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

return kwic search for human out of >500 occurrences
482327 occurrences (No.32 in the rank) during 5 years in the PubMed. [no cache] 500 found
132) Studies of human immunodeficiency virus dynamics in acquired immuno deficiency syndrome (AIDS) research are very important in evaluating the effectiveness of antiretroviral (ARV) therapies.
--- ABSTRACT ---
PMID:22045781 DOI:10.1177/0962280211426184
2015 Statistical methods in medical research
* Piecewise mixed-effects models with skew distributions for evaluating viral load changes: A Bayesian approach.
- Studies of human immunodeficiency virus dynamics in acquired immuno deficiency syndrome (AIDS) research are very important in evaluating the effectiveness of antiretroviral (ARV) therapies. The potency of ARV agents in AIDS clinical trials can be assessed on the basis of a viral response such as viral decay rate or viral load change in plasma. Following ARV treatment, the profile of each subject's viral load tends to follow a 'broken stick'-like dynamic trajectory, indicating multiple phases of decline and increase in viral loads. Such multiple-phases (change-points) can be described by a random change-point model with random subject-specific parameters. One usually assumes a normal distribution for model error. However, this assumption may be unrealistic, obscuring important features of within- and among-subject variations. In this article, we propose piecewise linear mixed-effects models with skew-elliptical distributions to describe the time trend of a response variable under a Bayesian framework. This methodology can be widely applied to real problems for longitudinal studies. A real data analysis, using viral load data from an AIDS study, is carried out to illustrate the proposed method by comparing various candidate models. Biologically important findings are reported, and these findings also suggest that it is very important to assume a model with skew distribution in order to achieve reliable results, in particular, when the data exhibit skewness.
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[frequency of next (right) word to human]
(1)19 and (23)3 blood (45)2 adipose-derived (67)2 insulin
(2)15 health (24)3 bronchial (46)2 amniotic (68)2 interaction
(3)11 brain (25)3 dental (47)2 articular (69)2 islet
(4)10 breast (26)3 dermal (48)2 body, (70)2 leukocyte
(5)8 body (27)3 embryonic (49)2 brain, (71)2 liver
(6)8 mesenchymal (28)3 head (50)2 but (72)2 microbiota
(7)8 papillomavirus (29)3 lung (51)2 cartilage (73)2 mycetoma
(8)7 bone (30)3 nasal (52)2 cerebral (74)2 neuroblastoma
(9)7 subjects (31)3 renal (53)2 chorionic (75)2 oral
(10)7 umbilical (32)3 serum (54)2 consumption, (76)2 osteosarcoma
(11)6 cancer (33)3 skin (55)2 cortical (77)2 papilloma
(12)6 hepatocytes (34)3 spinal (56)2 disease (78)2 participants
(13)4 *null* (35)3 teeth (57)2 endometrial (79)2 periodontal
(14)4 MSCs (36)3 tissues (58)2 endothelial (80)2 platelet
(15)4 cancers (37)2 Alu (59)2 eye (81)2 primary
(16)4 cancers, (38)2 CD34(+) (60)2 face (82)2 resources
(17)4 immunodeficiency (39)2 DMN (61)2 fibroblasts (83)2 respiratory
(18)4 model (40)2 PIF1 (62)2 glioma (84)2 rights
(19)4 oncology (41)2 TP (63)2 health, (85)2 studies
(20)4 plasma (42)2 abdomen (64)2 hepatocellular (86)2 third
(21)3 Province (43)2 activity (65)2 induced (87)2 tooth
(22)3 acellular (44)2 adipose (66)2 infections,

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--- WordNet output for human --- =>人間らしい, 人間の, 人, 人間 Overview of noun human The noun human has 1 sense (first 1 from tagged texts) 1. (5) homo, man, human being, human -- (any living or extinct member of the family Hominidae characterized by superior intelligence, articulate speech, and erect carriage) Overview of adj human The adj human has 3 senses (first 3 from tagged texts) 1. (46) human -- (characteristic of humanity; "human nature") 2. (19) human -- (relating to a person; "the experiment was conducted on 6 monkeys and 2 human subjects") 3. (15) human -- (having human form or attributes as opposed to those of animals or divine beings; "human beings"; "the human body"; "human kindness"; "human frailty") --- WordNet end ---