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1 e (A) (purine to purine) (p<0.001, Pearson's goodness-of-fit test).
2 bration (P = .33 vs P = .02, Hosmer-Lemeshow goodness-of-fit test).
3 ating characteristic curve) and calibration (goodness-of-fit testing).
4 E are commonly performed using a simple chi2 goodness-of-fit test.
5 tudied using the Greenwood Nam-D'Agostino x2 goodness-of-fit test.
6  was evaluated with the Gronnesby and Borgan goodness-of-fit test.
7  tests, the chi 2 and the Kolmogorov-Smirnov goodness of fit tests.
8 libration was assessed using Hosmer-Lemeshow goodness-of-fit tests.
9 g control, compared with the C statistic and goodness-of-fit tests.
10  assessed through prediction diagnostics and goodness-of-fit tests.
11 d a small number of alleles, and approximate goodness-of-fit tests.
12 tatus Epilepticus Severity Score (chi-square goodness-of-fit test = 1.39; p = 0.845).
13                                     From the goodness-of-fit test, a critical percentage for each adm
14      Although the power-law model failed the goodness of fit test, after incorporating social network
15 s evaluated by measuring the Hosmer-Lemeshow goodness of fit test and calibration curve.
16 The PBMS NLME method was performed using the goodness-of-fit test and Akaike weight to select the bes
17  Harrell C index, a modified Hosmer-Lemeshow goodness-of-fit test and calibration curves, and reclass
18 el); C-statistic and 95% CI; Hosmer-Lemeshow goodness-of-fit test and calibration plots; and sensitiv
19 These model fits can pass a host of standard goodness-of-fit tests and other model-selection diagnost
20                                              Goodness-of-fit tests and receiver operating characteris
21 on diversity index and the p-value from x(2) goodness-of-fit test are calculated to measure its stati
22 tes of heritability; and (iv) we developed a goodness of fit test based on the correlation of viral l
23  (discrimination) and by the Hosmer-Lemeshow goodness-of-fit test (calibration).
24 well as good calibration (as measured by the goodness-of-fit test comparing observed to expected coun
25  quantile regressions were evaluated using a goodness-of-fit test derived from the cumulative sum of
26                            We also propose a goodness-of-fit test for discriminating rejections due t
27 d by this problem we propose a nonparametric goodness-of-fit test for two empirical distributions of
28 el C index) and calibration (Hosmer-Lemeshow goodness-of-fit test) for prediction of in-hospital and
29                                     However, goodness-of-fit tests found that even bounded power-law
30                          The Hosmer-Lemeshow goodness of fit test indicated that the predictive model
31 y of observed against predicted outcomes and goodness-of-fit test indicated good calibration of the s
32                              The three-level goodness-of-fit test indicated satisfactory performance
33                                              Goodness-of-fit testing indicated excellent model calibr
34                                              Goodness-of-fit tests indicated that this PRS was well c
35                             Software for the goodness-of-fit test is available as a Julia package at
36                     Segregation analysis and goodness-of-fit testing of genetic models suggest that r
37 e study of animal demography include running goodness-of-fit tests on a general starting model.
38 ve of 0.80) and calibration (Hosmer-Lemeshow goodness-of-fit test, P = 0.102) when applied to the ADR
39 monstrated good calibration (Hosmer-Lemeshow goodness-of-fit test, P = 0.71) and discrimination (c-st
40 e show, however, that despite passing common goodness-of-fit tests, PP-GLMs estimated from data are o
41 -recall curve (AUCPR), Hosmer-Lemeshow (H-L) goodness-of-fit test, precision, sensitivity, accuracy,
42 logistic curve-fit evaluated by a Chi-square goodness-of-fit-test, receiver operating characteristic
43                                Surprisingly, goodness-of-fit tests reveal that this class of phenotyp
44                                            A goodness-of-fit test revealed that DR-DQ haplotype shari
45 ing 1- and 2-tissue-compartment models, with goodness-of-fit tests showing a preference for the 2-tis
46 e representation of data, which are based on goodness-of-fit test statistics and standard errors of p
47 l using various model selection criteria and goodness-of-fit test statistics.
48                                              Goodness-of-fit tests strongly supported the fit of the
49                                          The goodness-of-fit test suggests that the phylogenetic mode
50 atio test of selection in conjunction with a goodness-of-fit test supports the selection hypothesis o
51  typing using either sampling into UMAT or a goodness-of-fit test test with a variance estimate takin
52                            We also propose a goodness-of-fit test to aid investigators in determining
53 or the observed number of conversions, and a goodness-of-fit test to compare the observed number of c
54 rse Gaussian frailty was applied following a goodness-of-fit test to identify predictors of time to r
55                            We propose here a goodness-of-fit test to quantify the fit between data ob
56  evaluate discrimination and Hosmer-Lemeshow goodness-of-fit tests to evaluate calibration.
57 tatistically significant and Hosmer-Lemeshow goodness-of-fit test was run to ascertain the fitness of
58                          Using a chi-squared goodness-of-fit test, we identified 10 amino acid sites
59 (T classes vs. T + 1 classes) and chi-square goodness-of-fit tests were evaluated using parametric bo
60                                              Goodness-of-fit tests were more sensitive than the recei
61 g and validation samples as indicated by the goodness-of-fit test, which evaluated standardized nosoc
62 f the validity of a scoring system--and chi2 goodness-of-fit testing with data from 197 patients.