ELIZA

return kwic search for cell out of >500 occurrences
928965 occurrences (No.3 in the rank) during 5 years in the PubMed. [no cache] 500 found

256) It is well known that non-small cell lung cancer (NSCLC) is a heterogeneous group of diseases.

--- ABSTRACT ---

PMID:22246415 DOI:10.1177/0962280211434179

2015 Statistical methods in medical research

* Simpson's paradox - aggregating and partitioning populations in health disparities of lung cancer patients.

- It is well known that non-small cell lung cancer (NSCLC) is a heterogeneous group of diseases. Previous studies have demonstrated genetic variation among different ethnic groups in the epidermal growth factor receptor (EGFR) in NSCLC. Research by our group and others has recently shown a lower frequency of EGFR mutations in African Americans with NSCLC, as compared to their White counterparts. In this study, we use our original study data of EGFR pathway genetics in African American NSCLC as an example to illustrate that univariate analyses based on aggregation versus partition of data leads to contradictory results, in order to emphasize the importance of controlling statistical confounding. We further investigate analytic approaches in logistic regression for data with separation, as is the case in our example data set, and apply appropriate methods to identify predictors of EGFR mutation. Our simulation shows that with separated or nearly separated data, penalized maximum likelihood (PML) produces estimates with smallest bias and approximately maintains the nominal value with statistical power equal to or better than that from maximum likelihood and exact conditional likelihood methods. Application of the PML method in our example data set shows that race and EGFR-FISH are independently significant predictors of EGFR mutation.

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[frequency of next (right) word to cell]

(1)30 lines	(19)5 tumour	(37)3 migration	(55)2 lymphoma,
(2)16 death	(20)4 (RBC)	(38)3 response	(56)2 matrices
(3)15 proliferation	(21)4 growth	(39)3 scaffolds	(57)2 numbers
(4)15 viability	(22)4 markers	(40)3 source	(58)2 of
(5)13 lymphoma	(23)4 nuclear	(41)3 tumors	(59)2 printing
(6)12 and	(24)4 phenotype	(42)3 type	(60)2 responses
(7)9 carcinoma	(25)4 populations	(43)3 viability,	(61)2 seeding
(8)9 culture	(26)4 therapies	(44)2 activation	(62)2 survival
(9)9 sheets	(27)3 adhesion,	(45)2 aggregation	(63)2 system
(10)9 transplantation	(28)3 division	(46)2 attachment	(64)2 that
(11)9 types	(29)3 energy	(47)2 biology	(65)2 therapy,
(12)8 adhesion	(30)3 expansion	(48)2 coating,	(66)2 to
(13)8 cycle	(31)3 growth,	(49)2 death,	(67)2 transplantation,
(14)8 therapy	(32)3 immunity	(50)2 density	(68)2 tumours
(15)7 differentiation	(33)3 infiltration	(51)2 factors	(69)2 types,
(16)7 proliferation,	(34)3 line,	(52)2 genes	(70)2 volume
(17)6 surface	(35)3 lines,	(53)2 interactions	(71)2 wall
(18)5 line	(36)3 lung	(54)2 invasion	(72)2 was

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--- WordNet output for cell --- =>密室, 細胞, 電池, 独房・細胞, 監房, 組織, 独房 Overview of noun cell The noun cell has 7 senses (first 3 from tagged texts) 1. (71) cell -- (any small compartment; "the cells of a honeycomb") 2. (44) cell -- ((biology) the basic structural and functional unit of all organisms; they may exist as independent units of life (as in monads) or may form colonies or tissues as in higher plants and animals) 3. (1) cell, electric cell -- (a device that delivers an electric current as the result of a chemical reaction) 4. cell, cadre -- (a small unit serving as part of or as the nucleus of a larger political movement) 5. cellular telephone, cellular phone, cellphone, cell, mobile phone -- (a hand-held mobile radiotelephone for use in an area divided into small sections, each with its own short-range transmitter/receiver) 6. cell, cubicle -- (small room in which a monk or nun lives) 7. cell, jail cell, prison cell -- (a room where a prisoner is kept) --- WordNet end ---