SAESS is a working research group in Johns Hopkins University Bloomberg School of Public Health, hosted jointly by Department of Biostatistics and the Department of Epidemiology via the Spatial Science for Public Health Center. We are an interdisciplinary group comprising of faculty, post doctoral fellows and graduate students from several departments. We have regular meetings featuring presentations and discussions related to small area estimation, spatial and spatio-temporal statistics.

Apr 19, 2018 Meeting

Presentations:

  • Amy Wesolowski
    “Combining different spatial data to understand the role of human connectivity on malaria control and elimination”

Apr 5, 2018 Meeting

Presentations:

  • Jason Ji
    “TSCAN: A clustering based approach for pseudo-time reconstruction and evaluation in single-cell RNA-seq analysis”

Dec 14, 2017 Meeting

Presentations:

  • Nick Henderson
    Robust Prediction of Mixed Effects via Empirically-Driven Compromise Weights

Nov 30, 2017 Meeting

Presentations:

  • Arkajyoti Saha
    Bootstrap for rapid inference on spatial covariances
  • Abhi Datta
    Coherent extrapolation of linear regression using kriging

Nov 09, 2017 Meeting

SAESS Open House — Featuring flash talks by Tom Louis, Chenguang Wang, Abhi Datta, Ben Davis and Josh Keller on different projects in Small Area Estimation and Spatial Statistics

Oct 26, 2017 Meeting
Presentation:

  • Alexander S. Popel and Chang Gong
    Applying spatial statistics to pathology slides for computational modeling of immunooncology.

Oct 12, 2017 Meeting
Presentation:

  • Martin Lindquist
    Spatial problems in FMRI

Sept 28, 2017 Meeting
Presentation:

  • Tom Louis
    Why bother with Bayes? 

Apr 27, 2017 Meeting
Presentation:

  • Abhi Datta
    Spatial disease mapping using directed acyclic graph autoregressive (DAGAR) models 

Apr 13, 2017 Meeting
Presentation:

  • Josh Keller
    Asthma Prevalence and Long-term Exposure to Particulate Matter in the Medicaid Population

Mar 30, 2017 Meeting
Presentation:

  • Mengyang Gu
    Gaussian stochastic processes on multiple functional data: cases for a large number of functions and a large number of inputs

Mar 09, 2017 Meeting
Presentation:

  • Le Bao (Penn State)

    Leaving No One Behind: Estimating HIV Epidemics at Sub-National and Sub-Population Level

Feb 23, 2017 Meeting
Presentation:

  • Tyler McCormick (U of Washington)
    Probabilistic Cause of Death Assessment for Verbal Autopsies

Jan 26, 2017 Meeting
Presentation:

  • Chenguang Wang and Tom Louis
    Bayesian Analysis of Nchelenge Malaria Data with an Interactive Web Demonstration

Dec 15, 2016 Meeting
Presentation:

  • StatFram Team (JiSoo Kim, Sam Rosin, Lois Park, Emily Wilson and Scott Zeger)

Dec 1, 2016 Meeting
Presentation:

  • Frank Curriero and Ben Davis

    On the Use of Non-Euclidean Distance in Geostatistical Applications

Nov 17, 2016 Meeting
Presentation:

  • Stefan Baral, Abhi Datta, Amrita Rao — 

    Approaches to population size estimation for key populations

Nov 03, 2016 Meeting
Presentation:

Oct 20, 2016 Meeting
Presentation:

  • Joshua Keller — Air pollution modeling

Oct 6, 2016 Meeting
Presentation:

  • Justin Lessler — The role of spatial analysis in infectious disease dynamics research

Sept 29, 2016 Meeting
Presentations:

  • Amy Tsui and Qingfeng Li — Subnational estimate of MCPR using PMA2020 in 10 developing countries 
  • David Dowdy — Spatial considerations in the epidemiology of tuberculosis: challenges and opportunities

Sept 22, 2016 Meeting
Presentations:

  • Frank Curriero — Overview of spatial statistical needs at the school and current spatial initiatives happening at the school
  • Abhi Datta — Bayesian models for high dimensional spatial data

Sept 15, 2016 Meeting
Presentations:

  • Bill Moss — Overview of spatial components of our International Center of Excellence in Malaria Research
  • Amrita Rao — Project on stimation of at-risk population sizes related to HIV incidence in Africa
  • Tom Louis — A few Small Area Estimation statistical issues

If you’re interested in joining our group and mailing list, please email abhidatta@jhu.