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1801 3
1804 1
1806 2
1807 1
1810 1
1811 2
1812 2
1813 3
1814 1
1815 2
1816 4
1817 2
1819 1
1820 1
1821 1
1823 2
1824 1
1825 1
1826 5
1827 4
1828 2
1829 3
1830 1
1831 9
1832 3
1833 1
1835 2
1837 2
1838 4
1839 5
1841 4
1842 7
1843 1
1844 8
1845 4
1846 6
1848 3
1849 5
1850 10
1851 5
1852 7
1853 9
1854 8
1855 6
1856 3
1857 2
1858 3
1860 1
1861 4
1862 2
1863 1
1864 6
1866 7
1867 2
1868 3
1869 5
1870 3
1871 4
1872 9
1873 6
1874 11
1875 7
1876 3
1877 6
1878 10
1879 8
1880 3
1881 6
1882 7
1883 6
1884 6
1885 16
1886 2
1887 8
1888 5
1889 4
1890 6
1891 2
1892 1
1893 2
1894 8
1895 4
1896 7
1897 4
1898 3
1899 6
1900 4
1901 7
1902 4
1903 5
1904 2
1905 2
1906 5
1907 7
1908 9
1909 13
1910 8
1911 9
1912 8
1913 6
1914 12
1915 4
1916 8
1917 7
1918 8
1919 4
1920 11
1921 9
1922 9
1923 8
1924 14
1925 14
1926 10
1927 18
1928 17
1929 15
1930 14
1931 16
1932 11
1933 16
1934 13
1935 12
1936 9
1937 4
1938 10
1939 10
1940 10
1941 7
1942 8
1943 3
1944 10
1945 34
1946 83
1947 104
1948 112
1949 112
1950 126
1951 171
1952 204
1953 225
1954 215
1955 227
1956 262
1957 257
1958 268
1959 266
1960 245
1961 323
1962 386
1963 453
1964 540
1965 499
1966 501
1967 552
1968 627
1969 646
1970 678
1971 788
1972 832
1973 897
1974 951
1975 1929
1976 2031
1977 1956
1978 2072
1979 2133
1980 2327
1981 2250
1982 2563
1983 2939
1984 3173
1985 3279
1986 3328
1987 3458
1988 3750
1989 4550
1990 4873
1991 4908
1992 4966
1993 5315
1994 5537
1995 5724
1996 5807
1997 5923
1998 5945
1999 6052
2000 6568
2001 6975
2002 7285
2003 7414
2004 8069
2005 9264
2006 10146
2007 10890
2008 11724
2009 12299
2010 13126
2011 14118
2012 15387
2013 16265
2014 17344
2015 17800
2016 18672
2017 19839
2018 20736
2019 22558
2020 26080
2021 30095
2022 31670
2023 31184
2024 11751

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461,174 results

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Page 1
Risk prediction models: II. External validation, model updating, and impact assessment.
Moons KG, Kengne AP, Grobbee DE, Royston P, Vergouwe Y, Altman DG, Woodward M. Moons KG, et al. Heart. 2012 May;98(9):691-8. doi: 10.1136/heartjnl-2011-301247. Epub 2012 Mar 7. Heart. 2012. PMID: 22397946 Review.
To these ends, developed models first and foremost need to provide accurate and (internally and externally) validated estimates of probabilities of specific health conditions or outcomes in the targeted individuals. ...In this second paper, an overview is provided of the c …
To these ends, developed models first and foremost need to provide accurate and (internally and externally) validated estimates of pr …
External validation of prognostic models: what, why, how, when and where?
Ramspek CL, Jager KJ, Dekker FW, Zoccali C, van Diepen M. Ramspek CL, et al. Clin Kidney J. 2020 Nov 24;14(1):49-58. doi: 10.1093/ckj/sfaa188. eCollection 2021 Jan. Clin Kidney J. 2020. PMID: 33564405 Free PMC article. Review.
Various methodological considerations are important when assessing or designing an external validation study. In this article, an overview is provided of these considerations, starting with what external validation is, what types of external validation can be …
Various methodological considerations are important when assessing or designing an external validation study. In this article, an ove …
External validation of existing dementia prediction models on observational health data.
John LH, Kors JA, Fridgeirsson EA, Reps JM, Rijnbeek PR. John LH, et al. BMC Med Res Methodol. 2022 Dec 5;22(1):311. doi: 10.1186/s12874-022-01793-5. BMC Med Res Methodol. 2022. PMID: 36471238 Free PMC article. Review.
Externally validating an existing prediction model is a difficult task, where we mostly rely on the completeness of model reporting in a published article. In this study, we aim to externally validate existing dementia prediction models. To that end, we define model
Externally validating an existing prediction model is a difficult task, where we mostly rely on the completeness of model reporting i
External Validations of Cardiovascular Clinical Prediction Models: A Large-Scale Review of the Literature.
Wessler BS, Nelson J, Park JG, McGinnes H, Gulati G, Brazil R, Van Calster B, van Klaveren D, Venema E, Steyerberg E, Paulus JK, Kent DM. Wessler BS, et al. Circ Cardiovasc Qual Outcomes. 2021 Aug;14(8):e007858. doi: 10.1161/CIRCOUTCOMES.121.007858. Epub 2021 Aug 3. Circ Cardiovasc Qual Outcomes. 2021. PMID: 34340529 Free PMC article. Review.
RESULTS: We identified 2030 external validations of 1382 CPMs. Eight hundred seven (58%) of the CPMs in the Registry have never been externally validated. ...A single external validation appears insufficient to broadly understand the performance heterogeneity …
RESULTS: We identified 2030 external validations of 1382 CPMs. Eight hundred seven (58%) of the CPMs in the Registry have never been …
External cephalic version.
Coco AS, Silverman SD. Coco AS, et al. Am Fam Physician. 1998 Sep 1;58(3):731-8, 742-4. Am Fam Physician. 1998. PMID: 9750541 Free article. Review.
External cephalic version is a procedure that externally rotates the fetus from a breech presentation to a vertex presentation. External version has made a resurgence in the past 15 years because of a strong safety record and a success rate of about 65 percen
External cephalic version is a procedure that externally rotates the fetus from a breech presentation to a vertex presentation
Reconceptualising the external validity of discrete choice experiments.
Lancsar E, Swait J. Lancsar E, et al. Pharmacoeconomics. 2014 Oct;32(10):951-65. doi: 10.1007/s40273-014-0181-7. Pharmacoeconomics. 2014. PMID: 24920196 Review.
While an important component, we argue that the investigation of external validity should be much broader than a comparison of final outcomes. In doing so, we introduce a new and more comprehensive conceptualisation of external validity, closely linked to process va …
While an important component, we argue that the investigation of external validity should be much broader than a comparison of final …
External Field-Controlled Ablation: Magnetic Field.
Maksimovic J, Ng SH, Katkus T, Cowie BCC, Juodkazis S. Maksimovic J, et al. Nanomaterials (Basel). 2019 Nov 22;9(12):1662. doi: 10.3390/nano9121662. Nanomaterials (Basel). 2019. PMID: 31766656 Free PMC article.
Ultra-short 230 fs laser pulses of 1030 nm wavelengths were utilised in the single and multi-pulse irradiation modes. Ablation with an externally applied magnetic B-field B e x t 0.15 T was shown to strongly affect debris formation and deposition. The mechanism of surface …
Ultra-short 230 fs laser pulses of 1030 nm wavelengths were utilised in the single and multi-pulse irradiation modes. Ablation with an ex
External evaluation of population pharmacokinetic models for voriconazole in Chinese adult patients with hematological malignancy.
Huang W, Zheng Y, Huang H, Cheng Y, Liu M, Chaphekar N, Wu X. Huang W, et al. Eur J Clin Pharmacol. 2022 Sep;78(9):1447-1457. doi: 10.1007/s00228-022-03359-2. Epub 2022 Jun 28. Eur J Clin Pharmacol. 2022. PMID: 35764817
However, most of the published models have not been strictly evaluated externally. The purpose of this study is to evaluate these models externally and assess their predictive capabilities. ...RESULTS: A total of 237 samples from 166 patients were collected as an …
However, most of the published models have not been strictly evaluated externally. The purpose of this study is to evaluate these mod …
Selecting External Controls for Internal Cases Using Stratification Score Matching Methods.
Busgang SA, Waller LA, Colicino E, D'Agostino R Jr, Hertz-Picciotto I, Gennings C. Busgang SA, et al. Int J Environ Res Public Health. 2022 Feb 23;19(5):2549. doi: 10.3390/ijerph19052549. Int J Environ Res Public Health. 2022. PMID: 35270242 Free PMC article.
In the present study, we assess whether controls selected externally, using stratification score (SS) matching, can serve as effective proxies for internal controls. ...The association between MEPB and ASD compared to the controls was similar between the externally
In the present study, we assess whether controls selected externally, using stratification score (SS) matching, can serve as effectiv …
External Validation and Transportability of Models to Predict Acute Kidney Injury in the Intensive Care Unit.
Vagliano I, Byrne Salsas C, Wünn T, Schut MC. Vagliano I, et al. Stud Health Technol Inform. 2022 Jun 29;295:148-151. doi: 10.3233/SHTI220683. Stud Health Technol Inform. 2022. PMID: 35773829
External validation of models for the prediction of acute kidney injury (AKI) is rare. We externally validate AKI prediction models in intensive care units. The models were developed on the Medical Information Mart for Intensive Care dataset and validated on the eIC
External validation of models for the prediction of acute kidney injury (AKI) is rare. We externally validate AKI prediction m
461,174 results
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