Class information for: |
Basic class information |
Class id | #P | Avg. number of references |
Database coverage of references |
---|---|---|---|
22265 | 388 | 24.5 | 43% |
Hierarchy of classes |
The table includes all classes above and classes immediately below the current class. |
Cluster id | Level | Cluster label | #P |
---|---|---|---|
9 | 4 | COMPUTER SCIENCE, THEORY & METHODS//COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE//COMPUTER SCIENCE, INFORMATION SYSTEMS | 1247339 |
34 | 3 | STATISTICS & PROBABILITY//STAT//COMMUNICATIONS IN STATISTICS-THEORY AND METHODS | 105938 |
319 | 2 | STATISTICS & PROBABILITY//STATISTICS IN MEDICINE//BIOMETRICS | 18302 |
22265 | 1 | CUB MODELS//ORDINAL REGRESSION//ORDINAL MODELS | 388 |
Terms with highest relevance score |
rank | Term | termType | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|---|
1 | CUB MODELS | authKW | 885352 | 4% | 75% | 15 |
2 | ORDINAL REGRESSION | authKW | 565012 | 9% | 21% | 34 |
3 | ORDINAL MODELS | authKW | 404734 | 2% | 86% | 6 |
4 | HOSMER LEMESHOW TEST | authKW | 350561 | 2% | 64% | 7 |
5 | ORDINAL DATA | authKW | 280054 | 8% | 11% | 31 |
6 | ORDINAL REGRESSION OR | authKW | 251834 | 1% | 80% | 4 |
7 | CUB MODEL | authKW | 236096 | 1% | 100% | 3 |
8 | RANDOM CUT POINT | authKW | 236096 | 1% | 100% | 3 |
9 | PROPORTIONAL ODDS MODEL | authKW | 235086 | 6% | 14% | 22 |
10 | ORDINAL CLASSIFICATION | authKW | 218593 | 3% | 28% | 10 |
Web of Science journal categories |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | Statistics & Probability | 19692 | 55% | 0% | 212 |
2 | Medical Informatics | 6884 | 16% | 0% | 64 |
3 | Mathematical & Computational Biology | 6148 | 23% | 0% | 90 |
4 | Computer Science, Artificial Intelligence | 808 | 12% | 0% | 48 |
5 | Public, Environmental & Occupational Health | 724 | 19% | 0% | 72 |
6 | Social Sciences, Mathematical Methods | 458 | 4% | 0% | 17 |
7 | Medicine, Research & Experimental | 435 | 13% | 0% | 52 |
8 | Computer Science, Interdisciplinary Applications | 217 | 7% | 0% | 27 |
9 | Health Care Sciences & Services | 134 | 4% | 0% | 17 |
10 | Psychology, Mathematical | 70 | 1% | 0% | 4 |
Address terms |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | COMP SCI NUMER ANAL | 91073 | 3% | 9% | 13 |
2 | BIOSTAT EPIDEMIOL HLTH EVALUAT SCI | 78699 | 0% | 100% | 1 |
3 | BUSINESS ADM ETEA | 78699 | 0% | 100% | 1 |
4 | CCSSJJ | 78699 | 0% | 100% | 1 |
5 | CITIUS INVEST TECNOLOXIAS INFORMAC | 78699 | 0% | 100% | 1 |
6 | COMMUNITY BASED SOC HUMAN DEV HLTH | 78699 | 0% | 100% | 1 |
7 | CTED | 78699 | 0% | 100% | 1 |
8 | DATA MIN USER MODELING GRP | 78699 | 0% | 100% | 1 |
9 | DIPARTIMENTO AGR AMBIENTE ALIMENTAZ | 78699 | 0% | 100% | 1 |
10 | DIPARTIMENTO TEOMESUS | 78699 | 0% | 100% | 1 |
Journals |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | STATISTICS IN MEDICINE | 27464 | 13% | 1% | 50 |
2 | STATA JOURNAL | 11030 | 2% | 2% | 8 |
3 | ADVANCES IN DATA ANALYSIS AND CLASSIFICATION | 6654 | 1% | 2% | 4 |
4 | BIOMETRICAL JOURNAL | 6492 | 4% | 1% | 14 |
5 | CONTEMPORARY DRUG PROBLEMS | 6052 | 0% | 8% | 1 |
6 | CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE | 5144 | 2% | 1% | 9 |
7 | JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS | 3186 | 2% | 1% | 7 |
8 | COMPUTATIONAL STATISTICS & DATA ANALYSIS | 2672 | 3% | 0% | 13 |
9 | IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS | 2653 | 2% | 1% | 6 |
10 | STATISTICAL METHODS AND APPLICATIONS | 2579 | 1% | 1% | 3 |
Author Key Words |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
LCSH search | Wikipedia search |
---|---|---|---|---|---|---|---|
1 | CUB MODELS | 885352 | 4% | 75% | 15 | Search CUB+MODELS | Search CUB+MODELS |
2 | ORDINAL REGRESSION | 565012 | 9% | 21% | 34 | Search ORDINAL+REGRESSION | Search ORDINAL+REGRESSION |
3 | ORDINAL MODELS | 404734 | 2% | 86% | 6 | Search ORDINAL+MODELS | Search ORDINAL+MODELS |
4 | HOSMER LEMESHOW TEST | 350561 | 2% | 64% | 7 | Search HOSMER+LEMESHOW+TEST | Search HOSMER+LEMESHOW+TEST |
5 | ORDINAL DATA | 280054 | 8% | 11% | 31 | Search ORDINAL+DATA | Search ORDINAL+DATA |
6 | ORDINAL REGRESSION OR | 251834 | 1% | 80% | 4 | Search ORDINAL+REGRESSION+OR | Search ORDINAL+REGRESSION+OR |
7 | CUB MODEL | 236096 | 1% | 100% | 3 | Search CUB+MODEL | Search CUB+MODEL |
8 | RANDOM CUT POINT | 236096 | 1% | 100% | 3 | Search RANDOM+CUT+POINT | Search RANDOM+CUT+POINT |
9 | PROPORTIONAL ODDS MODEL | 235086 | 6% | 14% | 22 | Search PROPORTIONAL+ODDS+MODEL | Search PROPORTIONAL+ODDS+MODEL |
10 | ORDINAL CLASSIFICATION | 218593 | 3% | 28% | 10 | Search ORDINAL+CLASSIFICATION | Search ORDINAL+CLASSIFICATION |
Core articles |
The table includes core articles in the class. The following variables is taken into account for the relevance score of an article in a cluster c: (1) Number of references referring to publications in the class. (2) Share of total number of active references referring to publications in the class. (3) Age of the article. New articles get higher score than old articles. (4) Citation rate, normalized to year. |
Rank | Reference | # ref. in cl. |
Shr. of ref. in cl. |
Citations |
---|---|---|---|---|
1 | GUTIERREZ, PA , PEREZ-ORTIZ, M , SANCHEZ-MONEDERO, J , FERNANDEZ-NAVARRO, F , HERVAS-MARTINEZ, C , (2016) ORDINAL REGRESSION METHODS: SURVEY AND EXPERIMENTAL STUDY.IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING. VOL. 28. ISSUE 1. P. 127 -146 | 35 | 58% | 3 |
2 | VAITHEESWARAN, K , SUBBIAH, M , RAMAKRISHNAN, R , KANNAN, T , (2016) A COMPARISON OF ORDINAL LOGISTIC REGRESSION MODELS USING CLASSICAL AND BAYESIAN APPROACHES IN AN ANALYSIS OF FACTORS ASSOCIATED WITH DIABETIC RETINOPATHY.JOURNAL OF APPLIED STATISTICS. VOL. 43. ISSUE 12. P. 2254 -2260 | 19 | 100% | 0 |
3 | BENDER, R , BENNER, A , (2000) CALCULATING ORDINAL REGRESSION MODELS IN SAS AND S-PLUS.BIOMETRICAL JOURNAL. VOL. 42. ISSUE 6. P. 677-699 | 21 | 88% | 49 |
4 | FERNANDEZ, D , LIU, I , (2016) A GOODNESS-OF-FIT TEST FOR THE ORDERED STEREOTYPE MODEL.STATISTICS IN MEDICINE. VOL. 35. ISSUE 25. P. 4660 -4696 | 15 | 83% | 0 |
5 | DAS, S , RAHMAN, RM , (2011) APPLICATION OF ORDINAL LOGISTIC REGRESSION ANALYSIS IN DETERMINING RISK FACTORS OF CHILD MALNUTRITION IN BANGLADESH.NUTRITION JOURNAL. VOL. 10. ISSUE . P. - | 18 | 75% | 7 |
6 | IANNARIO, M , PICCOLO, D , (2016) A GENERALIZED FRAMEWORK FOR MODELLING ORDINAL DATA.STATISTICAL METHODS AND APPLICATIONS. VOL. 25. ISSUE 2. P. 163 -189 | 11 | 79% | 2 |
7 | DOLGUN, A , SARACBASI, O , (2014) ASSESSING PROPORTIONALITY ASSUMPTION IN THE ADJACENT CATEGORY LOGISTIC REGRESSION MODEL.STATISTICS AND ITS INTERFACE. VOL. 7. ISSUE 2. P. 275-295 | 13 | 76% | 0 |
8 | SANCHEZ-MONEDERO, J , GUTIERREZ, PA , TINO, P , HERVAS-MARTINEZ, C , (2013) EXPLOITATION OF PAIRWISE CLASS DISTANCES FOR ORDINAL CLASSIFICATION.NEURAL COMPUTATION. VOL. 25. ISSUE 9. P. 2450 -2485 | 14 | 67% | 6 |
9 | GUTIERREZ, PA , TINO, P , HERVAS-MARTINEZ, C , (2014) ORDINAL REGRESSION NEURAL NETWORKS BASED ON CONCENTRIC HYPERSPHERES.NEURAL NETWORKS. VOL. 59. ISSUE . P. 51 -60 | 14 | 67% | 1 |
10 | ABREU, MNS , SIQUEIRA, AL , CAIAFFA, WT , (2009) ORDINAL LOGISTIC REGRESSION IN EPIDEMIOLOGICAL STUDIES.REVISTA DE SAUDE PUBLICA. VOL. 43. ISSUE 1. P. 183 -194 | 10 | 100% | 16 |
Classes with closest relation at Level 1 |