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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1909 1
1914 1
1916 1
1926 1
1928 1
1935 1
1936 2
1942 2
1943 3
1944 1
1946 1
1948 2
1949 3
1950 2
1952 3
1953 2
1954 2
1955 3
1956 5
1957 6
1958 4
1959 8
1960 5
1961 8
1962 7
1963 16
1964 14
1965 10
1966 12
1967 23
1968 32
1969 35
1970 27
1971 36
1972 56
1973 54
1974 93
1975 702
1976 770
1977 687
1978 724
1979 823
1980 1039
1981 1184
1982 1419
1983 1849
1984 1934
1985 2139
1986 2317
1987 2437
1988 2592
1989 3124
1990 3529
1991 3900
1992 4256
1993 4542
1994 5024
1995 5607
1996 5757
1997 5248
1998 5289
1999 5888
2000 6465
2001 6921
2002 7329
2003 8117
2004 8442
2005 9163
2006 9277
2007 9576
2008 9777
2009 9621
2010 10298
2011 11108
2012 12347
2013 12535
2014 12972
2015 13309
2016 13569
2017 13944
2018 14333
2019 14650
2020 16174
2021 17305
2022 16609
2023 15343
2024 5818

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324,366 results

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Page 1
Data-dependent contrast test for dose-finding clinical trials.
Kojima M. Kojima M. Contemp Clin Trials. 2023 Aug;131:107265. doi: 10.1016/j.cct.2023.107265. Epub 2023 Jun 10. Contemp Clin Trials. 2023. PMID: 37308075
Using the best model, a recommended dose is identified. We demonstrate the data-dependent contrast test for sample data. ...We confirm the dose response for both the sample data and the actual study. In the simulation study, the data-depe …
Using the best model, a recommended dose is identified. We demonstrate the data-dependent contrast test for sample data …
Dose-Response Modeling: Extrapolating From Experimental Data to Real-World Populations.
Pratt A, Bennett E, Gillard J, Leach S, Hall I. Pratt A, et al. Risk Anal. 2021 Jan;41(1):67-78. doi: 10.1111/risa.13597. Epub 2020 Sep 23. Risk Anal. 2021. PMID: 32966638
Dose-response modeling of biological agents has traditionally focused on describing laboratory-derived experimental data. ...With data sets drawn from dose-response experiments of inhalational anthrax, plague, and tularemia, we illustrate how for certa …
Dose-response modeling of biological agents has traditionally focused on describing laboratory-derived experimental data. ...W …
Using sparse dose-response data for wildlife risk assessment.
Hill RA, Pyper BJ, Lawrence GS, Mann GS, Allard P, Mackintosh CE, Healey N, Dwyer J, Trowell J. Hill RA, et al. Integr Environ Assess Manag. 2014 Jan;10(1):3-11. doi: 10.1002/ieam.1477. Epub 2013 Dec 10. Integr Environ Assess Manag. 2014. PMID: 23913468 Review.
To better characterize risks to wildlife and support more informed decision making, practitioners should make full use of available dose-response data. First, relevant studies should be compiled and data extracted. ...The most common dose-response mode …
To better characterize risks to wildlife and support more informed decision making, practitioners should make full use of available dose …
Evaluation of pharmacokinetic, pharmacodynamic, efficacy, and safety data of low-dose ticagrelor versus standard dose in East Asians: a systematic review.
Lee YJ, Kim H, Choi J, Lee BH, Lee SY. Lee YJ, et al. Ther Clin Risk Manag. 2018 Jan 8;14:83-93. doi: 10.2147/TCRM.S152276. eCollection 2018. Ther Clin Risk Manag. 2018. PMID: 29386900 Free PMC article. Review.
Pharmacokinetic (PK), pharmacodynamic (PD), clinical efficacy, and safety data were collected. PK data demonstrated that the C(max) and area under the curve (AUC) of ticagrelor increased dose-proportionally. PD data indicated that while the low dose …
Pharmacokinetic (PK), pharmacodynamic (PD), clinical efficacy, and safety data were collected. PK data demonstrated that the C …
Radial Data Mining to Identify Density-Dose Interactions That Predict Distant Failure Following SABR.
Davey A, van Herk M, Faivre-Finn C, McWilliam A. Davey A, et al. Front Oncol. 2022 Mar 9;12:838155. doi: 10.3389/fonc.2022.838155. eCollection 2022. Front Oncol. 2022. PMID: 35356210 Free PMC article.
We propose an image-based data mining methodology to investigate density-dose interactions radially from the GTV to predict DM with no a priori assumption on location. ...This could accelerate the clinical implementation of imaging biomarkers by demonstrating the im …
We propose an image-based data mining methodology to investigate density-dose interactions radially from the GTV to predict DM …
Chemotherapy dose and dose intensity: analyzing data to guide therapeutic decisions.
Gillespie TW. Gillespie TW. Oncol Nurs Forum. 2001 Mar;28(2 Suppl):5-10. Oncol Nurs Forum. 2001. PMID: 11291209 Review.
PURPOSE/OBJECTIVES: To provide key examples from the oncology literature related to chemotherapy dose/dose intensity to guide nurses in evidence-based decision making. ...CONCLUSIONS: Therapeutic decision making ideally should be data driven. Dose and …
PURPOSE/OBJECTIVES: To provide key examples from the oncology literature related to chemotherapy dose/dose intensity to guide …
Effective dose of dental CBCT-a meta analysis of published data and additional data for nine CBCT units.
Ludlow JB, Timothy R, Walker C, Hunter R, Benavides E, Samuelson DB, Scheske MJ. Ludlow JB, et al. Dentomaxillofac Radiol. 2015;44(1):20140197. doi: 10.1259/dmfr.20140197. Dentomaxillofac Radiol. 2015. PMID: 25224586 Free PMC article. Review.
Challenges to accurate calculation of dose are discussed and the use of dose-height product (DHP) as an alternative to dose-area product (DAP) is explored. METHODS: The English literature on effective dose was reviewed. Data from these studies t …
Challenges to accurate calculation of dose are discussed and the use of dose-height product (DHP) as an alternative to dose …
Quantifying uncertainty in dose-response screenings of nanoparticles: a Bayesian data analysis.
Simeone FC, Costa AL. Simeone FC, et al. Nanotoxicology. 2022 Mar;16(2):135-151. doi: 10.1080/17435390.2022.2038298. Epub 2022 Mar 14. Nanotoxicology. 2022. PMID: 35286814
Fitting theoretical models to experimental data for dose-response screenings of nanoparticles yields values of several hazard metrics that can support risk management. In this paper, we describe a Bayesian approach to the analysis of dose-response data …
Fitting theoretical models to experimental data for dose-response screenings of nanoparticles yields values of several hazard …
[Low-dose helical CT projection data restoration using noise estimation].
He F, Wang Y, Tao X, Zhu M, Hong Z, Bian Z, Ma J. He F, et al. Nan Fang Yi Ke Da Xue Xue Bao. 2022 Jun 20;42(6):849-859. doi: 10.12122/j.issn.1673-4254.2022.06.08. Nan Fang Yi Ke Da Xue Xue Bao. 2022. PMID: 35790435 Free PMC article. Chinese.
OBJECTIVE: To build a helical CT projection data restoration model at random low-dose levels. METHODS: We used a noise estimation module to achieve noise estimation and obtained a low-dose projection noise variance map, which was used to guide projection d …
OBJECTIVE: To build a helical CT projection data restoration model at random low-dose levels. METHODS: We used a noise estimat …
Analysis of occupational radiation dose data and determination of suitable probability distribution.
Patil S, Bakshi A. Patil S, et al. Radiat Prot Dosimetry. 2023 Jul 5;199(11):1208-1222. doi: 10.1093/rpd/ncad160. Radiat Prot Dosimetry. 2023. PMID: 37259618
The first study on fitting dose data for workers was performed by Gale( 1) in 1965 where log-normal and normal distributions were used. Since then, various models of dose distribution have been proposed. The log-normal distribution and its different forms hav …
The first study on fitting dose data for workers was performed by Gale( 1) in 1965 where log-normal and normal distributions w …
324,366 results
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