Lindsay Zepel

Biostatistician III at Duke Department of Population Health Sciences
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Contact Information
us****@****om
(386) 825-5501
Location
Durham, North Carolina, United States, US

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Experience

    • United States
    • Higher Education
    • 1 - 100 Employee
    • Biostatistician III
      • Jun 2018 - Present

      • Analyze and interpret results from very large claims datasets including CMS Medicare claims (> 55 million records), Medicare Managed Care claims and outpatient laboratory data (> 6 million records), and the United States Renal Data System (> 3 million records). • Provide expertise in study design, statistical analysis, and interpretation of findings for multiple projects in department research portfolio. • Collaborate with sponsors, physicians, faculty, and medical trainees… Show more • Analyze and interpret results from very large claims datasets including CMS Medicare claims (> 55 million records), Medicare Managed Care claims and outpatient laboratory data (> 6 million records), and the United States Renal Data System (> 3 million records). • Provide expertise in study design, statistical analysis, and interpretation of findings for multiple projects in department research portfolio. • Collaborate with sponsors, physicians, faculty, and medical trainees (e.g. fellows, medical students) on study design, statistical analysis plans, and presentation of results. • Independently prepare statistical analysis plans and perform moderate to complex statistical analyses including logistic regression, Poisson regression, Cox proportional hazards model, hierarchical modeling, estimating the cumulative incidence function for competing risks data, Kaplan-Meier estimates, cohort matching, and inverse probability-weighting. Show less • Analyze and interpret results from very large claims datasets including CMS Medicare claims (> 55 million records), Medicare Managed Care claims and outpatient laboratory data (> 6 million records), and the United States Renal Data System (> 3 million records). • Provide expertise in study design, statistical analysis, and interpretation of findings for multiple projects in department research portfolio. • Collaborate with sponsors, physicians, faculty, and medical trainees… Show more • Analyze and interpret results from very large claims datasets including CMS Medicare claims (> 55 million records), Medicare Managed Care claims and outpatient laboratory data (> 6 million records), and the United States Renal Data System (> 3 million records). • Provide expertise in study design, statistical analysis, and interpretation of findings for multiple projects in department research portfolio. • Collaborate with sponsors, physicians, faculty, and medical trainees (e.g. fellows, medical students) on study design, statistical analysis plans, and presentation of results. • Independently prepare statistical analysis plans and perform moderate to complex statistical analyses including logistic regression, Poisson regression, Cox proportional hazards model, hierarchical modeling, estimating the cumulative incidence function for competing risks data, Kaplan-Meier estimates, cohort matching, and inverse probability-weighting. Show less

    • United States
    • Biotechnology Research
    • 400 - 500 Employee
    • Statistical Programmer I
      • Aug 2017 - May 2018

      • Developed and modified existing SAS programs using Base SAS, SAS/STAT, SAS/GRAPH, SAS/MACRO, SQL. • Managed, cleaned, and combined disparate data sources to create SDTM and ADaM datasets. • Developed and validated tables and listings in support of clinical drug trials. • Developed and modified existing SAS programs using Base SAS, SAS/STAT, SAS/GRAPH, SAS/MACRO, SQL. • Managed, cleaned, and combined disparate data sources to create SDTM and ADaM datasets. • Developed and validated tables and listings in support of clinical drug trials.

    • United States
    • Research Services
    • 1 - 100 Employee
    • Research Analyst II/Biostatistician II
      • Dec 2014 - Jun 2017

      • Provided statistical analysis support including survival analysis, longitudinal analysis, and linear mixed models for the Dialysis Outcomes and Practice Patterns Study (DOPPS) - a multi-center international prospective cohort study of clinical practices and patient outcomes in 70,000+ hemodialysis patients. • Prepared statistical analysis displays and contributed to the writing of statistical analysis sections for inclusion in the United States Renal Data System Annual Data Report (USRDS)… Show more • Provided statistical analysis support including survival analysis, longitudinal analysis, and linear mixed models for the Dialysis Outcomes and Practice Patterns Study (DOPPS) - a multi-center international prospective cohort study of clinical practices and patient outcomes in 70,000+ hemodialysis patients. • Prepared statistical analysis displays and contributed to the writing of statistical analysis sections for inclusion in the United States Renal Data System Annual Data Report (USRDS) contracted by the National Institute of Diabetes and Digestive and Kidney Diseases, presentations at international and national scientific meetings, and scientific manuscripts. • Collaborated with international leaders in nephrology research, University of Michigan faculty, clinicians, and sponsors to coordinate research development. • Prepared statistical analysis plans, study design, and methodological specifications independently and in collaboration with the lead statistician. • Led analyses and assisted with writing for statistical sections of manuscripts published in peer-reviewed journals and abstracts presented at international and national scientific meetings.

    • Research Analyst I/Biostatistician I
      • May 2012 - Dec 2014

      • Provided statistical analysis support including survival analysis, longitudinal analysis, and linear mixed models for the Dialysis Outcomes and Practice Patterns Study (DOPPS) - a multi-center international prospective cohort study of clinical practices and patient outcomes in 70,000+ hemodialysis patients. • Collaborated with international leaders in nephrology research, University of Michigan faculty, clinicians, and sponsors to coordinate research development. • Prepared statistical… Show more • Provided statistical analysis support including survival analysis, longitudinal analysis, and linear mixed models for the Dialysis Outcomes and Practice Patterns Study (DOPPS) - a multi-center international prospective cohort study of clinical practices and patient outcomes in 70,000+ hemodialysis patients. • Collaborated with international leaders in nephrology research, University of Michigan faculty, clinicians, and sponsors to coordinate research development. • Prepared statistical analysis plans, study design, and methodological specifications independently and in collaboration with the lead statistician. • Led analyses and assisted with writing for statistical sections of manuscripts published in peer-reviewed journals and abstracts presented at international and national scientific meetings.

    • United States
    • Higher Education
    • 300 - 400 Employee
    • Graduate Student Research Assistant
      • 2012 - 2012

    • Graduate Student Instructor
      • 2010 - 2012

      Taught School of Public Health graduate students in the biostatistics courses: Introduction to Biostatistics, Regression Analysis, and Statistical Methods for Epidemiology. Responsibilities: • Held weekly office hours for >50 graduate students in course. • Developed weekly lab presentation materials. • Taught relevant SAS procedures in weekly lab sections to >50 graduate students. • Graded exams and homework assignments.

    • Statistical Intern
      • May 2011 - Aug 2011

      • Developed SAS programs to validate TLFs. • Coordinated with the research department in developing an analysis plan for company’s mixed cell product and solely provided statistical analysis support using SAS. • Developed SAS programs to validate TLFs. • Coordinated with the research department in developing an analysis plan for company’s mixed cell product and solely provided statistical analysis support using SAS.

Education

  • University of Michigan School of Public Health
    Master of Science (M.S.), Biostatistics
    2010 - 2012
  • Carnegie Mellon University
    Bachelor of Science (B.S.), Double Major: Statistics and Decision Science
    2006 - 2010

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