Type of Historical Data Collected Contextual Level (Place of Residence)

Slides:



Advertisements
Similar presentations
Geocoding …what is it good for? Alex Rodriguez
Advertisements

Advanced Student Population Projections Overview of Projection Factors.
Archived File The file below has been archived for historical reference purposes only. The content and links are no longer maintained and may be outdated.
Life Course Socioeconomic Status, Social Context and Cardiovascular Disease: The LCSES Study Kathryn Rose, PhD for The LCSES Study Team.
Advanced Student Population Projections Overview of Projection Factors.
IntroductionMethods (continued)Results (continued)Strengths and Limitations Background Pharmacologic treatments are efficacious in reducing post-myocardial.
What are Wage Records? Wage records are an administrative database used to calculate Unemployment Insurance benefits for employees who have been laid-off.
GIS Tutorial 1 Lecture 7 Geocoding. Outline  Geocoding overview  Linear (street) geocoding  Problems and solutions  Street map sources  Polygon geocoding.
WSS/DC-AAPOR Seminar November 10, 2009 Uses of and Experiences with Address-Based Sampling Jill Montaquila Westat.
Presented at the FedCASIC Workshop March 17, 2010 Uses of and Experiences with Address-Based Sampling Jill M. Montaquila Westat and the Joint Program in.
Locating the Geographic Center of DDI 3.0 IASSIST May 2006 Wendy Thomas University of Minnesota.
Incorporating neighborhood context into the study of health outcomes Jennifer F. Culhane, MPH, PhD Drexel University College of Medicine Department Of.
Population and Housing Estimates for Census Blocks: The San Diego Experience Jeff Tayman San Diego Association of Governments.
1 U.S. Census Bureau Data Availability for Geographic Areas March 25, 2008.
Chapter 11 Collecting primary data using questionnaires
Palestinian Central Bureau of Statistics (PCBS) Palestine Poverty Maps 2009 March
GIS Internet Map Servers for Health Applications Carol L. Hanchette, Ph.D. Rebecca D. Martin, Ph.D. Research Triangle Institute Research Triangle Park,
Lecture 5 Geocoding. What is geocoding? the process of transforming a description of a location—such as a pair of coordinates, an address, or a name of.
Homepage To learn about eLOMA click on the ‘Learn about eLOMA’ link under the Tools For Professionals.
Introduction to SchoolSite Enrollment Projections Review of Methodology and Factors Along with Hands-on Experience Using SchoolSite By David Kaitz.
Disclaimer This presentation is the property of MarketLinx Solutions™ and is intended for the exclusive use of NTREIS and may not be distributed, copied.
The American FactFinder Florida Libraries Association Annual Conference, 2012, Orlando, Florida Jan Swanbeck, Documents Librarian, Joe Aufmuth, GIS Librarian.
CPG 453 Course Outline Previous Text:  Microsoft Office XP – Illustrated Introductory (Enhanced Edition) by Thomson Course Technology (2003)  This.
Adding an Address To avoid adding duplicate addresses, Always use Find first. If you cannot find an address then add it. A warning should display if an.
Use of OCAN in Crisis Intervention Webinar October, 2014.
Multiple Choice Questions for discussion
If you are very familiar with SOAR, try these quick links: Principal’s SOAR checklist here here Term 1 tasks – new features in 2010 here here Term 1 tasks.
© The Johns Hopkins University and The Johns Hopkins Health System Corporation, 2011 Using the Online HSOPS & RC Apps for CSTS Armstrong Institute for.
Development of a Methodology to Evaluate Waste and Recycling Rates Debra L. Kantner Bryan Staley, PhD, PE.
Improving Security, Systems, and Statistics San Diego, CA June 4 th – 8 th, 2006 Developing a Community Health Information System NAPHSIS Conference –
Improving Security, Systems, and Statistics San Diego, CA June 4 th – 8 th, 2006 How Low Can We Go? Problems with ZIP Code Level Analyses Lance Miller,
Lab 7: Simulation 3 IE332 4/21/2010
12th Meeting of the Group of Experts on Business Registers
Using Historical Records to Reconstruct Early Life SES Exposures in Decedents: Preliminary Findings from a Pilot Study Kathryn Rose and J. Stephen Perhac.
Copyright © 2010, 2007, 2004 Pearson Education, Inc. Lecture Slides Elementary Statistics Eleventh Edition and the Triola Statistics Series by.
Slide 11.1 Saunders, Lewis and Thornhill, Research Methods for Business Students, 5 th Edition, © Mark Saunders, Philip Lewis and Adrian Thornhill 2009.
Improvements in Ohio’s Vital Statistics residence data with geo-coding software Presented at NAPHSIS/VSCP meeting Cincinnati, Ohio June 5, 2005 John O.
1 School Readiness and Early Grade Success Update Leah Hendey Tom Kingsley NNIP May 2009, Minneapolis-St. Paul.
2011 Census of Population and Housing ‘it’s not all about language’ Ben James Assistant Director, Census Management Unit Australian Bureau of Statistics.
Report-back Seminar “ Early Intervention ” in Family and Preschool Children Services Outcome Framework and Critical Success Factors / Principles.
American Community Survey “It Don’t Come Easy”, Ringo Starr Jane Traynham Maryland State Data Center March 15, 2011.
5-4-1 Unit 4: Sampling approaches After completing this unit you should be able to: Outline the purpose of sampling Understand key theoretical.
Harry Williams, Cartography1 INTRODUCTION TO GIS A Geographic Information System is a combination of software and hardware that can store, manipulate,
Midterm Activities: Due by Friday Process Journals must be in YOUR words Track 2 First finish Tutorial 2, then complete and print process journals for:
What is my neighbourhood like? Read this if you want to learn: 1)Why statistical data about your local area is important 2)What statistical information.
Chapter 2 What is Evidence?. Objectives Discuss the concept of “best available clinical evidence.” Describe the general content and procedural characteristics.
U.S. Census Data & TIGER/Line Files
Demand Forecast Deviations Working Group Presented to: Stakeholder Advisory Committee Presented by: Pat Doran January 24, 2007.
How to answer the American West exam paper Edexcel.
Analyzing & evaluating qualitative data Kim McDonough Northern Arizona University.
Slide 11.1 Saunders, Lewis and Thornhill, Research Methods for Business Students, 5 th Edition, © Mark Saunders, Philip Lewis and Adrian Thornhill 2009.
INTERN TRAINING Data Entry. NMMR SYSTEM  After the physical mine map is scanned and a data entry sheet is filled out by hand it will be entered into.
Overview of National Center for Health Statistics (NCHS) Data Systems Mary Burgess
GeoElections Interface to Voter Focus Tamara Holmes Voter Focus Team Lead 1.
OUR TARGETS IA INTRO TIPS Brief summary of the original study. Include the name of the study and the researchers. With their aim and their findings. Review.
Introduction Sample surveys involve chance error. Here we will study how to find the likely size of the chance error in a percentage, for simple random.
Child Care Subsidy Program Online Billing Provider Training Spring 2016.
Assessing Quality of Geocoded Data The Florida Registry Experience.
Kevin A Henry, Ph.D New Jersey Cancer Registry Cancer Epidemiology Services Frank Boscoe, Ph.D New York State Cancer Registry Estimating the accuracy of.
Regional DLI Training: Introduction to PCCF St. John’s Newfoundland Berenica Vejvoda May 5-6, 2016.
Computing Curriculum Day March 2016 Does this algorithm get Little Red Riding Hood to the Gingerbread Man’s house? Start Finish.
GIS Database. Why - Geography Gene x Environment Flights x Environment Environment: the surroundings of a physical system that may interact with the system.
Your Choices, Your Future A simple guide. All applications for 6 th form places, college courses and apprenticeships will be made through one website.
Geocoding Chapter 16 GISV431 &GEN405 Dr W Britz. Georeferencing, Transformations and Geocoding Georeferencing is the aligning of geographic data to a.
Geocoding Chapter 16 GISV431 &GEN405 Dr W Britz. Georeferencing, Transformations and Geocoding Georeferencing is the aligning of geographic data to a.
RMDSRMDS Retail Market Design Service 1 Data Standards Address and Customer RMDS.
State of GIS Activities Among NAACCR Member Registries
Geocoding and Georeferencing
Preliminaries: -- vector, raster, shapefiles, feature classes.
Shawn Stiver ARC Fall Semester, 2016 Geography 385 GIS For The Web
Presentation transcript:

Type of Historical Data Collected Contextual Level (Place of Residence)

Childhood Place of Residence  City / County / State of Residence during childhood  Data cleaning / editing  3% resided outside of the US  44% resided in the same county as in midlife  Linking with county-level census data  Chose decennial census (1930, 1940, 1950) that corresponded most closely to where participant lived at 10 years of age  Of the 12,314 participants who lived in the US as children, 99% were linked to county-level census data

Challenges of Working with Historical County Level Census Data (1930s-1950s)  Participants born in different birth cohorts are linked to different censuses  Indicators not uniformly available across census years  Exploration of techniques using prediction equations  For variables with monetary values not meaningful to use “raw” data across census years  Standardization using CPI  Ranking  Socioeconomic indicators available are limited, particularly in earlier years

Place of Residence at Ages 30, 40, and 50  Participants asked to provide their complete street address  Goal: link with census tract data from historical census (1960 – 1980) most closely corresponding to the given age  Only queried about address for a given age if not already in ARIC at this age

Choice of Geocoder  Commercial Vendors  Marketing focus - high match rates  Products/programs are proprietary Precise details of how spatial coordinates (latitudes and longitudes) are assigned are lacking  Information on accuracy is lacking  How closely do the coordinates / tract assignments correspond with true location?  Misclassification can lead to biased results

Choice of Geocoder (cont.)  Krieger et al (2002) Study  Compared geocodes obtained from 4 companies to “gold standard” obtained addresses For “good” addresses “accuracy” high for 3 of the 4 vendors (95-100%) For “problem” addresses “accuracy” ranged from 80 to 34%  Take home message – need to do your homework before choosing a vendor  Evaulation of repeatability and accuracy of geocoding vendor completed as part of our preliminary work [see Whitsel et al (in press) in publications section of this website]

Overview of Steps: Linking Address to Historical Census Tract Data  Apparently “good” addresses sent to geocoder  Obtained geocode for 1990 census tract boundaries  Latitude and longitudes obtained from exact address matches  Shape files generated with historical census tract boundaries  Latitudes and longitudes placed within tract boundaries for appropriate census year ( ).  Participant assigned appropriate tract number  Linked with tract level socio-environmental indicators

1970 Census Tracts Forsyth County, NC.

Geocoded Participant Addresses Placed into 1970 Forsyth County, NC Census Tracts

Oops! It Did Not Work  Major reasons for “failure”  Bad / insufficient address  Electronic files not available for 1960  Historical census did not define tract

Insufficient Address PROBLEM  Misspellings, nonstandard abbreviations  Partial street information provided  Address no longer exists  PO Box  Rural Route SOLUTION  Correction program, address standardization  Attempt to hand geocode using street name or x- streets  Identify location of address on historical map (MD)  None

Geocoding by Hand  Obtained detailed street maps (e.g., Forsyth NC)  Overlaid with census tract boundaries from historical census  Attempted to located address on map  Assigned a census tract if the address contained within the boundaries of one track  Limitations  Labor intensive Only feasible for areas containing a sizable number of ARIC participants (i.e., in or adjacent to ARIC study sites)  Does not work when: Street served as a boundary for two or more tracts Street was long / crossed multiple tracts

Hand Geocoding Problems Street crosses tract boundary Street is boundary for tract

Linking with 1960 Census Tracts  Electronic polygon and comparability files not available  Keyed information on correspondence between 1970 and 1960 tracts from print copies  Limitations  Does not work if 1970 tract is made up of more than one 1960 tract Attempted hand geocoding

Historic Census Did Not Define Tract  Tracts not defined for all of U.S. prior to 2000  In 1960 two major study areas (MS and MD) were missing tracts  Solutions:  Limited data (housing) obtained from census books at the level of city block areas for MS and MD Aggregated at level of the 1970 tract boundaries  Used tract-level census data from 1970 for untracked areas in 1960 Include a variable indicating # of years the age was from 1970 census

Percentage of Addresses Successfully Geocoded, by Census Year

Percentage of Addresses Successfully Geocoded by Method Used, by Census Year

Summary Feasibility of Retrospective Collection of Information on Early Life Social Context and Place of Residence

Early Life Place of Residence  Almost all LCSES participants recalled a childhood place of residence (county/state)  Limitations / Considerations  Census data prior to 1960 is not aggregated at a level below the county  Limited number of socio-economic indicators  Working with monetary variables across birth cohorts / census years requires careful consideration

Constructing the Historical Context: From Address to Census Tract Data  Limited recall of past addresses, particularly at earlier ages  Partial street address data can be geocoded, but labor intensive  Commerical geocoding relatively new  Historical addresses may be obsolete  Extra step required to place address into historical tract  Limitations of Historical Census  Non-tracked areas lack data  Limited SES indicators, particularly at earlier years