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Can Post-Stratification Adjustments Correct Bias in Traditional RDD Estimates? Kathleen Thiede Call SHADAC AAPOR, Florida May 14, 2009 Funded by a grant from the Robert Wood Johnson Foundation
Acknowledgments ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
The Problem ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Research question ,[object Object],[object Object],[object Object]
Methods ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Overview of analysis ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Table 1. Selected estimates with original public use weights by phone status Compared to NHIS non-elderly total sample, the non-CPOH subsample (B-A) significantly underestimates all key health related outcomes Non-CPOH and CPOH subsamples are significantly different on all health related estimates (B-C), with CPOH reporting higher rates on all outcomes
Table 2. Contrast adjustments for selected health outcomes ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Table 2. Contrast adjustments for selected health outcomes – summary continued ,[object Object],[object Object],[object Object]
Table 3. Contrasting non-elderly NHIS sample with unadjusted and adjusted non-CPOH ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Table 3. Contrasting full NHIS and adjusted non-CPOH subsample – summary continued ,[object Object],[object Object],[object Object],[object Object]
Conclusions and implications ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Contact information ,[object Object],[object Object],[object Object]

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Can Post-Stratification Adjustments Correct Bias in Traditional RDD Estimates

  • 1. Can Post-Stratification Adjustments Correct Bias in Traditional RDD Estimates? Kathleen Thiede Call SHADAC AAPOR, Florida May 14, 2009 Funded by a grant from the Robert Wood Johnson Foundation
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  • 7. Table 1. Selected estimates with original public use weights by phone status Compared to NHIS non-elderly total sample, the non-CPOH subsample (B-A) significantly underestimates all key health related outcomes Non-CPOH and CPOH subsamples are significantly different on all health related estimates (B-C), with CPOH reporting higher rates on all outcomes
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