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return kwic search for over out of >500 occurrences
295512 occurrences (No.81 in the rank) during 5 years in the PubMed. [no cache] 500 found

292) Population PKPD and TTE models allow for exploration towards describing the data, understanding the disease and drug action over time, investigating relevance of biomarkers, quantifying patient variability and in designing successful trials.

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PMID:24134068 DOI:10.1111/bcp.12258

2015 British journal of clinical pharmacology

* Population pharmacokinetic-pharmacodynamic modelling in oncology: a tool for predicting clinical response.

- In oncology trials, overall survival (OS) is considered the most reliable and preferred endpoint to evaluate the benefit of drug treatment. Other relevant variables are also collected from patients for a given drug and its indication, and it is important to characterize the dynamic effects and links between these variables in order to improve the speed and efficiency of clinical oncology drug development. However, the drug-induced effects and causal relationships are often difficult to interpret because of temporal differences. To address this, population pharmacokinetic-pharmacodynamic (PKPD) modelling and parametric time-to-event (TTE) models are becoming more frequently applied. Population PKPD and TTE models allow for exploration towards describing the data, understanding the disease and drug action over time, investigating relevance of biomarkers, quantifying patient variability and in designing successful trials. In addition, development of models characterizing both desired and adverse effects in a modelling framework support exploration of risk-benefit of different dosing schedules. In this review, we have summarized population PKPD modelling analyses describing tumour, tumour marker and biomarker responses, as well as adverse effects, from anticancer drug treatment data. Various model-based metrics used to drive PD response and predict OS for oncology drugs and their indications are also discussed.

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[frequency of next (right) word to over]

(1)145 the	(8)6 their	(15)3 four	(22)2 40
(2)70 time	(9)4 6	(16)3 longer	(23)2 OP
(3)67 a	(10)4 in	(17)3 other	(24)2 another
(4)12 time,	(11)3 1	(18)3 placebo	(25)2 collagen)
(5)9 of	(12)3 12	(19)2 2	(26)2 left
(6)7 and	(13)3 24	(20)2 30	(27)2 long
(7)6 an	(14)3 65	(21)2 4	(28)2 settlement

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--- WordNet output for over --- =>1.超えて, 一面に, 移って, 始めから終わりまで, 終わって, を支配して, の間, しながら, 倒れて, の上に, を覆って, を越えて, の向こう側に, より多く, 2.もう一度, 繰り返して Overview of noun over The noun over has 1 sense (no senses from tagged texts) 1. over -- ((cricket) the division of play during which six balls are bowled at the batsman by one player from the other team from the same end of the pitch) Overview of adj over The adj over has 1 sense (first 1 from tagged texts) 1. (21) complete, concluded, ended, over, all over, terminated -- (having come or been brought to a conclusion; "the harvesting was complete"; "the affair is over, ended, finished"; "the abruptly terminated interview") Overview of adv over The adv over has 5 senses (first 3 from tagged texts) 1. (23) over -- (at or to a point across intervening space etc.; "come over and see us some time"; "over there") 2. (2) over -- (throughout an area; "he is known the world over") 3. (1) over, o'er -- (throughout a period of time; "stay over the weekend") 4. over -- (beyond the top or upper surface or edge; forward from an upright position; "a roof that hangs over";) 5. all over, over -- (over the entire area; "the wallpaper was covered all over with flowers"; "she ached all over"; "everything was dusted over with a fine layer of soot") --- WordNet end ---