REDCap User Group Meeting Special Meeting Meet the Experts Monday, September 15, 2014 10:00 am –...
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Transcript of REDCap User Group Meeting Special Meeting Meet the Experts Monday, September 15, 2014 10:00 am –...
REDCap User Group Meeting
Special MeetingMeet the Experts
Monday, September 15, 201410:00 am – 12:00 noonPSU Hershey – T2500
University Park – Henderson 115
Panel
PSU - Hershey Allen Kunselman, PHS, Biostatistics Rosanne Pogash, PHS Data Management Terri Shkuda, Research Informatics Christie Stetter, PHS, Biostatistics
PSU - University Park Margaret Brech, Survey Research Center Mengzhao Gao, Statistics Larissa Witmer, Survey Research Center
Research Informatics
Research Informatics supports the following CTSI resources with application maintenance and additional support as follows: REDCap (Research Electronic Data Capture) - training,
access, consultation, REDCap User Group Meetings, office hours
i2b2 (Informatics for Integrating Biology and the Bedside) – training, access, consultation, office hours
Profiles (Research networking software) eagle-i (Biomedical research resource tool)
i2b2 – Informatics for Integrating Biology and the Bedside Cohort discovery tool which can be used prior
to IRB approval De-identified database containing discrete data
from HMC EMR, billing systems and other systems, with data from January 2011 to present
Feasibility tool to determine the existence of a set of patients meeting a specific criteria
Data contains: basic demographics, diagnosis, procedures, medications, lab tests, cancer registry, tissue availability
Research Informatics Contact
REDCap – [email protected] i2b2 – [email protected] Profiles – [email protected] eagle-i – [email protected]
CTSI website containing information about the above applications: https://ctsi.psu.edu/
PHS Data Management Services
Develop data management plans Design data collection forms Design administrative forms to facilitate data collection
and protocol adherence Provide design assistance to investigators/coordinators
creating REDCap projects Create REDCap projects – forms, surveys, and data
quality rules Create an implement testing plans for REDCap designs
and data quality rules Perform data entry Perform data monitoring activities
PHS Data Management Services
Up to 10 hours of services may be free using funds supported by the CTSI
Contact: Rosanne Pogash
Manager, PHS Data Management Unit [email protected] 717-531-7689
CTSI BERD Support at CoM
BERD: Biostatistics, Epidemiology, Research Design
http://ctsi.psu.edu/ctsi-programs/biostatisticsepidemiologyresearch-design/
BERD Support at CoM
Clarification of study objective With respect to clinical trials:
Superiority Non-inferiority Equivalence
Experimental design Ex.: completely randomized, randomized complete
block, Latin square, factorial, crossover, Bayesian, adaptive
Explicit definition of primary and secondary outcomes
BERD Support at CoM
Sample size and power
Identify potential sources of random error and bias
Randomization
Blinding methods
Interim analysis and stopping rules
Methods for handling missing data
BERD Support at CoM
Consideration for potential confounders and effect modifiers
Statistical data analysis
Interpretation
Reporting and graphics
Reproducible analysis
Data collection, management, monitoring, and archiving
BERD Support at CoM
Limited free BERD support
Request BERD support well in advance of any deadline
To request BERD support, complete the online consultation request form at: http://webapp.hmc.psu.edu/walkin2/walkin_form.cfm
Survey Research Center (UP)
What is the SRC? Part of the Social Science Research Institute Experienced team of project managers to oversee data collection and
project logistics
Provide survey and project management services Promote and contribute to the science of survey
research methodology Educate the Penn State community about the best
practices and emerging developments in survey research
Survey Research Center (UP)
Data collection services Multi-modal project management, including any of the following Mail and self-administered surveys (scanned/data entry) Phone surveys Daily Diary Studies Face-to-face interviews In-school surveys Web-based surveys EMA Data Collection (DREAM) Focus groups Collection of biological samples
Survey Research Center (UP)
Project Management services Help with study design decisions and instrument
development Develop project timelines, planning logistics Coordinate multiple modes of data collection Mailings (prenotifications, reminders, etc.) Data collection staff hiring and training Incentives Scheduling and working with site contacts Communication with respondents
Survey Research Center (UP)
DREAM - Dynamic Real-time Ecological Ambulatory Methodologies
Smartphone surveys Interval contingent, signal contingent, event contingent
Repeated collection of real-time data Assess ongoing behavior, experiences, and
environmental aspects of humans in their natural settings
Aims to understand processes as they naturally unfold in time and context
Phones and partnership with Verizon Wireless
Survey Research Center (UP)
DREAM - Dynamic Real-time Ecological Ambulatory Methodologies
Ecological Momentary Assessment (EMA) Experience Sampling Daily diaries Ambulatory physiological assessment Physical and movement monitoring Ambient environmental parameters Opportunities with intervention studies
Survey Research Center (UP)
Contact: Kurt Johnson, Ph.D. Director, Penn State Survey Research Center [email protected] 814-867-1290
CTSI BERD Support at UP
BERD: Biostatistics, Epidemiology, Research Design at UP
http://stat.psu.edu/consulting/ctsi-biostatistics-epidemiology-and-research-design
UP BERD Support
First four hours of consultation is provided free of charge. To request BERD support, complete the online consultation request form at: http://webapp.hmc.psu.edu/walkin2/walkin_form.cfm
Graduate students and junior investigators will have priority for the free service.
Researchers may receive help with projects and grant preparations
UP BERD Support
Sample size and power analysis
Expertise in study design and statistical methodology
data collection, data management and data analysis
Genomic Data Analysis