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X-WR-CALNAME:Department of Statistics
X-ORIGINAL-URL:https://statistics.sciences.ncsu.edu
X-WR-CALDESC:Events for Department of Statistics
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20250901
DTEND;VALUE=DATE:20250902
DTSTAMP:20250203T172758Z
CREATED:20250203T172758Z
LAST-MODIFIED:20250203T172758Z
UID:27736-1756684800-1756771199@statistics.sciences.ncsu.edu
SUMMARY:University Closed - Holiday
DESCRIPTION:
URL:https://statistics.sciences.ncsu.edu/event/university-closed-holiday-39/
LOCATION:NC
CATEGORIES:Department,Faculty,Graduate,Undergraduate,University
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250912T110000
DTEND;TZID=America/New_York:20250912T120000
DTSTAMP:20250922T184413Z
CREATED:20250922T184413Z
LAST-MODIFIED:20250922T184413Z
UID:28638-1757674800-1757678400@statistics.sciences.ncsu.edu
SUMMARY:Statistics Seminar
DESCRIPTION:Location: 2203 SAS Hall\, NC State Main Campus \nSpeaker: Sarah Lotspeich\nAssistant Professor\nDepartment of Statistical Sciences\nWake Forest University \nTitle: Bridging statistics and bioinformatics to overcome data challenges in the learning health system\n \nAbstract:  Data from Electronic health records (EHR) present a huge opportunity to operationalize a standardized whole-person health score in the learning health system and identify at-risk patients on a large scale\, except they are prone to missingness and errors. Ignoring these data quality issues could lead to biased statistical results and incorrect clinical decisions. Validation of EHR data (e.g.\, through chart reviews) can provide better-quality data. Still\, realistically\, only a subset of patients’ data can be validated\, and most protocols do not recover missing data. Using a representative sample of 1000 patients from the EHR at an extensive learning health system (100 of whom could be validated)\, we bridge statistics and bioinformatics methods to design\, conduct\, and analyze statistically efficient and robust studies of the ALI and healthcare utilization. Employing semiparametric sieve maximum likelihood estimation\, we robustly incorporate all available patient information into statistical models. Using targeted design strategies\, we examine ways to select the most informative patients for validation. Incorporating clinical expertise\, we devise a novel validation protocol to promote EHR data quality and completeness. Targeted validation with an enriched protocol allowed us to ensure the quality and promote the completeness of the EHR. Findings from our validation study were incorporated into statistical models\, which indicated that worse whole-person health was associated with higher odds of engaging in the healthcare system\, adjusting for age.
URL:https://statistics.sciences.ncsu.edu/event/statistics-seminar-39/
LOCATION:NC
CATEGORIES:College of Sciences Calendar,Department,Seminars
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20250916
DTEND;VALUE=DATE:20250917
DTSTAMP:20250203T180221Z
CREATED:20250203T180221Z
LAST-MODIFIED:20250203T180221Z
UID:27772-1757980800-1758067199@statistics.sciences.ncsu.edu
SUMMARY:No Classes - Wellness Day
DESCRIPTION:
URL:https://statistics.sciences.ncsu.edu/event/no-classes-wellness-day-6/
LOCATION:NC
CATEGORIES:Department,Faculty,Graduate,Undergraduate,University
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250926T110000
DTEND;TZID=America/New_York:20250926T120000
DTSTAMP:20250924T164424Z
CREATED:20250918T141659Z
LAST-MODIFIED:20250924T164424Z
UID:28569-1758884400-1758888000@statistics.sciences.ncsu.edu
SUMMARY:Statistics Seminar
DESCRIPTION:Location: 2203 SAS Hall\, NC State Main Campus \nTitle: Navigating the Complexities of Statistical Software Development \nSpeaker: Ryan Lekivetz\nDirector of Advanced Analytics\nR&D – JMP Statistical Discovery \nAbstract: Statistical software development is a multidisciplinary endeavor that spans product design\, implementation\, testing\, documentation\, and customer support. In this talk\, I’ll share personal experiences from working at JMP Statistical Discovery LLC\, highlighting the unique challenges and rewards of collaborating with professionals across industries and roles. From translating statistical ideas into usable features to supporting diverse users\, this presentation offers a behind-the-scenes look at the development process. It also introduces lesser-known career paths for statisticians and provides guidance for students and early-career professionals interested in applying their skills in software development.
URL:https://statistics.sciences.ncsu.edu/event/statistics-seminar-36/
LOCATION:NC
CATEGORIES:College of Sciences Calendar,Department,Seminars
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