ELIZA

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321496 occurrences (No.66 in the rank) during 5 years in the PubMed. [cache]

133) Our model generated valid estimates for the slopes under both distributions with minimal bias and mean squared errors.

--- 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.

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(1)95 the	(18)4 these	(35)2 axial	(52)2 of
(2)13 different	(19)3 high	(36)2 censoring	(53)2 optimal
(3)12 a	(20)3 investigation	(37)2 clinical	(54)2 physiological
(4)9 general	(21)3 light	(38)2 consideration	(55)2 pulsatile
(5)8 both	(22)3 local	(39)2 controlled	(56)2 scanning
(6)8 which	(23)3 mechanical	(40)2 current	(57)2 serum-free
(7)7 various	(24)2 null	(41)2 evaluation	(58)2 several
(8)6 conditions	(25)2 12	(42)2 ex	(59)2 simulated
(9)6 curve	(26)2 15	(43)2 extreme	(60)2 specific
(10)6 static	(27)2 2	(44)2 four	(61)2 steady-state
(11)5 and	(28)2 CA	(45)2 hypertensive	(62)2 therapy
(12)4 5	(29)2 CT	(46)2 hypoxia	(63)2 this
(13)4 certain	(30)2 H2O2-induced	(47)2 hypoxic	(64)2 time
(14)4 control	(31)2 UV	(48)2 inflammatory	(65)2 treatment
(15)4 either	(32)2 acute	(49)2 laser	(66)2 ultrasound
(16)4 in	(33)2 additive	(50)2 lateral	(67)2 vertical
(17)4 normal	(34)2 adverse	(51)2 mortality	(68)2 water

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--- WordNet output for under --- =>以下の, (治療, 試練, 刑罰)を受けて, 下部の, の下に, ・・の下に Overview of adj under The adj under has 2 senses (first 2 from tagged texts) 1. (2) nether, under -- (located below or beneath something else; "nether garments"; "the under parts of a machine") 2. (1) under -- (lower in rank, power, or authority; "an under secretary") Overview of adv under The adv under has 8 senses (first 1 from tagged texts) 1. (2) under -- (down to defeat, death, or ruin; "their competitors went under") 2. under -- (through a range downward; "children six and under will be admitted free") 3. under -- (into unconsciousness; "this will put the patient under") 4. under -- (in or into a state of subordination or subjugation; "we must keep our disappointment under") 5. under -- (below some quantity or limit; "fifty dollars or under") 6. under -- (below the horizon; "the sun went under") 7. under -- (down below; "get under quickly!") 8. under, below -- (further down; "see under for further discussion") --- WordNet end ---