Sampling the māori population using proxy screening, the electoral roll, and disproportionate sampling in the New Zealand health survey

Hard-to-Survey Populations

Volumn , Issue , 2014, Pages 468-484

  Clark, Robert Graham ^a   Templeton, Robert ^b  

^a UNIVERSITY OF WOLLONGONG   (Australia)

^b New Zealand Ministry of Health   (New Zealand)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84954187321     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1017/CBO9781139381635.027     Document Type: Chapter

References (10)

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2. Clark, R. G. (2013). Sample design using imperfect design data. Journal of Survey Statistics and Methodology, 1, 6-23.
3. Deming, W. E. (1977). An essay on screening, or on two-phase sampling, applied to surveys of a community. International Statistical Review, 45, 29-37.
4. Gabler, S., Hader, S., and Lahiri, P. (1999). A model based justification of Kish’s formula for design effects for weighting and clustering. Survey Methodology, 25, 105-06.
5. Hastie, T., Tibshirani, R., and Friedman, J. (2009). The Elements of Statistical Learning: Data Mining, Inference and Prediction. New York: Springer. Retrieved from www-stat. stanford.edu/~tib s/ElemStatLearn/.
6. Kalton, G., and Anderson, D. W. (1986). Sampling rare populations. Journal of the Royal Statistical Society: Series A (General), 149(1), 65-82.
7. Kish, L. (1992). Weighting for unequal pi. Journal of Official Statistics, 8(2), 183-200.
8. New Zealand Ministry of Health. (2011). The New Zealand Health Survey Sample Design Years 1-3 (2011-2013). Wellington, New Zealand: author. Retrieved from www.health.govt.nz/publication/new-zealand-health-survey-sample-design-years-1-3-2011-2013.
9. R Development Core Team. (2012). R: A Language and Environment for Statistical Computing [computer software manual]. Vienna, Austria: author. Retrieved from www.R-project.org/.
10. Wells, J. E. (1998). Oversampling through households or other clusters: comparisons of methods for weighting the oversampled elements. Australian and New Zealand Journal of Statistics, 40, 269-77.