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1. Leveraging Predictive Modelling from Multiple Sources of Big Data to Improve Sample Efficiency and Reduce Survey Nonresponse Error.

2. Making Sense of Sensor Data: How Local Environmental Conditions Add Value to Social Science Research.

3. Correction to: Leveraging Predictive Modelling from Multiple Sources of Big Data to Improve Sample Efficiency and Reduce Survey Nonresponse Error.

4. Sociodemographic Disparities in the Tobacco Retail Environment in Washington, DC: A Spatial Perspective.

5. Construction, Maintenance, and Enhancement of Address-Based Sampling Frames.

6. Overview of Three Field Methods for Improving Coverage of Address-Based Samples for In-Person Interviews.

7. ASSESSING CHANGES IN COVERAGE BIAS OF WEB SURVEYS IN THE UNITED STATES.

8. Sample Design, Sample Augmentation, and Estimation for Wave 2 of the NSHAP... National Social Life, Health, and Aging Project.

9. Sample Design, Sample Augmentation, and Estimation for Wave 2 of the NSHAP.

11. The Onset of Depression During the Great Recession: Foreclosure and Older Adult Mental Health.

12. Improving the Utility of the DSF Address-based Frame through Ancillary Information.

13. Creating Housing Unit Frames from Address Databases: Geocoding Precision and Net Coverage Rates.

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