ELIZA cgi-bash version rev. 1.90
- Medical English LInking keywords finder for the PubMed Zipped Archive (ELIZA) -

return kwic search for different out of >500 occurrences
683276 occurrences (No.7 in the rank) during 5 years in the PubMed. [no cache] 500 found
76) Moreover, superiority of the model in terms of accuracy of slope estimates was consistently shown across the different levels of censoring in comparison to the naïve and bootstrap approaches.
--- ABSTRACT ---
PMID:22143404 DOI:10.1177/0962280211430681
2015 Statistical methods in medical research
* Slope estimation for informatively right censored longitudinal data modelling the number of observations using geometric and Poisson distributions: application to renal transplant cohort.
- Analysis of longitudinal data is often complicated by the presence of informative right censoring. This type of censoring should be accounted for in the analysis so that valid slope estimates are attained. In this study, we developed a new likelihood-based approach wherein the likelihood function is integrated over random effects to obtain a marginal likelihood function. Maximum likelihood estimates for the population slope were acquired by direct maximisation of the marginal likelihood function and empirical Bayes estimates for the individual slopes were generated using Gaussian quadrature. The performance of the model was assessed using the geometric and Poisson distributions to model the number of observations for every individual subject. Our model generated valid estimates for the slopes under both distributions with minimal bias and mean squared errors. Our sensitivity analysis confirmed the robustness of the model to assumptions pertaining to the underlying distribution and demonstrated its insensitivity to normality assumptions. Moreover, superiority of the model in terms of accuracy of slope estimates was consistently shown across the different levels of censoring in comparison to the naïve and bootstrap approaches. This model was illustrated using the cohort of renal transplant patients and estimates of the slopes that are adjusted for informative right censoring were acquired.
--- ABSTRACT END ---
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[frequency of next (right) word to different]
(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 ---