling X-side Missing Data with Mplus: Tor Neilands, PhD
- PDF of the Mplus outputs, which contain the Mplus input file information and corresponding output for all 4 examples discussed in the slides (Warning: this is a very long file)
- usnews.dta: Stata version of the Paul Allison USNews data set used in the first example
- usnews.txt: ASCII version of the USNews data set
- usnews_Mplus_Models.do: Stata.do file version of the 4 Allison Mplus examples
- Allison_Example_Stata-to-Mplus.log: Log file of Stata version of the 4 Allison Mplus linear regression examples
- Hoff_Mplus_Models.do: Stata.do file version of the 2 Hoff Mplus examples
- Hoff_Example_Stata-to-Mplus.log: Log file of Stata version of the 2 Hoff clustered logistic regression examples
- October 2010 — Introduction to Structural Equation Modeling/Causal Inference Methods: Maya Petersen, PhD, MD, Assistant Professor of Biostatistics and Epidemiology, UC Berkeley
- May 2010 — Medication Adherence
- Medication Adherence: Tailoring the Analysis to the Data: Parya Saberi
- Log-Gamma Modeling of HIV Medication Adherence Data Using SAS: Tor Neilands
- PDF of slides
- Janet Tooze mixcorr SAS macro program to fit the zero-inflated log-gamma with random intercepts model
- Tooze article that provides the statistical background for the macro
- PDF of Dale McLerran post to SAS-L listserv
- SAS programs used to analyze the HLP and Balance data
- April 2010 — Journal Club: Discussion of an article by Meng in the American Statistician.
- February 2010 — On Double Sampling Designs for Dropouts: Dave Glidden, PhD
- January 2010 — New Features in Stata 11 Estie Hudes, PhD, MPH: More about mi/What’s New 10 to 11/Stata goodies Tor Neilands, PhD: The mi command for Multiple Imputations Lance Pollack, PhD: Factor Variables Starley Shade, PHD, MPH: The margin command
- Materials from the presentations (Zip file)
- December 2009 — Statistical CSI: An attempt to detect fraud in papers published from a medical biochemistry department by Mark Hudes, PhD
- November 2009 — Searching for Latent Patterns in Longitudinal Data: How Well Do Latent Growth Mixture Models Work? by Kevin Delucchi , PhD
- October 2009 — Application of Growth Mixture Models to Explore Multiple Developmental Trajectories by Christy Boscardin, PhD
- September 2009 — Report back from the August 2009 Stata Conference in Washington DC by Estie Hudes, PhD, MPH
- Link to the Stata Conference DC 2009: http://www.stata.com/meeting/dcconf09/
- July 2009 — Introduction to probability sampling: concepts, practices, and pitfalls by Johnny Blair
- May 2009 — Adaptive Clinical Trial Designs: Changing the Population Sampled in Response to Already Accrued Data by Michael Rosenblum, PhD
- April 2009 — Probability Sampling in a Bathhouse Setting: Purpose, Practice, and Practicality by Paul Cotten
- March 2009 — Mediation Models with Binary Outcomes and/or Binary Mediators by Steve Gregorich
- February 2009 — Long-term treatment effects from a short-term RCT with a long-term, treatment-only extension by Eric Vittinghoff, PhD, MPH
- January 2009 — Causal Inference Issues in Randomized HIV Prevention Studies by David Glidden, PhD
- September 2008 — StudyTRAX software and its new features demonstration by John Putzke, PhD, MSPH
- June 2008 — Can Nonrandomized Experiments Yield Accurate Answers? A Randomized Experiment Comparing Random to Nonrandom Assignment by Dr. William Shadish
- April 2008 — Basics of Interim Analysis by Dr. Dave Glidden
- March 2008 — Prediction of random effects and effects of misspecification of their distributions by Dr. Charles McCulloch
- February 2008 — Using Regression to Analyze Randomized Trials: Valid Hypothesis Tests Despite Incorrectly Specified Models by Dr. Michael Rosenblum
- January 2008 — Repeated measures models with multiple, correlated random effects by Dr. Steve Gregorich
- November 2007 — The Bathwater Has No Baby, and the Clothes Have No Emperor: Coming to Terms with Self-Responsibility in Science and in Real Life by Dr. Mike Acree
- October 2007 — Respondent-Driven Sampling by Dr. Matthew Salganik
- An introduction to respondent-driven sampling: presentation and article
- Respondent-Driven Sampling as Markov Chain Monte Carlo: presentationand article
- September 2007 — Designing Effective Questionnaires: An Exploration of the Psychology of Question-Answering by Dr. Jon Krosnick
- June 2007 — Statistical Mediation Analysis by Dr. David MacKinnon
- May 2007 — Multiple Events in Applications: Ventilator-Free Days in Critical Care by Dr. David Glidden
- April 2007 — Enhancement of data management and epidemiological skills: analysis of the effects of hormonal contraception on the natural history of HIV-1-infected women in Nairobi and Zimbabwe by Christina Mwachari, MD
- March 2007 — Handling Missing Data by Tor Neilands and Estie Hudes
- February 2007 — Structural Equation Modeling Software Capabilities of General Interest
- January 2007 — The Tribulations of a Trial: Design Dilemmas in Testing the Efficacy of a Community-Level HIV Prevention Intervention for Young Black MSM by Susan M. Kegeles, Greg Rebchook, John Peterson, and Dave Huebner