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

Year Number of Results
1945 2
1946 2
1947 2
1948 7
1949 5
1950 6
1951 10
1952 6
1953 8
1954 12
1955 14
1956 7
1957 7
1958 12
1959 9
1960 8
1961 12
1962 5
1963 23
1964 22
1965 30
1966 18
1967 38
1968 35
1969 52
1970 44
1971 57
1972 72
1973 59
1974 71
1975 115
1976 159
1977 139
1978 147
1979 189
1980 178
1981 225
1982 259
1983 327
1984 400
1985 409
1986 422
1987 486
1988 757
1989 1363
1990 1753
1991 2188
1992 3075
1993 3312
1994 4545
1995 5247
1996 5925
1997 7063
1998 7470
1999 8418
2000 9536
2001 10798
2002 11058
2003 13076
2004 15292
2005 17993
2006 18905
2007 21234
2008 24068
2009 26771
2010 30063
2011 34049
2012 38832
2013 38901
2014 36786
2015 37951
2016 38586
2017 38200
2018 35459
2019 34596
2020 31578
2021 29085
2022 22583
2023 20420
2024 7524

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612,548 results

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Page 1
Statistical model error.
Ahmadi-Hadad A. Ahmadi-Hadad A. Kidney Int. 2023 Jun;103(6):1199. doi: 10.1016/j.kint.2023.03.001. Kidney Int. 2023. PMID: 37210196 No abstract available.
Statistical model-based approaches for functional connectivity analysis of neuroimaging data.
Foti NJ, Fox EB. Foti NJ, et al. Curr Opin Neurobiol. 2019 Apr;55:48-54. doi: 10.1016/j.conb.2019.01.009. Epub 2019 Feb 8. Curr Opin Neurobiol. 2019. PMID: 30739880 Review.
In contrast to the typical focus on a particular scientific question, we reframe a wider literature in terms of the underlying statistical model used. We distinguish between directed versus undirected and static versus time-varying connectivity. There are numerous a …
In contrast to the typical focus on a particular scientific question, we reframe a wider literature in terms of the underlying statistica …
Statistical model for dynamically-changing correlation matrices with application to brain connectivity.
Huang SG, Samdin SB, Ting CM, Ombao H, Chung MK. Huang SG, et al. J Neurosci Methods. 2020 Feb 1;331:108480. doi: 10.1016/j.jneumeth.2019.108480. Epub 2019 Nov 21. J Neurosci Methods. 2020. PMID: 31760059 Free PMC article. Review.
NEW METHOD: To overcome these limitations, we propose a new statistical model that smooths out the noise by exploiting the geometric structure of correlation matrices. ...COMPARISON WITH EXISTING METHODS: We demonstrate that the proposed statistical model …
NEW METHOD: To overcome these limitations, we propose a new statistical model that smooths out the noise by exploiting the geo …
A statistical model for helices with applications.
Mardia KV, Sriram K, Deane CM. Mardia KV, et al. Biometrics. 2018 Sep;74(3):845-854. doi: 10.1111/biom.12870. Epub 2018 Mar 22. Biometrics. 2018. PMID: 29569225 Free article.
Motivated by a cutting edge problem related to the shape of alpha -helices in proteins, we formulate a parametric statistical model, which incorporates the cylindrical nature of the helix. Our focus is to detect a "kink," which is a drastic change in the axial direc …
Motivated by a cutting edge problem related to the shape of alpha -helices in proteins, we formulate a parametric statistical mode …
Statistical model building: Background "knowledge" based on inappropriate preselection causes misspecification.
Hafermann L, Becher H, Herrmann C, Klein N, Heinze G, Rauch G. Hafermann L, et al. BMC Med Res Methodol. 2021 Sep 29;21(1):196. doi: 10.1186/s12874-021-01373-z. BMC Med Res Methodol. 2021. PMID: 34587892 Free PMC article.
BACKGROUND: Statistical model building requires selection of variables for a model depending on the model's aim. In descriptive and explanatory models, a common recommendation often met in the literature is to include all variables in the mod …
BACKGROUND: Statistical model building requires selection of variables for a model depending on the model's aim. …
Intraclass correlations: uses in assessing rater reliability.
Shrout PE, Fleiss JL. Shrout PE, et al. Psychol Bull. 1979 Mar;86(2):420-8. doi: 10.1037//0033-2909.86.2.420. Psychol Bull. 1979. PMID: 18839484 Review.
Relevant to the choice of the coefficient are the appropriate statistical model for the reliability and the application to be made of the reliability results. ...
Relevant to the choice of the coefficient are the appropriate statistical model for the reliability and the application to be …
Approximate Bayesian Techniques for Statistical Model Selection and Quantifying Model Uncertainty-Application to a Gait Study.
Franck CT, Arena SL, Madigan ML. Franck CT, et al. Ann Biomed Eng. 2023 Feb;51(2):422-429. doi: 10.1007/s10439-022-03046-4. Epub 2022 Aug 20. Ann Biomed Eng. 2023. PMID: 35987947
Frequently, biomedical researchers need to choose between multiple candidate statistical models. Several techniques exist to facilitate statistical model selection including adjusted R(2), hypothesis testing and p-values, and information criteria among …
Frequently, biomedical researchers need to choose between multiple candidate statistical models. Several techniques exist to f …
A statistical model for predicting PM(2.5) for the western United States.
Marsha A, Larkin NK. Marsha A, et al. J Air Waste Manag Assoc. 2019 Oct;69(10):1215-1229. doi: 10.1080/10962247.2019.1640808. Epub 2019 Sep 4. J Air Waste Manag Assoc. 2019. PMID: 31291168
A new statistical model for predicting daily ground level fine scale particulate matter (PM(2.5)) concentrations at monitoring sites in the western United States was developed and tested operationally during the 2016 and 2017 wildfire seasons. ...On average, our …
A new statistical model for predicting daily ground level fine scale particulate matter (PM(2.5)) concentrations at monitoring …
A statistical model of the rate-dependent fracture behavior of dental polymer-based biomaterials.
Schrader P, Schmidt A, Schlenz MA, Kolling S, Wöstmann B, Berlinger M. Schrader P, et al. Dent Mater J. 2023 Mar 30;42(2):177-186. doi: 10.4012/dmj.2022-163. Epub 2022 Dec 3. Dent Mater J. 2023. PMID: 36464291 Free article.
The crack-driven fracture process of polymers is largely stochastic and often dependent on the loading rate. Therefore, in this study, a statistical model was developed based on three-point bending tests on dental polymethyl methacrylate at different loading rates. …
The crack-driven fracture process of polymers is largely stochastic and often dependent on the loading rate. Therefore, in this study, a …
Estimating ancient biogeographic patterns with statistical model discrimination.
Gates TA, Cai H, Hu Y, Han X, Griffith E, Burgener L, Hyland E, Zanno LE. Gates TA, et al. Anat Rec (Hoboken). 2023 Jul;306(7):1880-1895. doi: 10.1002/ar.25067. Epub 2022 Sep 23. Anat Rec (Hoboken). 2023. PMID: 36151605
We present a linear regression method that allows for the discrimination of various hypothetical biogeographical models for determining which landscape distributional pattern best matches data from the fossil record. ...Future research aiming to reconstruct the distributio …
We present a linear regression method that allows for the discrimination of various hypothetical biogeographical models for determini …
612,548 results
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