Understanding likelihood ratios
The utility of a diagnostic test is expressed in various statistical terms such as sensitivity, specificity, positive predictive value, negative predictive value and so on. One such statistical term is likelihood ratio which is a better statistical test than those mentioned above, as this takes into...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
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Wolters Kluwer Medknow Publications
2012-01-01
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Series: | Current Medicine Research and Practice |
Subjects: | |
Online Access: | http://www.cmrpjournal.org/article.asp?issn=2352-0817;year=2012;volume=2;issue=4;spage=236;epage=238;aulast=Singh |
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author | Sourabh Singh Vivek Choudhury Anita Singh Satish Saluja |
author_facet | Sourabh Singh Vivek Choudhury Anita Singh Satish Saluja |
author_sort | Sourabh Singh |
collection | DOAJ |
description | The utility of a diagnostic test is expressed in various statistical terms such as sensitivity, specificity, positive predictive value, negative predictive value and so on. One such statistical term is likelihood ratio which is a better statistical test than those mentioned above, as this takes into account both diseased and non-diseased subjects. Moreover, likelihood ratio helps one to calculate the post-test probability, if the test in question is positive or negative. |
first_indexed | 2024-04-11T06:47:05Z |
format | Article |
id | doaj.art-74f062a7e33646d1b1cbb521415f90ec |
institution | Directory Open Access Journal |
issn | 2352-0817 2352-0825 |
language | English |
last_indexed | 2024-04-11T06:47:05Z |
publishDate | 2012-01-01 |
publisher | Wolters Kluwer Medknow Publications |
record_format | Article |
series | Current Medicine Research and Practice |
spelling | doaj.art-74f062a7e33646d1b1cbb521415f90ec2022-12-22T04:39:19ZengWolters Kluwer Medknow PublicationsCurrent Medicine Research and Practice2352-08172352-08252012-01-0124236238Understanding likelihood ratiosSourabh SinghVivek ChoudhuryAnita SinghSatish SalujaThe utility of a diagnostic test is expressed in various statistical terms such as sensitivity, specificity, positive predictive value, negative predictive value and so on. One such statistical term is likelihood ratio which is a better statistical test than those mentioned above, as this takes into account both diseased and non-diseased subjects. Moreover, likelihood ratio helps one to calculate the post-test probability, if the test in question is positive or negative.http://www.cmrpjournal.org/article.asp?issn=2352-0817;year=2012;volume=2;issue=4;spage=236;epage=238;aulast=Singhlikelihood ratiopretest probabilityfagan nomogram |
spellingShingle | Sourabh Singh Vivek Choudhury Anita Singh Satish Saluja Understanding likelihood ratios Current Medicine Research and Practice likelihood ratio pretest probability fagan nomogram |
title | Understanding likelihood ratios |
title_full | Understanding likelihood ratios |
title_fullStr | Understanding likelihood ratios |
title_full_unstemmed | Understanding likelihood ratios |
title_short | Understanding likelihood ratios |
title_sort | understanding likelihood ratios |
topic | likelihood ratio pretest probability fagan nomogram |
url | http://www.cmrpjournal.org/article.asp?issn=2352-0817;year=2012;volume=2;issue=4;spage=236;epage=238;aulast=Singh |
work_keys_str_mv | AT sourabhsingh understandinglikelihoodratios AT vivekchoudhury understandinglikelihoodratios AT anitasingh understandinglikelihoodratios AT satishsaluja understandinglikelihoodratios |