Annual Meeting Workshops | #PAA2018
Below you’ll find the list of workshops hosted by PAA prior to the PAA Annual Meeting. You can register for these program at PAA Online when you register for the PAA 2018. If you’ve already registered for PAA 2018 and want to add these workshops, just log in to PAA Online and add the sessions to your cart. You must be registered for PAA 2018 to attended these programs.
- Bayesian Population Projections: Theory & Projections | April 24-25, 2018
- Bayesian Small Area Estimation using Complex Survey Data | April 24-25, 2018
- Census and ACS in the Classroom: A Workshop for College Professors | April 25, 2018
- Demographic Research in the Digital Age | April 25, 2018
- Medical Expenditure Panel Survey Workshop | April 25, 2018
Bayesian Population Projections: Theory & Projections
Two-Day Short Course | April 24-25, 2018 8:30 AM – 5:00 PM
Sheraton Denver Downtown — Denver, CO
Already Registered for PAA? Click here to add this workshop.
- Adrian Raftery, Professor, Statistics & Sociology, University of Washington
- Hana Sevcikova, Senior Research Scientist, Center for Statistics and the Social Sciences, University of Washington
Population projections have traditionally been done deterministically using the cohort component method, yielding a single value for each projected future population quantity of interest. Recently, the United Nation Population Division adopted a probabilistic approach to project fertility, mortality and population for all countries. In this approach, the total fertility rate and female and male life expectancy at birth are projected using Bayesian hierarchical models estimated via Markov Chain Monte Carlo. They are then combined with a cohort component model which yields probabilistic projection for any quantity of interest. The methodology is implemented in a suite of R packages which has been used by the UN analysts producing the most recent revision of the World Population Prospects.
This course will teach the theory and practice behind the UN probabilistic projections. Ideas of the Bayesian hierarchical modeling for the two main components, fertility and mortality, will be explained. In hands-on exercises, students will become familiar with the functionality of the R packages. By the end of the course, they will have a basic understanding of the methods, be able to generate projections using their own data, and visualize probabilistic projections for many quantities of interest using various output formats, such as graphs, tables, maps, and pyramids.
Agenda and Prerequisites
IUSSP Two-Day Short Course: Bayesian Small Area Estimation using Complex Survey Data: Methods and Applications
April 24-25, 2018 | 9:00 AM – 5:00 PM
Sheraton Denver Downtown, Denver, CO
- Sam Clark, Department of Sociology, The Ohio State University
- Zehang Li, Department of Statistics, University of Washington
- Jon Wakefield, Departments of Statistics and Biostatistics, University of Washington
Small area estimation (SAE) is an important endeavor in global health, epidemiology, and increasingly, in demography. SAE is often based on data obtained from complex surveys, and one must acknowledge the survey design when statistical analysis is performed so that measures of uncertainty incorporate sampling variability and bias is avoided. Often data in particular areas are sparse (perhaps non-existent) and so spatial smoothing is advantageous to ‘borrow strength’ from neighboring areas.
We will begin with introductions to complex survey data, SAE, space-time modeling, and Bayesian statistics and then bring these topics together to show how reliable SAE estimation can be performed. The course will end with a complex application: space-time smoothing of under-5 infant mortality using demographic and health survey (DHS) data. This application is part of an on-going collaboration that the instructors have with UNICEF. In this context, the use of both full and summary birth history data will be described. Throughout, hands-on experience will be gained through the use of the instructors’ SUMMER R package that carries out space-time smoothing of area-level complex survey data, based on methodology that has been published1 by the instructors.
Prerequisites: None, although familiarity with R, Bayesian methods, and mortality measurement are helpful. Participants may want to bring their own laptop with R installed so that they can follow along and experiment with the data and code.
Registration: Please register online at IUSSP’s website. Registration is limited to 20 registrants. Due to the limited number of places available, registration status will be confirmed by 2 April 2018. Participants registered to attend the PAA Annual Meeting who have a role on the program will receive preference.
Travel Support: A small number of travel support awards will be provided to LDC participants; applicants should be IUSSP members in good standing who plan to participate in the PAA Annual meeting.
Census and ACS in the Classroom: A Workshop for College Professors
April 25, 2018 1:15 PM – 5:00 PM
Denver, CO | Transportation provided from Denver Sheraton Downtown
Already registered for PAA? Click here to add this workshop.
- William Frey, Social Science Data Analysis Network
- Mark Mather, Population Reference Bureau
- Andrew Beveridge, Queens College and Social Explorer
This workshop will focus on how professors can integrate the analysis of US Census and American Community Survey (ACS) data in relevant, user-friendly ways in such courses as Intro Sociology, Social Problems, Stratification, Race Relations, the Family, Sociology of Aging, Population, and more. Participants will learn about the Social Science Data Analysis Network (SSDAN) directed by Professor Frey at the University of Michigan. Related supplemental material on Census and population topics produced by Population Reference Bureau (PRB) will also be presented by Dr. Mather of PRB. Finally, Professor Andrew Beveridge will demonstrate and provide hands on training for the popular Census and ACS interactive data and mapping tool, Social Explorer.
The workshop will begin with an overview of the SSDAN project and data analysis materials. Brief tutorials on the easy-to-use Datacounts and CensusScope.org software tools will follow, with examples drawn from existing U.S. Census and ACS access tools. In a “hands-on” session, two person teams will “play the role of students” and conduct analyses of pre-tailored 1950-2010 Census, and 2015 ACS data using the online Datacounts software as well as the PRB and US Census Bureau Websites
Dr. Mather of the Population Reference Bureau will introduce participants to several of PRB’s most popular classroom products, publications, and website applications related to the Census, ACS and topics that can be taught using these data
Professor Beveridge will introduce participants to the features of Social Explorer though a demonstration and hands-on training. Social Explorer has received recognition as a Webby Award Honoree for Education and as an Outstanding Reference Source Award from the Reference and User Services Association.
The workshop will be limited to 25 participants. Transportation will depart from the hotel at 1:15 p.m. and return by 5:00 p.m. Detailed information will be provided to registrants.
Demographic Research in the Digital Age
April 25, 2018, 1:00 PM – 5:00 PM
Denver Sheraton Downtown — Denver, CO
Organizing committee: IUSSP Scientific Panel on Big Data and Population Processes – Emilio Zagheni, Francesco Billari, Guy Abel.
This workshop is intended to favor communication and exchange between researchers who study the implications of digital technologies for demographic behavior as well as the applications of new data from digital sources to understand population processes.
The workshop includes a keynote presentation by Dennis Feehan on “Estimating Internet Adoption around the World using a Sample of Facebook Users.” Dennis Feehan will also offer a mini-tutorial on “Getting started with network methods for estimation of demographic quantities.”
Participants working in Digital Demography are encouraged to contribute a communication for presentation before 15 February 2018 at Abstract Submission Form .
All participants who would like to attend the workshop session must register online Workshop Registration Form. There are a limited number of places, which will be allocated on a first come first served basis.
For more information on the workshop and submitting an abstract please go to: https://iussp.org/fr/demographic-research-digital-age-denver-april-2018 .
Medical Expenditure Panel Survey (MEPS) Workshop
April 25, 2018, 1:30 PM – 4:30 PM
Denver Sheraton Downtown — Denver, CO
Already Registered for PAA? Click here to add the MEPS Workshop.
Instructor: Anita Soni, PhD, MBA
Senior Survey Analyst and Statistician, Agency for Healthcare Research and Quality
MEPS currently has two major components: the Household Component and the Insurance Component. This workshop will focus on the Household Component. The Household Component of MEPS provides data from individual households and their members regarding their demographic characteristics, health conditions, health status, and use of medical services, charges and source of payments, access to care, health insurance coverage, income and employment.
This workshop will consist of lectures designed to provide a general overview of the Medical Expenditure Panel Survey (MEPS) https://meps.ahrq.gov/mepsweb/ along with lectures on medical conditions data and health care utilization, and expenditures. There will a hands-on session on working with MEPS online query tools, participants will benefit from having their laptops with them to access the MEPS website to follow along. There will also be time allotted for discussion of issues to keep in mind while working with MEPS data.
For any MEPS workshop related questions, please e-mail firstname.lastname@example.org.
1:30 pm -2:30 pm -MEPS-HC: Overview
2:30 pm -3:00 pm MEPS-HC: MEPS-HC: Utilization and Expenditures
3:00 pm – 3:30 pm Medical Conditions and Prescription Drug data files
3:30 pm – 4:00 pm MEPS Web Analytical Tools
4:00 pm -4:30 pm Considerations for working with MEPS data
Course prerequisites: Even though no previous knowledge of MEPS is expected, students might benefit from reviewing the survey background on the MEPS website: https://meps.ahrq.gov/mepsweb/about_meps/survey_back.jsp