Nursing and Interprofessional Research Lunch & Learn Series

A bimonthly seminar to inform and promote the development of nursing science and interprofessional research.

The Nursing and Interprofessional Research Lunch & Learn Series is a bimonthly seminar to inform and promote the development of nursing science and interprofessional research. Each hour-long session will explore a topic central to understanding and engaging in nursing science such as: research design, research methodology, presenting research findings, and current trends in the field. The seminar topics are multidisciplinary in nature, and attendance by anyone interested in the presentation topic is encouraged and welcomed.

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Spring 2024

Topic 

Speaker

Summary

 1/15/25

Causal Inference and Identifying Threats To Validity Mike Bancks, PhD, MPH
Associate Professor, Epidemiology and Prevention

This session will introduce approaches that can be used to identify and mitigate threats to validity in epidemiological and clinical research
 2/05/25 Study Designs: Methods In Pharmaco-Epidemiology Emilie Duchesneau, PhD
Assistant Professor, Epidemiology and Prevention
This session will present an introduction to and overview of fundamental methods, concepts, and approaches used in pharmaco-epidemiological studies.
 2/19/25 Interaction and Effect Modification: What Are They And How Are They Different
Mike Bancks, PhD, MPH
Associate Professor, Epidemiology and Prevention
This advanced-level session will introduce, describe, and distinguish causal interaction and effect measure modification.
 3/05/25 Introduction To REDCap Bas de Veer
REDCap Manager
This session will present an introduction to using REDCap for research purposes. Topics will cover use cases for surveys, form building, reports and exports, data quality tools, e-consent, and user management.
 3/19/25 TBA TBA  TBA
 4/02/25 Analysis Of A Discrete Outcome

Hannah Ainsworth, PhD
Assistant Professor, Biostatistics and Data Science

This introductory-level session will present the basic statistical concepts and approaches for analyzing outcome data with discrete or categorical form.
 4/16/25  Survival Analysis Mitchell Paukner, PhD
Assistant Professor, Department of Biostatistics and Data Science
This session will present an introduction to survival analysis including fundamental statistical concepts and approaches for analyzing outcome data in the form of time-to-occurrence of an event.
  5/07/25 REDCap Survey Dos And Don’t’s Bas de Veer
REDCap Manager
This session will provide high-level overview on advanced functions of the REDCap survey feature. Learners should have some basic knowledge on REDCap or prior introduction to surveys in REDCap. Topics covered will include: anonymous vs identifiable surveys, gift cards, survey invitations, chained surveys, mobile device optimization, confirmation emails, and e-consent.