REPLACEMENT and WITHOUT-. REPLACEMENT VARIANCE. ESTIMATES for a COMPLEX SURVEY. Frank J. Potter (MPR). Stephen Williams (MPR).
COMPARISON of WITHREPLACEMENT and WITHOUTREPLACEMENT VARIANCE ESTIMATES for a COMPLEX SURVEY Frank J. Potter (MPR) Stephen Williams (MPR) Nuria Diaz-Tena (MPR) James Reschovsky (HSC) Elizabeth Schaefer (HSC)
APHA November 2003
Overview z
Introduction
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Study Objectives and Methods
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Variance estimation considerations
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Comparisons for different assumptions
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Summary
Community Tracking Study (CTS) z
Data on changes in healthcare system – Primary focus on community Site-level
analysis
– National estimates as byproduct z
Data made available to researchers
CTS Sample Structure Multi-stage Multi-sample Design z
Supplemental sample – Stratified random national sample
Multi-stage Sample Design z
60 PSUs / Sites – 12 for intensity study – 48 other sites
improve national coverage and precision
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Probability proportional to size
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Stratified by MSA size and region
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Without-replacement selection
Survey Data Variance Estimation
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Two general approaches – Taylor series linearization – Replication methods Software available – SUDAAN (version 8) – Stata (version 8) – SAS (version 8) Surveyregs/Surveymeans – WesVar (version 4) Recommend SUDAAN for CTS
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WWW.FAS.HARVARD.EDU/~STATS/SURVEY-SOFT
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Why Without Replacement? z
Without-replacement selection of PSUs (sites)
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Probability proportion to size – Certainty PSUs
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Small PSU frame – Sizeable finite population correction factor (FPC)