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Probability estimation when some observations are grouped. Stat Med 2007 Apr 15;26(8):1745-61

Date

01/11/2007

Pubmed ID

17211825

DOI

10.1002/sim.2810

Scopus ID

2-s2.0-33947404848   2 Citations

Abstract

This paper considers the use of additional questions for decreasing survey non-response rates and an approach for estimating a probability based on the results obtained. In a survey, the respondents are asked to answer an original question and follow-up questions, where the answers for the follow-up questions are grouped answers for the original question. For example, respondents are asked to provide an exact number of incidents, but in cases of 'Do not know' or 'Refuse' responses, they are subsequently asked to pick an answer from a less specific categorical scale. The new estimator obtains smaller variance asymptotically and does not depend on a distribution family. This method is applied to income questions in a survey regarding injury prevention and behaviours. Another application is survey data on intimate partner violence, where some amendments were applied for incorporating post-stratification weights and for using non-random grouping. For additional illustration, an example of parameter estimation on artificially generated data is presented.

Author List

Tarima SS, Slavova SS, Fritsch TA, Hall LM

Author

Sergey S. Tarima PhD Associate Professor in the Institute for Health and Equity department at Medical College of Wisconsin




MESH terms used to index this publication - Major topics in bold

Data Collection
Data Interpretation, Statistical
Domestic Violence
Female
Humans
Income
Kentucky
Ohio
Safety
jenkins-FCD Prod-480 9a4deaf152b0b06dd18151814fff2e18f6c05280