ELIZA

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683276 occurrences (No.7 in the rank) during 5 years in the PubMed. [no cache] 500 found

119) We compare the vertical modelling approach with the method of Goetghebeur and Ryan for a breast cancer data set, highlighting the different aspects they contribute to the data analysis.

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PMID:22179822 DOI:10.1177/0962280211432067

2015 Statistical methods in medical research

* Vertical modelling: Analysis of competing risks data with missing causes of failure.

- We propose vertical modelling as a natural approach to the problem of analysis of competing risks data when failure types are missing for some individuals. Under a natural missing-at-random assumption for these missing failure types, we use the observed data likelihood to estimate its parameters and show that the all-cause hazard and the relative hazards appearing in vertical modelling are indeed key quantities of this likelihood. This fact has practical implications in that it suggests vertical modelling as a simple and attractive method of analysis in competing risks with missing causes of failure; all individuals are used in estimating the all-cause hazard and only those with non-missing cause of failure for relative hazards. The relative hazards also appear in a multiple imputation approach to the same problem proposed by Lu and Tsiatis and in the EM algorithm. We compare the vertical modelling approach with the method of Goetghebeur and Ryan for a breast cancer data set, highlighting the different aspects they contribute to the data analysis.

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(1)21 from	(18)3 amounts	(35)2 compared	(52)2 origins
(2)15 types	(19)3 aspects	(36)2 dietary	(53)2 output
(3)10 between	(20)3 cell	(37)2 diseases	(54)2 pHs
(4)9 doses	(21)3 degrees	(38)2 dosing	(55)2 patterns
(5)7 concentrations	(22)3 effects	(39)2 ethnic	(56)2 perspectives
(6)6 time	(23)3 for	(40)2 flow	(57)2 protocols
(7)5 in	(24)3 health	(41)2 frequencies	(58)2 range
(8)5 levels	(25)3 mechanisms	(42)2 gene	(59)2 regions
(9)4 null	(26)3 parts	(43)2 genes	(60)2 scenarios
(10)4 areas	(27)3 roles	(44)2 genetic	(61)2 sensory
(11)4 combinations	(28)3 species	(45)2 human	(62)2 surface
(12)4 components	(29)3 ways	(46)2 indicators	(63)2 taxa
(13)4 groups	(30)2 abutments	(47)2 internal-cone	(64)2 than
(14)4 methods	(31)2 and	(48)2 laser	(65)2 therapeutic
(15)4 stages	(32)2 approaches	(49)2 masking	(66)2 tissues
(16)4 tilt	(33)2 bleaching	(50)2 materials	(67)2 versions
(17)3 adhesive	(34)2 changes	(51)2 molecular	(68)2 views

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--- WordNet output for different --- =>いろいろな, 違った, 異なった, 様々の, 種々の, 異なる, 変わった Overview of adj different The adj different has 5 senses (first 4 from tagged texts) 1. (88) different -- (unlike in nature or quality or form or degree; "took different approaches to the problem"; "came to a different conclusion"; "different parts of the country"; "on different sides of the issue"; "this meeting was different from the earlier one") 2. (41) different -- (distinctly separate from the first; "that's another (or different) issue altogether") 3. (2) different -- (differing from all others; not ordinary; "advertising that strives continually to be different"; "this new music is certainly different but I don't really like it") 4. (1) unlike, dissimilar, different -- (marked by dissimilarity; "for twins they are very unlike"; "people are profoundly different") 5. different -- (distinct or separate; "each interviewed different members of the community") --- WordNet end ---