2020
DOI: 10.1186/s12874-020-00985-1
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Ordinal logistic regression model describing factors associated with extent of nodal involvement in oral cancer patients and its prospective validation

Abstract: Background: Oral cancer is the most common cancer among Indian men, and has strong tendency of metastatic spread to neck lymph node which strongly influences prognosis especially 5 year survival-rate and also guides the related managements more effectively. Therefore, a reliable and accurate means of preoperative evaluation of extent of nodal involvement becomes crucial. However, earlier researchers have preferred to address mainly its dichotomous form (involved/not-involved) instead of ordinal form while deal… Show more

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Cited by 19 publications
(13 citation statements)
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“…This method has been previously shown to be effective in studies of Braak staging as well as of other ordered phenotypes, such as oral cancers. [ 99 , 100 ] We obtained 626 individuals (475 AD cases and 151 cognitively normal controls) from the stage 1 ADSP case-control dataset and 1,399 individuals (533 AD patients and 866 controls) from AMP-AD case-control dataset with Braak staging information, which were used to fitted OLR models. In stage 1, We observed an OR of 1.16 (p = 0.039 using OLR; S1 Fig ) in the endocytic pathway, implicating a nominally significant association of rare-variant enrichment to later Braak stages.…”
Section: Resultsmentioning
confidence: 99%
“…This method has been previously shown to be effective in studies of Braak staging as well as of other ordered phenotypes, such as oral cancers. [ 99 , 100 ] We obtained 626 individuals (475 AD cases and 151 cognitively normal controls) from the stage 1 ADSP case-control dataset and 1,399 individuals (533 AD patients and 866 controls) from AMP-AD case-control dataset with Braak staging information, which were used to fitted OLR models. In stage 1, We observed an OR of 1.16 (p = 0.039 using OLR; S1 Fig ) in the endocytic pathway, implicating a nominally significant association of rare-variant enrichment to later Braak stages.…”
Section: Resultsmentioning
confidence: 99%
“…In OLR, several link functions, i.e. cauchit, complementary log -log, logit, negative log -log and probit were used in several research (Liao, 1994;Javali and Pandit, 2010;Agresti, 2013;Fernández-Navarro, 2017;Smith et al, 2019;Singh et al, 2020). Among these link functions, negative log-log ( − log ( − log ( y))) has been used in this study since lower categories are more probable to building up model.…”
Section: Methodsmentioning
confidence: 99%
“…In case of the current study, as the outcome of each patient, denoted as Y here, is classified into one of three categories: supportive treatment ( y 1 ), oxygen therapy ( y 2 ), and critical care or death ( y 3 ), the dependency of Y on X (a vector of input variables of x 1 , x 2 , … , x p ) can be expressed as: where Pr( Y ≥ y j ) is the cumulative probability of the outcome; α j is a respective intercept; and β i is a coefficient corresponding to the x i variable. Readers interested in more detailed explanation are referred to the paper by Singh et al 24 .…”
Section: Methodsmentioning
confidence: 99%