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X-ORIGINAL-URL:https://dev-site.sph.umn.edu
X-WR-CALDESC:Events for School of Public Health
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BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20240711T120000
DTEND;TZID=America/Chicago:20240711T120000
DTSTAMP:20260523T001114
CREATED:20240611T174011Z
LAST-MODIFIED:20240702T143524Z
UID:687923-1720699200-1720699200@dev-site.sph.umn.edu
SUMMARY:Antiracist Supervision
DESCRIPTION:This workshop will introduce participants to the concept of supervision through the lens of antiracism. We will consider how to make we can make race-conscious and equitable decisions in recruitment\, hiring\, development\, compensation and more. Registration is required.
URL:https://dev-site.sph.umn.edu/event/antiracist-supervision/
LOCATION:Virtual
CATEGORIES:Alumni,Current Students,Faculty/Staff
ATTACH;FMTTYPE=image/jpeg:https://dev-site.sph.umn.edu/wp-content/uploads/2024/05/antiracist-summer-school@3x-100-scaled.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20240726T120000
DTEND;TZID=America/Chicago:20240726T130000
DTSTAMP:20260523T001114
CREATED:20240506T194308Z
LAST-MODIFIED:20240724T154053Z
UID:687664-1721995200-1721998800@dev-site.sph.umn.edu
SUMMARY:Finding and Securing Graduate Assistantships
DESCRIPTION:This session will focus on strategies for exploring\, finding\, and securing graduate assistantships within the School of Public Health as well as across the University.
URL:https://dev-site.sph.umn.edu/event/finding-and-securing-graduate-assistantships-4/
LOCATION:Virtual
CATEGORIES:Current Students
ATTACH;FMTTYPE=image/png:https://dev-site.sph.umn.edu/wp-content/uploads/2023/09/career-workshops.png
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BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20240726T150000
DTEND;TZID=America/Chicago:20240726T160000
DTSTAMP:20260523T001114
CREATED:20240712T193926Z
LAST-MODIFIED:20240712T194008Z
UID:688196-1722006000-1722009600@dev-site.sph.umn.edu
SUMMARY:BHDS Plan B Presentation with Katerine Giorgio
DESCRIPTION:[vc_row][vc_column][vc_column_text] \nProposed Solutions for Counting Person-Time in Instances Where No Active Comparator Is Present\n\n[/vc_column_text][vc_column_text] \nPresented by Katherine Giorgio\nMasters Candidate in Biostatistics\nPlan B Adviser: Jared Huling\n[/vc_column_text][vc_column_text]The target trial framework for designing observational studies is often used in pharmacoepidemiology\, however\, its application can be complex when there is no active comparator available. Our aim is to propose various computationally feasible solutions for such studies following this framework. The numerical experiment is based on a real-world cohort of 73\,070 individuals\, taken from a dataset of nation-wide insurance claims. Part 1 of the analysis is to find a surrogate index date for the untreated arm. Proposed solutions in part 1 include using a median surrogate index date\, conducting rejection sampling\, using prediction models\, and using a matching algorithm. Part 2 of the analysis is to assess bias by replicating previously published work using the results from part 1. The reference hazard ratio (HR) was 0.69 (95% CI 0.59 – 0.80). The naïve reference HR was 0.97. The HR after rejection sampling with and without trimming was 0.61 and 0.63\, respectively. The HR using the median with and without trimming was 1.10 and 1.15\, respectively. The HR using a prediction model and a matching algorithm was 0.96 and 1.07\, respectively. The rejection sampling approach for selecting a surrogate index date provided results\, which indicate low amounts bias. Other approaches indicate large amounts of bias\, performing no better than a naïve approach. Extreme care should be taken when making study design decisions for observational research questions which lack an active comparator group.[/vc_column_text][/vc_column][/vc_row]
URL:https://dev-site.sph.umn.edu/event/bhds-plan-b-presentation-with-katerine-giorgio/
LOCATION:University Office Plaza\, Room 240\, 2221 University Ave SE\, Minneapolis\, MN\, 55414\, United States
CATEGORIES:Current Students,Faculty/Staff
ATTACH;FMTTYPE=image/png:https://dev-site.sph.umn.edu/wp-content/uploads/2024/02/biostats-webpage-graphic-@3x.png
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BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20240729T150000
DTEND;TZID=America/Chicago:20240729T160000
DTSTAMP:20260523T001114
CREATED:20240719T144457Z
LAST-MODIFIED:20240719T144457Z
UID:688283-1722265200-1722268800@dev-site.sph.umn.edu
SUMMARY:BHDS Plan B Presentation with Julia Kancans
DESCRIPTION:Assessing Poisson-distributed Differentially Private Synthetic Data Using County-Level Data from Minnesota on the 1980 Leading Causes of Death \nPresented by Julia Kancans\nMasters Candidate in Biostatistics\nPlan B Adviser: Harrison Quick \nCDC WONDER is a database with useful public health information that can be stratified by a number of demographic factors. However\, the database is susceptible to targeted attacks and (post-1989) suppresses counts of 1-9. As an alternative to releasing data with suppression\, releasing synthetic data has been proposed as a potential method for preserving both individuals’ privacy and the utility of data. Specifically\, differentially private Poisson-distributed synthetic data with prior predictive truncation has been proposed as a mechanism for generating synthetic data with provable privacy protections (as measured by a privacy budget). This method has been evaluated on datasets consisting of county-level heart disease and cancer deaths in Pennsylvania and shown to preserve both racial and urban/rural disparities but has yet to be evaluated in acute disease mortality or causes of death with smaller age-standardized mortality rates. Here\, we explore the viability of using this approach to generate synthetic data for several leading causes of death using county-level data from Minnesota\, with a focus on the synthetic data’s ability to preserve urban/rural disparities in the cause-specific death rates. In addition to highlighting the performance of the approach\, we also provide commentary on how to select the level of the privacy budget.
URL:https://dev-site.sph.umn.edu/event/bhds-plan-b-presentation-with-julia-kancans/
LOCATION:hybrid: in person at University Office Plaza\, Room 240 or zoom\, 2221 University Ave SE\, Minneapolis\, 55415\, United States
CATEGORIES:Current Students,Faculty/Staff
ATTACH;FMTTYPE=image/png:https://dev-site.sph.umn.edu/wp-content/uploads/2024/02/biostats-webpage-graphic-@3x.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20240730T130000
DTEND;TZID=America/Chicago:20240730T140000
DTSTAMP:20260523T001114
CREATED:20240719T144848Z
LAST-MODIFIED:20240719T144848Z
UID:688285-1722344400-1722348000@dev-site.sph.umn.edu
SUMMARY:BHDS PhD Presentation with Justin Clark
DESCRIPTION:Novel Approaches to Generalizing Results from Randomized Trials \nPresented by Justin Clark\nPh.D. Candidate in Biostatistics\nPh.D. Advisers: James Hodges & Jared Huling \nRandomized controlled trials (RCTs) are often characterized as the highest standard of clinical evidence. Meta-analyses are sometimes ascribed an even higher standard\, as they combine the results of multiple studies and can produce a more precise effect estimate than that of any one trial. Various methods in causal inference have aimed to broaden the scope of clinical trial findings by transporting RCT results from trial participants to a well-defined target population. We propose extensions to these methods that address three practical problems common to analyses of clinical trial data: between-trial heterogeneity in meta-analysis\, participant non-adherence to study medication\, and mismatch between the covariates available in the trial and target population samples.
URL:https://dev-site.sph.umn.edu/event/bhds-phd-presentation-with-justin-clark/
LOCATION:University Office Plaza\, Room 240\, 2221 University Ave SE\, Minneapolis\, MN\, 55414\, United States
CATEGORIES:Current Students,Faculty/Staff
ATTACH;FMTTYPE=image/png:https://dev-site.sph.umn.edu/wp-content/uploads/2024/02/biostats-webpage-graphic-@3x.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20240730T130000
DTEND;TZID=America/Chicago:20240731T170000
DTSTAMP:20260523T001114
CREATED:20240604T154547Z
LAST-MODIFIED:20240620T181445Z
UID:687891-1722344400-1722445200@dev-site.sph.umn.edu
SUMMARY:Maternal Nutrition Intensive Course
DESCRIPTION:This continuing education program focuses on the improvement of maternal and infant health through the delivery of risk-appropriate high-quality nutrition services. \nThe purpose of this activity is to enable the learner to: \n\n describe ways that nutrition programs and services can improve maternal\, fetal and child health outcomes;\ndiscuss the effects of maternal and child eating behaviors and patterns on birth outcomes\, infant and child health and development; and\nidentify characteristics of effective programs\, services\, outreach\, research and evaluation needed to improve maternal\, infant and child health\, nutrition and food security.
URL:https://dev-site.sph.umn.edu/event/maternal-nutrition-intensive-course/
LOCATION:Health Sciences Education Center Room 3-110\, 526 Delaware Street Se\, Minneapolis\, MN\, 55455\, United States
CATEGORIES:Alumni,Current Students,Faculty/Staff
ATTACH;FMTTYPE=image/jpeg:https://dev-site.sph.umn.edu/wp-content/uploads/2022/06/maternal-health.jpg
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