RCC pre-recorded workshops

Recorded January 26, 2024

An introduction to All of Us platform and data sets. Beginning with setting up an account, Dr. Roy will present the organization of the platform and describe the strengths of using the data and why it is superior to other health data sets. Then she will discuss examples of studies that have used the data and funding opportunities. This workshop is one of a two-part series, to be followed by a workshop discussing executing projects with the All of Us data.

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Recorded February 9th

The second in a two-part series for which attendees need an All of Us account to follow Dr. Folch’s workshop. There will be a walk-through of the technical aspects of using the data. He will discuss beginning a project and creating a workspace. He will also share examples of R and Python code used in Projects. This workshop is a dive into the execution of projects using All of Us datasets.

Recorded November 3rd, 2023

A Workshop on identifying your audience and communicating science through various media outlets. Lisa Hardy, PhD, MA, is a professor of medical anthropology at NAU and founding director of the Social Science Community Engagement Lab, and editor of Practicing Anthropology. Her new book, Community Engagement Through Collaborative Writing: Storytelling Together guides this workshop. Dr. Hardy’s collaborative public scholarship appears in Vox, The Conversation, STATNews, and elsewhere.

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Recorded October 9th, 2023

As the 2023 NIH data sharing requirements show, good data management plans (DMP) are increasingly important to funders as they screen grant applications. This workshop will explain why data management planning is important, how to use the DMPTool (dmptool.org) to create your own DMP and highlight key considerations to make when creating a DMP.

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June 7, 1:00 pm -2:00 pm MST
Online

A workshop introducing the PhenX Toolkit, a web-based catalog of recommended measurement protocols. Attendees will be oriented to the toolkit and have opportunities to ask questions about their specific research. Presenters from the National Institutes of Health, Jyoti Dayal, Project Scientist for PhenX (National Human Genome Research Institute), and Nancy Jones, Supplemental Project Leader (National Institute on Minority Health and Health Disparities) will introduce the various uses and benefits of using the toolkit. The goal of the PhenX program is to identify and catalog high-quality, well-established, and broadly applicable measures for research domains for use in GWA studies and other large-scale genomic and epidemiologic research. Development and adoption of standard phenotypic and exposure measures could facilitate the creation of larger, more comprehensive datasets with a variety of phenotype and exposure data for cross-study analysis, thus increasing statistical power and the ability to detect associations of modest effect sizes and gene-gene and gene-environment interactions.  The Toolkit measures include background information, standard operating procedures, common data elements, controlled vocabularies, a glossary of terms, and standard analytic procedures to harmonize similar measures.  In 2020, the Toolkit added a Social Determinants of Health Collection to facilitate minority health and health disparities research as well.

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with Kathryn Claypool

February 10, noon–2 p.m.
Online

Access Arizona Department of Health Services (ADHS) health data through an honest broker for use in health research. Learn about how an honest broker can provide your research team with de-identified health data, acting as a mechanism of compliance for responsible research. Kathryn Claypool is a Research Data Manager at Arizona State University and Health Informatics Expert. She introduces how researchers connect with honest brokers and the process of requesting ADHS health data access.

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Thomas J. Champagne Jr, Associate Vice President of Research

(Recorded on February 3, 2022)

This workshop provides a very basic introduction to RStudio including understanding the interface, how to import and export data, manage data, basic statistics, and simple data visualization techniques. The workshop uses a mock dataset to give hands-on experience with using R-studio. No previous knowledge of R is required.. Register for the pre-recorded workshop 

Indrakshi Roy, Biostatistician, Center for Health Equity Research

(Recorded on February 9, 2022)

During this 90-minute session, representatives from NAU’s Office of Sponsored Programs guide participants through the key fundamentals of pre- and post-award management. The group will explore how grants and contracts are identified, pursued, negotiated, awarded, and compliantly managed. Along the way, the group emphasizes key points of partnership, faculty service, and how faculty and staff play a key role in the overall process. Along with comprehensive visual materials, a Q&A session keeps the session interesting and engaging. Register for the pre-recorded workshop 

Toby Hocking, Associate Professor, School of Informatics, Computing and Cyber Systems

(Recorded on February 28, 2022)

Interactive data visualization enables users to directly manipulate and explore graphical representations of data which can be useful for understanding patterns in large data sets, exploratory data analysis, research, and teaching. This tutorial explains how to create animated and interactive data visualizations using the animint2 R package.. Register for the pre-recorded workshop 

Lisa Hardy, Associate Professor, Department of Anthropology

(Recorded on March 5, 2022)

This workshop introduces strategies for bringing research to public audiences. Participants will be guided through a series of practical steps to develop stories for publication in multiple media. A facilitated discussion and practical tools will provide plans for identifying intended audiences and outlets and drafting pitches for publication. Register for the pre-recorded workshop 

Heidi A. Wayment, Professor and Chair, Department of Psychological Sciences

(Recorded on March 24, 2022)

Social network analysis (SNA) allows for the examination of how configurations of social networks may influence how individuals and groups function. This presentation will provide a general overview of SNA and why and how it can enhance traditional social science and health-related research. Topics include a review of the basic elements of SNA, examples of its use in social and health-related research, methods for collecting SNA data, and a brief review of additional resources. Register for the pre-recorded workshop 

Robert Wickham, Assistant Professor, Department of Psychological Sciences

(Recorded on April 7, 2022)

This workshop describes techniques for the analysis of multilevel study designs using mixed effects models. We begin with a general introduction to hierarchically nested data structures, followed by a description of the basic random intercept and random intercept+slope models for 2-level designs. The second portion of the workshop discusses issues related to centering of predictor variables, contextual effect analysis, and cross-level interactions. Worked examples are provided for SAS, SPSS, and R. Register for the pre-recorded workshop 

Michael Petillo, Senior Research Coordinator

(Recorded on May 9, 2022)

Qualitative data analysis software (QDAS) such as NVivo can assist researchers with coding, organizing, analyzing, visualizing, and storing qualitative data from interviews, focus groups, social media, and more. This workshop provides beginner users with an overview of NVivo features, tools and techniques that can save time and strengthen results. Register for the pre-recorded workshop 

David Folch, PhD, Assistant Professor, Geography, Planning and Recreation

(Recorded on May 19, 2022)

Python is a general purpose programming language that has become one of the leading languages in the data science, data analytics and data management fields due to its straightforward syntax, interactive design and free availability. This workshop provides an introduction to Python and a hands-on lab where participants learn how to perform basic data manipulation, visualization, and statistical tasks. Register for the pre-recorded workshop 

Ricky Camplain, PhD, Assistant Professor, Center for Health Equity Research and Department of Health Sciences

(Recorded on June 1, 2022)

SAS continues to be the standard data management and statistical analysis software for the biomedical and public health sciences, including public health departments and clinical and research health sciences university departments. This workshop will demonstrate access to and major features of SAS Software, including reading in datasets, data management basics (e.g., recoding, merging, combining datasets), and basic statistics. Ahead of the workshop: Access apps.nau.edu, go to the Mathematics and Statistics Folder and find the SAS app icon. Register for the pre-recorded workshop 

Monica Lininger, PhD, Associate Professor, Athletic Training Program
Michael Petillo, Senior Research Coordinator

(Recorded on June 9, 2022)

Are you new to SPSS or do you need a refresher? This interactive workshop explores key features of Statistical Package for the Social Sciences (SPSS), a Windows-based predictive analytic software that can be used for a range of statistical analyses, data management, and quantitative reporting. Using a sample data set, we’ll practice using the software for data cleaning, descriptive statistics, correlational analysis, graphical representations, and SPSS research. SPSS is available through NAU Information Technology Services; download the software prior to the workshop. Register for the pre-recorded workshop 

(Recorded on July 12, 2022)

If you want to develop your statistical skills but are intimidated by programming-based tools like R, JMP is an intuitive SAS-based program that allows you to conduct powerful statistical analysis even if you are not a programming guru. This hands-on workshop will offer basic analysis tools for data cleaning, descriptive statistics, correlation analysis and graphical representation of your data. JMP is available through apps.nau.edu or through NAU ITS. Participants should download the software or become familiar with accessing the program through apps.nau.edu.

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(Recorded July 21, 2022)

This workshop is designed to provide a very basic introduction to RStudio (understanding the interface, how to import and export data, manage data, and basic statistics). The workshop aims to explain in simple terms, the basic terminologies in R. Simple data visualizations will be covered. A mock dataset is used to give hands-on experience with using R-studio functions.No previous knowledge of R is required.

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(Recorded September 27, 2022)

This workshop demonstrates some of the analysis frameworks within the JMP statistical platform. It covers how to set up your data for t-tests, one-way and two-way ANOVA’s or Kruskal Wallis tests. It is recommended that the JMP into Stats workshop be viewed prior to the intermediate-level workshop. Both workshops follow a similar framework of hypothesis testing and examining results to evaluate outcomes.

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(Recorded October 4, 2022)

Have you attended an introductory workshop on SPSS and need the next level of instruction? This interactive workshop provides instruction for inferential statistics including t-tests, ANOVAs, and chi-squares using SPSS. SPSS is available though NAU ITS; participants should download the software prior to viewing. This workshop is designed to follow viewing the Introduction to SPSS workshop.

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(Recorded October 11, 2022)

Covidence is software designed for managing and streamlining your systematic review. It can perform the following functions to make review production more efficient: upload search results, screen abstracts and full body text study reports, complete data collection, conduct risk of bias assessment, resolve dosagreements, export data into RevMan or Excel. In this session, librarian Pamela Buzzard shows how the software could support your systematic review production and answers questions from researchers.

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(Recorded October 20, 2022)

This interactive workshop provides instruction for inferential statistics including t-tests, ANOVAs, chi-squares using R. R is a free statistical software; participants should download the software prior to viewing. Participants should also review the Introduction to R recording prior to viewing.

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(Recorded on November 3, 2022)

This workshop covers three models for mixed methods research design. Model 1: Explaining the Numbers. This mode; presents a mixed methods design that focuses on a sequential quantitative-qualitative mixed methods process where the qualitative research is designed to be an enhancement and a translational process for understanding a hypothesis-driven research program. Model 2: Creating questions and tests of hypothesis. Model 3: Balanced or Integrative Mixed Methods Design. This model allows for a longitudinal (iterative) mixed methods design that is valuable for creating and implementing program impact designs.

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David Folch, Assistant Professor, Department of Geography, Planning and Recreation

(Recorded on  January 15, 2021)
This hands-on virtual workshop  introduces participants to GIS and spatial analysis techniques using the ArcGIS Pro desktop software package. Participants will learn how to load and manipulate spatial data, analyze data and create maps for
presentation.

This workshop uses NAU’s remote desktop, so no GIS software installation is necessary to participate. This hands-on virtual workshop will introduce participants to GIS and spatial analysis techniques using the R statistical programming language. Participants will learn how to load and manipulate spatial data, analyze data and create maps for presentation.
This workshop assumes participants have R and RStudio already installed on their
computers, and have a basic understanding of the language. Register for the pre-recorded workshop

Regents’ Professor Robert T. Trotter II

(Recorded on January 26, 2021)

This hands-on virtual workshop offers a pragmatic introduction to key design elements for conducting successful focus groups. Topics include exploring decision points for engaging focus group theory, methodology, staffing, sampling, recruitment, question development, data processing and management, analysis software, and successful analytical strategies. Register for the pre-recorded workshop

Indrakshi Roy, Biostatistician

(Recorded on February 11, 2021)

This workshop will discuss how to choose the appropriate quantitative research design for a study. We will talk about several different quantitative research designs — when and why a design is chosen — identify the design that is most appropriate for our research — justify why it is the best choice. Register for the pre-recorded workshop

Anita Antoninka, Assistant Research Professor
School of Forestry

(Recorded on February 26, 2021)

In this two-hour workshop, Antoninka uses examples to present the principles and rules for SEM, demonstrates a few types of variables and models, as well as the strengths and weaknesses of an SEM approach. The last part of the workshop is hands-on practice building simple models in SPSS AMOS. She provides resources for learning more about SEM and for building models in R. Register for the pre-recorded workshop

Brittany Blanchard and Pamela Buzzard, Cline Librarians

(Recorded on March 17, 2021)
Are you required by your funder to submit a DMP but aren’t sure what is needed? In this workshop, Brittany Blanchard and Pamela Buzzard will cover the basics of data management, why it is important to create and follow a DMP, and ways the library can help. There will be a specific focus on NIH and NSF requirements. Register for the pre-recorded workshop

Indrakshi Roy, biostatistician, Center for Health Equity Research

(Recorded on March 25, 2021)
Understanding the origin, structure and contents of Medicare data is essential to designing a successful research project. NAU’s CHER/ SHERC has bought some of this data and it is an excellent opportunity for researchers to use this data for their studies. This workshop delivers an overview of Medicare program, describes available research files, and provides information on how to request data. Register for the pre-recorded workshop

Julia Gardner, Assistant Clinical Professor, Department of Health Sciences

(Recorded on June 10, 2021)
This workshop covers how to build and run surveys in REDCap based on two examples: a simple survey and a chain of surveys. Participants will learn how to best build surveys and automated invitations. The topics covered are basic survey setup, branching logic, survey distribution, and survey management. The workshop was interactive and participants had the opportunity to practice building a survey in REDCap. Register for the pre-recorded workshop

Melissa Beresford, Assistant Professor, Department of Anthropology, San José State University

(Recorded on June 17, 2021)
This hands on, two-day workshop teaches systematic approaches for analyzing qualitative data. Participants learn building block techniques, including theme identification and codebook development, which can be used across many analytic traditions. Register for the pre-recorded workshop

Melissa Beresford, Assistant Professor, Department of Anthropology, San José State University

(Recorded on June 17, 2021)
This hands on, two-day workshop teaches systematic approaches for analyzing qualitative data. Participants learn building block techniques, including theme identification and codebook development, which can be used across many analytic traditions. Register for the pre-recorded workshop

Robert T. Trotter, II Regents’ Professor, Department of Anthropology

(Recorded on June 17, 2021)
This workshop identifies, describes, and discusses the key elements that are present in successfully funded NIH and NSF qualitative research projects. Elements include: scientific premise, appropriate staffing, innovation and scientific rigor. Dr. Trotter will discuss needed resources and available RIC resources. Register for the pre-recorded workshop

David Faguy, Associate Vice President, Research, Office of Research Compliance

(Recorded on July 1, 2021)
This interactive seminar will review definitions and common terms, then explore the general rules and standards of appropriate data management in accordance with sponsors, NAU, human subjects, clinical trials or other regulatory authorities. Dr. Faguy will apply these  standards to hypothetical projects at NAU. Register for the pre-recorded workshop

Christine Kirby, Senior Research Coordinator, Center for Health Equity Research

(Recorded on July 19, 2021)
This workshop offers an introductory workshop for users with little to no ATLAS.ti experience who seek a foundational understanding of the software and its capabilities, interface, features and basic techniques to use the software for analyzing qualitative data. Register for the pre-recorded workshop

Niki Lajevardi-Khosh, Health Educator, Office of Environmental Health
Arizona Department of Health Services

(Recorded on Aug. 31, 2021)
The Arizona Department of Health Services (ADHS) is one of the Centers for Disease Control and Prevention (CDC) Environmental Public Health Tracking Network (EPHTN) grantees.
The ADHS EPHT program collaborates with CDC and local partners to collect and disseminate data related to environmental exposures and health outcomes to improve the data driven decision making process.
This presentation will provide an overview of the EPHT program including a demonstration of how to use the Data Explorer, Quick Reports Tool, applications previously developed for partners, and how the data has been used to address public health challenges. Register for the pre-recorded workshop

Allissa Dillman, Workforce Development and Community Engagement Lead
Office of Data Science Strategy, National Institutes of Health

(Recorded on Sept. 16, 2021)
This workshop describes the opportunities to engage in data science at the NIH and the resources available to you including support and participation in codeathons/hackathons, cloud computing via the STRIDES program, and data science and cloud computing training opportunities for you and your students. Register for the pre-recorded workshop

Toby Hocking, Assistant Professor, School of Informatics, Computing and Cyber Systems

(Recorded on Sept. 24, 2021)
This workshop, Dr. Hocking introduces: resources at NAU related to computational research projects; the research expertise of the SICCS faculty; the NAU super-computer Monsoon; how to run Python and R programs on it; and Cyverse, which provides a graphical web interface to several data analysis programs. Register for the pre-recorded workshop

Robert T. Trotter, II Regents’ Professor, Department of Anthropology

(Recorded on Sept. 27, 2021)
This workshop is an introduction to ethnographic research design. The primary topics are: ethnographic theory; ethnographic research question development; recruitment and sampling issues; methods mixtures; personnel skills; and analytical strategies (including software needs). Register for the pre-recorded workshop

Robert T. Trotter, II Regents’ Professor, Department of Anthropology

(Recorded on Oct. 11, 2021)
This workshop is an introduction to scientifically defensible rapid ethnographic assessment and evaluation design. It includes: the principles of rapid ethnographic assessment; rapid assessment problem definition; mixed methods design; analysis strategies; and dissemination/impact recommendations. Register for the pre-recorded workshop

Kelly Laurila, Research Scientist

(Recorded on Oct. 19, 2021)

An introduction to program evaluation, evaluator competencies, types of evaluation, elements of an evaluation plan, logic model design, developing SMART objectives, evaluation data sources, and implementation of an evaluation plan. Register for the pre-recorded workshop 

Robert T. Trotter III, Regents’ Professor, Department of Anthropology

(Recorded on February 4, 2020, in the ARD Large Pod)
Correctly designed focus group research is a powerful tool. This two-hour introductory workshop explores and explains the 7 critical elements of systematic design and analysis strategies for scientifically defensible focus group data collection.

• • • Theory Supporting Focus Group Design
    • Macro/Micro Elements of Focus Group Question Design
    • Focus Group Management Issues (Avoiding Focus Groups from Hell)
    • Data Collection Processes
    • Data Processing Consideration (Coding, etc.)
    • Data Analysis Strategies
    • Dissemination (and Ethical Considerations) Register for the pre-recorded workshop

Carly Camplain, Attorney, Senior Program Coordinator, CHER, NAU doctoral student in Interdisciplinary Health

(Recorded on February 18, 2020, in the ARD Large Pod)
Through this workshop, viewers develop an understanding of legal epidemiology and learn how to conduct policy surveillance and legal assessments, methodologies to carry out legal epidemiology, primary steps in conceptualizing a legal epidemiology project, and how to conduct an evaluation using legal data.
This workshop will use hands-on exercises to introduce the legal epidemiology process and will include a question and answer session about participants’ research. Register for the pre-recorded workshop

Sarah Lipsey, NAU Information Systems Training Specialist

(Recorded on March 5, 2020, in the ARD Large Pod)
Through this one-hour training, viewers learn to use Microsoft Teams––a “unified communication and collaboration platform for file storage, application integration, video meetings and workplace chat.”
Sarah Lipsey is a staff specialist for Information Systems Training in the NAU Department of Strategic Planning, Implementation and Education Services. Register for the pre-recorded workshop

Michael Patton, author and former president of the American Evaluation Association

(Recorded on March 31, 2020)
MQP, as he is known, is former president of the American Evaluation Association and recipient of its top awards. In addition to his well-known evaluation books, Utilization-Focused Evaluation, Qualitative Research & Evaluation Methods, Developmental Evaluation, and Principles-Focused Evaluation, he is an avid Grand Canyon hiker and author of Grand Canyon Celebration: A Father-Son Journey of Discovery. In this webinar, he uses the Grand Canyon to illustrate the premises and principles from his new book. Register for the pre-recorded workshop

Linda Silka, Senior Fellow, Senator George J. Mitchell Center for Sustainability Solutions, University of Maine

(Recorded on April 7, 2020)
This webinar describes exciting new approaches to use citizen science and community-based participatory research to solve problems together. Using examples from the presenter’s experience collaborating with refugee and immigrant communities, Latino communities, and rural communities, the webinar describes 10 puzzles and challenges and how they can be addressed through
citizen science and community-based participatory research. Register for the pre-recorded workshop

Indrakshi Roy, biostatistician, Center for Health Equity Research

(Recorded on April  21, 2020)
Power analysis is an essential (and sometimes a required) part of a research plan. It helps the researcher decide whether a study will have enough statistical power to detect a meaningful effect size. In this workshop, Indrakshi Roy approaches power analysis conceptually rather than mathematically. She discusses the concept of power, factors that impact power and the limitations of a power analysis.
She also provides demonstrations via GPower for t-test and chi-squared tests, ANOVA, Repeated-Measures ANOVA, Mixed-Design ANOVA, and Multiple Linear Regression, (m function) and getting help (stack overflow for R). Register for the pre-recorded workshop

Mary DeJong, librarian for the College of the Environment, Forestry, and Natural Sciences

(Recorded May 21, 2020)

Additional contributors:

• Pamela Buzzard, librarian for the College of Health and Human Services
• Amy Hughes, librarian for the College of Social and Behavioral Sciences
• Catherine Lockmiller, librarian for the Phoenix Bioscience Core
• Bridget Wipf, librarian for the College of Engineering

This workshop will introduce participants to systematic reviews. DeJong will teach what they are, how they are different from regular review articles, and how to begin planning one. Strategies for executing a thorough search and appropriately documenting a search strategy will also be covered. Most importantly, participants will learn why and when to partner with a librarian to ensure that your review methods are rigorous and meet publication requirements. Register for the pre-recorded workshop

Monica Lininger, Associate Professor, Department of Physical Therapy and Athletic Training

(Recorded on July 15, 2020)

This workshop  demonstrates access to and major features of SPSS, including simple graphic construction. By the end of the workshop participants should have the basic skills to understand how to input data for initial data cleaning, evaluate basic descriptive statistics, and create graphical representations of their data using this statistical platform. Register for the pre-recorded workshop

Meghan Warren, Professor, Department of Physical Therapy

(Recorded on July 29, 2020)
This workshop by Meghan Warren, professor in the Department of Physical Therapy and Athletic Training, will demonstrate access to and major features of SAS Software, including reading in datasets, basics of data management (e.g., recoding, merging, combining datasets), measures of central tendency and frequencies. SAS continues to be the standard data management and statistical analysis software for the biomedical sciences, including public health departments, and clinical and health sciences university departments.

Using R in the SAS interface can be discussed based on attendees’ preferences. Register for the pre-recorded workshop

Viacheslav “Slava” Fofanov, Associate Director for Research and Graduate Programs, School of Informatics, Computing, and Cyber Systems (SICCS)

(Recorded on Aug. 25, 2020)
This workshop explores the R language and the R-Studio environment for statistical computing at an intermediate level. With this program participants can generate publication-ready graphics and perform both the basic and the state-of-the-art statistical analyses. Register for the pre-recorded workshop

Meghan Warren, Professor, Department of Physical Therapy, and Monica Lininger, Associate Professor, Department of Physical Therapy and Athletic Training

(Recorded on September 10, 2020)
This workshop will help investigators develop clear research questions, specific aims, and hypotheses prior to implementing a study that allows for execution of the rigorous scientific process.  Register for the pre-recorded workshop

Meghan Warren, Professor, Department of Physical Therapy, and Monica Lininger, Associate Professor, Department of Physical Therapy and Athletic Training

(Recorded on September 24, 2020)
After solidifying the research questions, specific aims, and hypotheses, understanding the appropriate research design is the next step in the scientific process. (First watch “What is a Research Question, recorded September 10, 2020) Register for the pre-recorded workshop

David Folch, Assistant Professor, Department of Geography, Planning and Recreation

(Recorded on  December 3, 2020)
This workshop introduces core concepts in organizing, analyzing and presenting spatial data. Folch demonstrates how to get started using these tools in a variety of environments, including ArcGIS Pro (Windows desktop), QGIS (Mac, Linux, Windows desktop), QGIS (Mac, Linux, Windows desktop) and at the command line (Python and R).  Register for the pre-recorded workshop

Indrakshi Roy, Biostatistician for the Center for Health Equity Research

(Recorded on December 10, 2020)
This workshop is a continuation of the first workshop on power analysis on April 20, 2020. Indrakshi Roy approaches power analysis conceptually rather than mathematically. She discusses the concept of power, factors that impact power and the limitations of a power analysis. Register for the pre-recorded workshop

Monica Lininger, Associate Professor, Department of Physical Therapy and Athletic Training

(Recorded on Jan. 15, 2019 in the ARD Large Pod)
This workshop introduces principles associated with different types of factor analyses using SPSS. Lininger discusses appropriate model building, factor selection, and rotation methods. The workshop is interactive and participants practice a number of skills and had opportunities to develop collaborations with other participants and the facilitator. Register for the pre-recorded workshop

Lisa Hardy, Assistant Professor, Department of Anthropology

(Recorded on May 7, 2019 in the ARD Large Pod)

This workshop on Community-based Participatory Research (CBPR) offers an approach to research and practice that has shown successful results in health-related projects. This approach takes time, trial and error, and flexibility to implement well. There is no cookbook for CBPR.
In this workshop, Hardy covers the foundational principles that underlie CBPR and other community engaged strategies, examples of projects that use a CBPR framework, lessons learned from failed CBPR efforts, and scenarios for participants to think through how a CBPR approach differs from other research strategies. Register for the pre-recorded workshop

William Wilson, Senior Systems Administrator,  Academic and Research Technology Services

(Recorded on August 19, 2019, in the ARD Large Pod)
This workshop with William Wilson reviews ADAMS, RIC’s secure data analysis server, and also Research Electronic Data Capture (REDCap). REDCap is a web-based application developed by Vanderbilt University to capture data for clinical research and create databases and projects. Register for the pre-recorded workshop

Meghan Warren,  Professor, Department of Physical Therapy

(Recorded on September 23, 2019, in the ARD Large Pod)
This Southwest Health Equity Research workshop is based on the Missing Data course in February 2019 from Statistical Horizons by Paul Allison, PhD.  The Methods for Missing Data workshop covers why imputation may be necessary, both traditional and ‘newer’ methods and the strengths and limitations of each.
Dr. Warren focuses on ‘newer’ methods to better produce unbiased estimates. The workshop also illustrates multiple imputation using SAS (STATA and MPlus commands also available). Register for the pre-recorded workshop

Kyle Winfree, Associate Director for Undergraduate Programs
Assistant Professor, School of Informatics, Computing, and Cyber Systems

(Recorded on November 14, 2019, in the ARD Large Pod)
This workshop focuses on the application of statistical learning to proxy measure human behaviors, with special attention to the methods and the limitations of both sensors and statistical approaches. The workshop provides two examples: the first is an in-depth look at how commodity devices such as a Fitbit can and cannot be used in the research setting; the second is an in-depth look at how clinical devices can be used as commodity sensors that support nuanced human behavior detection. Register for the pre-recorded workshop

Jay Barber, Associate Professor, School of Informatics, Computing, and Cyber Systems

(Recorded on December 5, 2019, in the ARD Large Pod)
Dr. Barber discusses fundamental concepts and terminology (disease risk, odds ratio, relative risk) and how to estimate these quantities using statistical models (binomial regression and Poisson regression) with computation in R. He introduces Bayesian concepts and models with computations in R and NIMBLE. Dr. Barber also offers an introductory review of Bayesian spatial models for count data on aerial units (e.g., counties or health districts) with some model selection. Register for the pre-recorded workshop

Dr. Timothy Flood, chair of the BPHS

(Recorded on Aug. 14, 2018 in the ARD Large Pod)

In this presentation, Tim Flood, chair of the BPHS, discusses the implementation of the ADHS-NAU MOU on data sharing and the ADHS Human Subjects Review, and Rob Bailey, bureau chief of BPHS, gives a bureau overview. Dianna Contreras, manager of the Arizona Birth Defects Monitoring Program, presents an overview of 3 program components: surveillance, prevention of BDs, and assuring referral of babies to services. Georgia Yee, chief of the Office of Health Registries gives an office overview of the Arizona Cancer Registry surveillance and research. Flood also explores the concerns about data use. Register for the pre-recorded workshop 

Brian Eiler, Postdoctoral Fellow in the NAU Department of Psychological Sciences

(Recorded on Nov. 5, 2018 in the ARD Large Pod)
This workshop introduces network principles and analyses using the programming environment R. Also covered is experimental design, theoretical underpinnings, and visualization techniques. The workshop is interactive and participants practiced a number of skills and have opportunities to develop collaborations with other participants and the facilitator. Register for the pre-recorded workshop