On partial randomized response model using ranked set sampling
In this paper, we propose a partial randomized response technique to collect reliable sensitive data for estimation of population proportion in ranked set sampling (RSS) scheme using auxiliary information. The idea is to increase confidence and (or) co-operation of the respondents by providing them...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2022-01-01
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| Series: | PLoS ONE |
| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9707803/?tool=EBI |
| _version_ | 1811207461755944960 |
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| author | Azhar Mehmood Abbasi Muhammad Yousaf Shad Aneel Ahmed |
| author_facet | Azhar Mehmood Abbasi Muhammad Yousaf Shad Aneel Ahmed |
| author_sort | Azhar Mehmood Abbasi |
| collection | DOAJ |
| description | In this paper, we propose a partial randomized response technique to collect reliable sensitive data for estimation of population proportion in ranked set sampling (RSS) scheme using auxiliary information. The idea is to increase confidence and (or) co-operation of the respondents by providing them the option of both ‘direct’ and ‘randomized’ response for the inquired sensitive question. This option is quite logical because perception of sensitive (insensitive) inquiry can vary among respondents. The properties of the proposed method are discussed and compared with existing randomized response techniques. Cost analysis is also carried out to prove supremacy of the suggested method. Finally, an application to clinical trial on AIDS is included. |
| first_indexed | 2024-04-12T04:03:39Z |
| format | Article |
| id | doaj.art-12b52830ac4e4149a57b582f97ca4e1a |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-04-12T04:03:39Z |
| publishDate | 2022-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-12b52830ac4e4149a57b582f97ca4e1a2022-12-22T03:48:39ZengPublic Library of Science (PLoS)PLoS ONE1932-62032022-01-011711On partial randomized response model using ranked set samplingAzhar Mehmood AbbasiMuhammad Yousaf ShadAneel AhmedIn this paper, we propose a partial randomized response technique to collect reliable sensitive data for estimation of population proportion in ranked set sampling (RSS) scheme using auxiliary information. The idea is to increase confidence and (or) co-operation of the respondents by providing them the option of both ‘direct’ and ‘randomized’ response for the inquired sensitive question. This option is quite logical because perception of sensitive (insensitive) inquiry can vary among respondents. The properties of the proposed method are discussed and compared with existing randomized response techniques. Cost analysis is also carried out to prove supremacy of the suggested method. Finally, an application to clinical trial on AIDS is included.https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9707803/?tool=EBI |
| spellingShingle | Azhar Mehmood Abbasi Muhammad Yousaf Shad Aneel Ahmed On partial randomized response model using ranked set sampling PLoS ONE |
| title | On partial randomized response model using ranked set sampling |
| title_full | On partial randomized response model using ranked set sampling |
| title_fullStr | On partial randomized response model using ranked set sampling |
| title_full_unstemmed | On partial randomized response model using ranked set sampling |
| title_short | On partial randomized response model using ranked set sampling |
| title_sort | on partial randomized response model using ranked set sampling |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9707803/?tool=EBI |
| work_keys_str_mv | AT azharmehmoodabbasi onpartialrandomizedresponsemodelusingrankedsetsampling AT muhammadyousafshad onpartialrandomizedresponsemodelusingrankedsetsampling AT aneelahmed onpartialrandomizedresponsemodelusingrankedsetsampling |