News and Events

  • Darcy Freeman, PhD, MPH, named Director of the Mary Ann Swetland Center for Environmental Health Find out more…

 

2019 Joint Biostatistics Symposium

Register here

Please let us know if you would like to present a poster.

The Annual Joint Biostatistics Symposium is an initiative of The Ohio State University, the Cleveland
Clinic, and Case Western Reserve University School of Medicine. The symposium provides an opportunity
for faculty, students and professionals in data analysis to stay current on challenges and opportunities, and to foster
future collaborations.

Key note: Kathryn Roeder, PhD
Professor of Statistics and Computational Biology and Vice Provost for Faculty, Carnegie Mellon University

Additional speakers from OSU, CCF and CWRU On topics ranging from optimal trial designs to novel statistical approaches to analyzing complex data sets.

Additionally, there will be poster sessions throughout the day.

When: Friday, April 19, 2019 / 10:45 am to 3:30 pm

Where: The Wolstein Research Building
Case Western Reserve University
2103 Cornell Road, Cleveland
Main Lobby

Lunch: Box lunches and snacks will be provided

Parking: $5 – public parking / Uptown Triangle Garage 11501 Mayfield Road, Cleveland
Additional options here.

Contact: Ming Li, PhD, Associate Professor

Population & Quantitative Health Sciences
Email: MXL675@case.edu

 

 


Past Annoucements

PQHS Educational Open House

Open House: Department of Population & Quantitative Health Sciences Learn more:  Graduate certificates, Master’s and PhD programs Biomedical and Health Informatics Public Health Epidemiology and Biostatistics Clinical Research Tuesday, February 19, 2019 / 3:30 – 6:30 pm Wolstein Research Building – 1223 Lounge Area Light refreshments served Find us:  pqhs.case.edu Email:  nlk@case.edu – Nickalaus Koziura […]

Kara Quaid, BS/MS Student, Receives award for work at NINDS

Congratulations to Kara Quaid! Kara, a BS/MS in Biostatistics student, received an Honorable Mention Summer Student Award for her work at the National Institute of Neurological Disorder and Stroke (NINDS) at the National Institute of Health as intern this past summer. Kara won the award as a result of the outstanding quality of her research […]

Calendar

  • Grant Submissions Link

    March 25, 2019 @ 8:00 am - 8:30 am

    Attention faculty:

    If you have any new grant submissions coming up, please fill out the form here:

    https://goo.gl/forms/yBWBqEnBRMfCpjYo1

    See more details

  • PQHS 501

    March 25, 2019 @ 8:45 am - 9:45 am
    WRB-4136

    Douglas Gunzler, PhD
    Center for Health Care Research & Policy
    MetroHealth Medical Center
    Case Western Reserve University

    Title:
    Latent Variable Mixture Modeling for Cross-Sectional Data in Health and Medicine

    Abstract:
    In this seminar, I will introduce latent variable mixture modeling techniques for cross-sectional data. In particular, latent class and latent profile analysis are useful multivariate techniques for describing subgroups in study samples based on selected variables. These techniques are probabilistic in nature, where classes are described based on empirical evidence and interpretability. In this seminar, I will discuss how to apply these techniques using complex clinical research data. I will discuss assumptions made in using latent profile analysis (LPA) on 200 clinical trial participants with a serious mental illness and diabetes. LPA in this sample explored differentiation between subgroups that were characterized on the basis of selected dimensions within a biopsychosocial framework. The study team identified two trivial subgroups (characterized by high and low scores on psychosocial measures) using a standard application of LPA. In making additional assumptions in line with clinical theory, we identified five meaningful subgroups. We also evaluated a secondary auxiliary model to describe relationships between latent classes and other clinical factors.

    Dr. Gunzler is an Assistant Professor of Medicine and Population and Quantitative Health Sciences at the Center for Health Care Research and Policy, Case Western Reserve University. His research has focused on structural equation modeling and longitudinal analysis, emphasizing mediation analysis and latent variable mixture modeling, psychometrics, multi-level modeling, and age-period-cohort analysis. He has applied these methods to many clinical trials and observational studies, especially multiple sclerosis (MS) and mental health studies. He was a KL2 research scholar within the NIH-funded Clinical and Translational Science Collaborative (CTSC) of Cleveland with a focus on looking at depression issues in MS patients. He is currently continuing his KL2 research in using electronic health records for looking at depression issues in hemodialysis patients as well as developing risk prediction tools for adults with type 2 diabetes and persons with MS. Dr. Gunzler received his PhD degree in Statistics from the University of Rochester in 2011.

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  • Grant Submissions Link

    April 1, 2019 @ 8:00 am - 8:30 am

    Attention faculty:

    If you have any new grant submissions coming up, please fill out the form here:

    https://goo.gl/forms/yBWBqEnBRMfCpjYo1

    See more details

  • PQHS 501

    April 1, 2019 @ 8:45 am - 9:45 am
    WRB-4136

    See more details

  • PQHS Faculty Meeting

    April 4, 2019 @ 12:00 pm - 1:00 pm
    WRB-2136

    See more details

  • Grant Submissions Link

    April 8, 2019 @ 8:00 am - 8:30 am

    Attention faculty:

    If you have any new grant submissions coming up, please fill out the form here:

    https://goo.gl/forms/yBWBqEnBRMfCpjYo1

    See more details

  • PQHS 501

    April 8, 2019 @ 8:45 am - 9:45 am
    WRB-4136

    See more details

  • Grant Submissions Link

    April 15, 2019 @ 8:00 am - 8:30 am

    Attention faculty:

    If you have any new grant submissions coming up, please fill out the form here:

    https://goo.gl/forms/yBWBqEnBRMfCpjYo1

    See more details

  • PQHS 501

    April 15, 2019 @ 8:45 am - 9:45 am
    WRB-4136

    See more details