ライフサイエンスコーパス: quantile

1 tients with OHCA in each neighborhood racial quantile.

2 of 1% to 1.5%, and diminishing in the upper quantiles.

3 les against the average of the corresponding quantiles.

4 ts were confirmed by parallel analyses using quantiles.

5 1.07, 5.03) comparing highest versus lowest quantiles.

6 distribution (3.5%) and larger in the upper quantiles (4.5%).

7 regression analysis showed that, at the 0.1 quantile, 50% of K was lost at -2.58 and -3.84 MPa in P.

8 ind significant upward trends for wind speed quantiles above the 70th percentile, with trends as high

9 isplays the difference between corresponding quantiles against the average of the corresponding quant

10 NGAL and IL-18 quantiles also predicted graft recovery up to 3 mo later

11 pite the modest effect sizes of current GPS, quantile analyses illustrate the ability to stratify ind

12 and sputum bacillary burden were assessed by quantile and hurdle regression.

13 levels of processing or convenience by using quantile and logistic regression.

14 r each tumor site was examined, and multiple quantile and logistic regressions were used to compare c

15 For example, analytic methods such as quantile and multinomial logistic regression can describ

16 Quantile and rank normalizations are two widely used pre

17 lity levels based on their location-specific quantiles and accounts for spatiotemporal variations usi

18 sequent transformation of probabilities into quantiles and finally a methylation-dependent dilation t

19 monly used normalization global, median-IQR, quantile, and cyclic loess normalization in simulation s

20 the highest ALA quantile with the lowest ALA quantile, and risk estimates were combined by using a ra

21 Techniques involving moving quantiles are introduced to generate secondary plots in

22 s and 59,231 individuals, we used the lowest quantile as the reference category.

23 ange in a study, the normalization to common quantiles at the probe set level is essential.

24 This study proposes a novel quantile-based Bayesian maximum entropy (QBME) method to

25 A normal-distribution-quantile-based method is used for data transformation.

26 A mixture normal quantile-based method was used to transform data.

27 In this article we propose a quantile-based permutation approach that simultaneously

28 to the state-of-the-art Bayesian Binning in Quantiles (BBQ) method when the SVM models are able to e

29 associated with higher adult BMI in the 75th quantile (beta = 0.06 (standard error, 0.03) kg).

30 gy for 450 k data, called BMIQ (Beta MIxture Quantile dilation), to adjust the beta-values of type2 d

31 increases in risk in a comparison of extreme quantiles: eggs [hazard ratio (HR): 2.02; 95% CI: 1.10,

32 U.S. radiologists (ie, the 11% in the lowest quantile for accuracy) from performing mammographic inte

33 4 immune function genes at or above the 0.40 quantile for the population.

34 cal analysis included the calculation of 95% quantiles for defining cutoff values.

35 Scatter plots of C-peptide and quantiles for ln(C-peptide) indicated that 12 ng/ml coul

36 The quantiles for normalization can be either empirical or t

37 In a synopsis of both data sets, 95% quantiles for RA area in strength atheletes and nonathle

38 In order to compute the quantile function, we may use either an independence ass

39 calculating, for a given scoring matrix, the quantile function, which assigns a probability, or p, va

40 TLs that are associated with the conditional quantile functions of gene expression.

41 ion; offspring of persons within the highest quantile (>238 g/week) had an adjusted increase of 2.29

42 .11, 2.44) and was associated with the upper quantiles (>/=75th percentile) of BMI at age 20 years.

43 0.22; P < 0.0001); and (3) CNI exposure (per quantile increase, beta = -2.42 +/- 0.59; P < 0.0001).

44 with heterogeneous effects across different quantile levels.

45 Age- and sex-based upper (97.5th quantile) limits were: -14.4% to -17.1% (women) and -14.

46 with adult BMI in daughters at midlife using quantile, linear, and logistic regression models.

47 ernative nonlinear normalization approaches: quantile, lowess, robust lowess, invariant set, and cros

48 Quantile median regression analysis was used to compare

49 hms such as the invariant-set, sub-array and quantile method.

50 Linear, piecewise, and quantile mixed-effects regression models were used.

51 e drinking water standard (DWS), peak (>90th quantile) nitrate concentration, and nitrate flux.

52 the third technique extrapolates the popular quantile normalization algorithm for between-array norma

53 ormalized values similar to cyclic loess and quantile normalization and is fast; it is at least an or

54 ize of the restriction fragment, requiring a quantile normalization approach that reduces the influen

55 rasample normalization method, together with quantile normalization as a subsequent complemental inte

56 is more versatile than both cyclic loess and quantile normalization because it is model-based.

57 achieved by implementing a stable gene-based quantile normalization method for array-to-array normali

58 First, we use the quantile normalization on the original intensities to gu

59 ly used normalization methods that include a quantile normalization step perform well when factor occ

60 rocedures, such as background correction and quantile normalization, fail to adequately remove system

61 sample global normalization methods, such as quantile normalization, have been successfully used to r

62 immed mean of perfect match intensities with quantile normalization.

63 perfect match and mismatch intensities with quantile normalization.

64 han cyclic loess and approaches the speed of quantile normalization.

65 s normalization and with speed comparable to quantile normalization.

66 ean basin, with the largest increase at this quantile occurring over the North Atlantic, although not

67 mpared with the lowest quantile, the highest quantile of adherence to a Mediterranean diet was associ

68 daughters, particularly for the highest 90th quantile of adult BMI (beta = 0.64 (standard error, 0.26

69 ffectively discover genes based on a desired quantile of differential gene expression.

70 Comparison of the highest with the lowest quantile of fasting insulin concentrations showed a pool

71 s had a rate of change faster than the fifth quantile of healthy eyes.

72 Lowest quantile of intake was used as the comparison group.

73 ses and land-use change drivers also vary by quantile of the disease distribution.

74 oth cholecystectomy and hernia repair as the quantile of total costs increased ($38,410 for cholecyst

75 increased risk comparing the top and bottom quantiles of consumption.

76 We cross-tabulated the quantiles of disability-adjusted life-years (DALYs) by q

77 or adenomas comparing the highest and lowest quantiles of exposure were 0.63 (95% confidence interval

78 ving (6.7, 8, or 12 oz)/d] and lowest (none) quantiles of intake were compared.

79 periodontal disease history based on extreme quantiles of model-predicted values yielded high sensiti

80 limitations by examining trends in the upper quantiles of per-cyclone maximum wind speeds (that is, t

81 elative risk estimates that compared extreme quantiles of saturated fat intake were 1.07 (95% CI: 0.9

82 Risk estimates of extreme quantiles of SSB intake (lowest compared with highest) f

83 , but the disparity was smaller in the lower quantiles of the distribution (3.5%) and larger in the u

84 ith the disparity being greater in the lower quantiles of the distribution, of the order of 1% to 1.5

85 of subjects, compute the empirical (sample) quantiles of the marginal data, and then use these value

86 pollution and DNA methylation differs across quantiles of the methylation distribution.

87 assessed the risk of hospital death based on quantiles of tidal volume, positive end-expiratory press

88 of differential expression analysis based on quantile or rank normalized gene expressions can never r

89 IP experiment and is not a variant of mean, quantile, or other methodology previously proposed.

90 5), but was nominally significant at the 25% quantile (P = 0.015).

91 chment was not significant at the 5% P-value quantile (P = 0.35), but was nominally significant at th

92 ght were relatively more important for lower quantiles, particularly at age 40 years.

93 n, these tables have the empirical bivariate quantile-partitioned (EBQP) distribution.

94 Bonferroni correction and evaluated by using quantile-quantile (Q-Q) plots.

95 Quantile-quantile (QQ) plots and Manhattan plots are cla

96 It is analogous to an empirical quantile-quantile plot that has been rotated 45 degrees.

97 matic bias in our interaction analyses using quantile-quantile plots and genome-wide inflation factor

98 Quantile-quantile plots indicated that the genecentric a

99 Results of r(2) fitting of the chi-squared quantile-quantile plots on the seven anatomical regions

100 Quantile-quantile plots showed unequal changes in the BM

101 A quantile-quantile probability plot indicated that the di

102 In this paper, we develop a Quantile Rank-score based test (QRank), which provides a

103 ies defined by the random empirical marginal quantiles rather than by preset cutpoints, so these tabl

104 winter seasons, linear regression and linear quantile regression analyses for the 2005-2011 LOS data

105 Using quantile regression analyses, we show that the impact of

106 Quantile regression analysis of the distributional effec

107 Quantile regression analysis showed that, at the 0.1 qua

108 Quantile regression analysis with BMI was used to determ

109 EDSS change were then assessed using median quantile regression analysis.

110 e compared with those in England by use of a quantile regression analysis.

111 ation by minimizing an asymmetric loss using quantile regression and extracts outlier proteins whose

112 e of local ancestry (EILA), which uses fused quantile regression and k-means classifier to infer the

113 We used quantile regression and random slope models to investiga

114 for any standard regression model, including quantile regression and survival analysis.

115 -T indices were assessed using multivariable quantile regression at the 50th and 75th percentiles of

116 We reported the quantile regression coefficients that corresponded to ab

117 s of gains and losses in a fused regularized quantile regression framework, incorporating physical lo

118 Quantile regression illustrated the differential effect

119 h percentile limits for these measures using quantile regression in 401 participants free of prevalen

120 etween groups with analyses of covariance or quantile regression in all patients who completed the 52

121 Quantile regression is a promising method for the analys

122 ession model based on three motivations: (1) quantile regression may provide a more comprehensive pic

123 and logistic regression) were compared with quantile regression methods to assess the independent ef

124 In this article, we consider a fused quantile regression model based on three motivations: (1

125 4; 95% CI, 0.61-1.47), with estimates from a quantile regression model showing greater adverse impact

126 Generalized quantile regression modeling was used to estimate the ef

127 Multivariate logistic and quantile regression models included index hospital for-p

128 Quantile regression models indicated that birth weight d

129 this dataset, we estimate random-effects and quantile regression models of disease incidence.

130 h statistical significance was observed with quantile regression models only at the 75th percentile.

131 In quantile regression of the top 50% of patients, blacks h

132 Quantile regression showed modestly smaller MD confidenc

133 of ultrasound measurements were analyzed by quantile regression to establish longitudinal reference

134 Then we performed linear quantile regression to identify genes with a cartilage-r

135 Quantile regression was used to analyze percentiles of B

136 inst the MD for the five repeated tests, and quantile regression was used to show the relationship of

137 Quantile regression was used to test median sex differen

138 Binomial and quantile regression were used to investigate the relatio

139 variable conditional logistic regression and quantile regression were used to study the association o

140 e and multiple linear regression, as well as quantile regression, analyses were performed to investig

141 We used quantile regression, controlling for patient, operative,

142 With linear and quantile regression, we examined associations between ma

143 al regression, restricted cubic splines, and quantile regression, with the latter providing the best

144 mmatory mediators were compared using median quantile regression.

145 icant interactions are then identified using quantile regression.

146 trends over time using linear, logistic, and quantile regression.

147 diagnostic imaging rate quartiles and with a quantile regression.

148 iations of the two testing methods following quantile regression.

149 Reference values were estimated using quantile regression.

150 We fit quantile regressions for longitudinal data to investigat

151 dian climate across a species range is weak, quantile regressions revealed strong effects on range li

152 Quantile regressions suggested that ceiling effects migh

153 rvival (conditional on past performance) and quantile regressions to assess bias from measurement flo

154 bundances were tested using mixed models and quantile regressions.

155 aches, performing favorably in comparison to quantile (RMA), Z-score or rank methods.

156 g simulations, we explore the utility of the quantile, slope index of inequality, and relative distri

157 We used weighted quantile sum (WQS) regression to model the association o

158 glutathione system biomarkers using weighted quantile sum regression (WQS).

159 regression of nutrient indices and weighted quantile sum regression analysis.

160 demonstrated the usefulness of the weighted quantile sum regression method in the evaluation of diet

161 irically weighted indices using the weighted quantile sum regression method of "good" micronutrients

162 Weighted-quantile-sum (WQS) regression showed that higher lifetim

163 nment interactions with exposures grouped by quantiles that are explicitly tailored to the study at h

164 studies showed that compared with the lowest quantile, the highest quantile of adherence to a Mediter

165 output of 2405 GJ ha(-1) year(-1) (5 and 95% quantile values of 1940-2920) and mean GHG offsets of 46

166 el equivalent by 2100 and 72 cm by 2200 (95% quantiles) where the ASE dominates.

167 d from studies that compared the highest ALA quantile with the lowest ALA quantile, and risk estimate

168 with a range of 1.6-6.5 days for 25th 75th quantiles, with a median value of about 2.1 days.

169 with a range of 1.6-6.5 days for 25th ~ 75th quantiles, with a median value of about 2.1 days.