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566982 occurrences (No.17 in the rank) during 5 years in the PubMed. [no cache] 500 found

432) 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.

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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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(1)251 of	(8)5 to	(15)3 that	(22)2 models
(2)52 on	(9)4 are	(16)3 with	(23)2 observed
(3)29 null	(10)4 such	(17)2 at	(24)2 regression
(4)22 in	(11)3 between	(18)2 due	(25)2 through
(5)16 and	(12)3 from	(19)2 has
(6)13 were	(13)3 induced	(20)2 include
(7)7 for	(14)3 may	(21)2 limited

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--- WordNet output for effects --- =>個人資産 Overview of noun effects The noun effects has 1 sense (no senses from tagged texts) 1. effects, personal effects -- (property of a personal character that is portable but not used in business; "she left some of her personal effects in the house"; "I watched over their effects until they returned") Overview of noun effect The noun effect has 6 senses (first 5 from tagged texts) 1. (101) consequence, effect, outcome, result, event, issue, upshot -- (a phenomenon that follows and is caused by some previous phenomenon; "the magnetic effect was greater when the rod was lengthwise"; "his decision had depressing consequences for business"; "he acted very wise after the event") 2. (11) impression, effect -- (an outward appearance; "he made a good impression"; "I wanted to create an impression of success"; "she retained that bold effect in her reproductions of the original painting") 3. (9) effect -- (an impression (especially one that is artificial or contrived); "he just did it for effect") 4. (2) effect, essence, burden, core, gist -- (the central meaning or theme of a speech or literary work) 5. (1) effect, force -- ((of a law) having legal validity; "the law is still in effect") 6. effect -- (a symptom caused by an illness or a drug; "the effects of sleep loss"; "the effect of the anesthetic") Overview of verb effect The verb effect has 2 senses (first 2 from tagged texts) 1. (17) effect, effectuate, set up -- (produce; "The scientists set up a shock wave") 2. (3) effect -- (act so as to bring into existence; "effect a change") --- WordNet end ---