ELIZA

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505522 occurrences (No.25 in the rank) during 5 years in the PubMed. [no cache] 500 found

426) 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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[frequency of next (right) word to cancer]

(1)65 null	(14)6 therapy	(27)3 of	(40)2 epigenetics
(2)48 cells	(15)6 tissues	(28)3 patients,	(41)2 growth
(3)33 and	(16)5 cells,	(29)3 research	(42)2 initiation
(4)32 cell	(17)5 progression	(30)3 was	(43)2 prevention
(5)23 patients	(18)5 registries	(31)2 (GC)	(44)2 registry
(6)15 in	(19)4 at	(32)2 biology	(45)2 study
(7)14 is	(20)4 deaths	(33)2 but	(46)2 susceptibility
(8)12 risk	(21)4 has	(34)2 can	(47)2 than
(9)12 screening	(22)4 mortality	(35)2 care	(48)2 treated
(10)12 stem	(23)3 (CRC)	(36)2 development	(49)2 treatment
(11)9 survivors	(24)3 as	(37)2 diagnostic	(50)2 using
(12)7 with	(25)3 cases	(38)2 drug
(13)6 are	(26)3 metabolism	(39)2 drugs

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--- WordNet output for cancer --- =>【病名】がん, 悪性腫瘍(しゅよう), がん腫, 社会悪, 癌 Overview of noun cancer The noun cancer has 5 senses (first 1 from tagged texts) 1. (15) cancer, malignant neoplastic disease -- (any malignant growth or tumor caused by abnormal and uncontrolled cell division; it may spread to other parts of the body through the lymphatic system or the blood stream) 2. Cancer, Crab -- ((astrology) a person who is born while the sun is in Cancer) 3. Cancer -- (a small zodiacal constellation in the northern hemisphere; between Leo and Gemini) 4. Cancer, Cancer the Crab, Crab -- (the fourth sign of the zodiac; the sun is in this sign from about June 21 to July 22) 5. Cancer, genus Cancer -- (type genus of the family Cancridae) --- WordNet end ---