ライフサイエンスコーパス: quantile

1 alizing segmented cell objects by the middle quantile.

2 tients with OHCA in each neighborhood racial quantile.

3 1.07, 5.03) comparing highest versus lowest quantiles.

4 les against the average of the corresponding quantiles.

5 ts were confirmed by parallel analyses using quantiles.

6 er at higher SBP quantiles relative to lower quantiles.

7 median) of all individual models' predictive quantiles.

8 t related to a gap in care afterwards at all quantiles.

9 rthweight and gestational age in the highest quantiles.

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

11 in one country but varied between 0.16 (95% quantile 0.12, 0.21 in females) to -0.27 (95% quantile -

12 igher (more abnormal) measures of AX at 10th quantile (0.77 cmH(2)O L(-1) s; 95% CI: 0.41, 1.13) and

13 mH(2)O L(-1) s; 95% CI: 0.41, 1.13) and 25th quantile (0.80 cmH(2)O L(-1) s; 95% CI: 0.41, 1.20).

14 uantile 0.12, 0.21 in females) to -0.27 (95% quantile -0.4, -0.15 in males) across individual countri

15 antiles (effects on SBP at the 10th and 90th quantiles: -0.33mmHg [95% CI -2.35,1.68]; -3.00mmHg [95%

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

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

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

19 The quantile-activity bootstrap is proposed as a new model v

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

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

22 Additionally, from the lowest to the highest quantile an increasing negative effect on ALT for older

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

24 Quantile analyses showed that most of the changes took p

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

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

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

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

29 Quantile and rank normalizations are two widely used pre

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

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

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

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

34 owest quantiles, remained flat in the middle quantiles, and trended to decrease both birthweight and

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

36 ties of those distributions such as means or quantiles, are most different.

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

38 otomizing cell signal intensity distribution quantiles as predictors of continuous, categorical or su

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

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

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

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

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

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

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

46 For Ki-67, the optimal quantile biomarker was also compared to established biom

47 Across wealth quantile categories, the overall unmet demand (11.4%) fo

48 nsform metrics, absolute energy, consecutive quantile changes, approximate entropy, aggregated linear

49 included 330 variants, for the highest 1% of quantiles compared with middle quantiles were 5.63 and 3

50 and this general pattern holds across income quantiles, data sources, and mobility measures.

51 ther inheritance of leptin concentrations is quantile dependent, and whether this explains the greate

52 mental effects on leptin concentrations were quantile dependent, which likely explains male-female di

53 related to adiposity, whose heritability is quantile dependent.

54 and IRS-1 polymorphisms were consistent with quantile-dependent expressivity of leptin concentrations

55 "Quantile-dependent expressivity" is a dependence of gene

56 "Quantile-dependent expressivity" occurs when the effect

57 Consistent with quantile-dependent expressivity, 11 drug studies report

58 e potentially attributable to triglyceride's quantile-dependent expressivity, including gene-adiposit

59 Consistent with quantile-dependent expressivity, the beta(FS) was greate

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

61 SBP and DBP distributions relative to lower quantiles (effects on SBP at the 10th and 90th quantiles

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

63 sed on the 50th versus 90[Formula: see text] quantile estimates could range from 18 to 40% over the n

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

65 4 immune function genes at or above the 0.40 quantile for the population.

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

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

68 es were 4 months to 6 years, whereas the 95% quantiles for MERS-CoV were inconsistent by dataset.

69 The quantiles for normalization can be either empirical or t

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

71 le Gaussian deviates, and can be replaced by quantiles from a Gaussian with negligible effects on acc

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

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

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

75 (CI) coverage, and bias-variance tradeoff of quantile g-computation and WQS regression and how these

76 We use simulations to examine whether quantile g-computation and WQS regression can accurately

77 for each element were conducted and we used quantile g-computation approach to assess the associatio

78 lding other exposures constant, methods like quantile g-computation that can estimate the effect of a

79 Based on quantile g-computation weights, PFNA contributed the mos

80 Quantile g-computation, unlike WQS regression, allows in

81 re and bioactive lipids were estimated using quantile g-computation.

82 o estimating the joint effects of a mixture: quantile g-computation.

83 m Forest (RFR), Gradient Boosting (GBR), and Quantile Gradient Boosting (QGB) were adjusted to predic

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

85 .11, 2.44) and was associated with the upper quantiles (>/=75th percentile) of BMI at age 20 years.

86 0.22; P < 0.0001); and (3) CNI exposure (per quantile increase, beta = -2.42 +/- 0.59; P < 0.0001).

87 iled instructions could be found in vignette quantile-index-predictor.

88 senic concentrations at higher water arsenic quantiles indicate declines are related to MCL implement

89 with heterogeneous effects across different quantile levels.

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

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

92 First, a quantile loss-based Gradient Boosting Regression Tree (G

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

94 hird sentence of the first paragraph of the 'Quantile mapping' section of the Methods originally inco

95 cond sentence of the first paragraph of the 'Quantile mapping' section of the Methods, which incorrec

96 Quantile median regression analysis was used to compare

97 with clustering by patient, and bootstrapped quantile (median) regression.

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

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

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

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

102 d that unlike other frequently used methods: quantile normalization and DESeq/DESeq2 normalization, S

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

104 sing and normalization, joint factorization, quantile normalization and joint clustering, and visuali

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

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

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

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

109 eq data lacking UMIs, we propose quasi-UMIs: quantile normalization of read counts to a compound Pois

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

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

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

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

114 o (MRN), trimmed mean of m-values (TMM), and quantile normalization, noticeably masked the true biolo

115 immed mean of perfect match intensities with quantile normalization.

116 perfect match and mismatch intensities with quantile normalization.

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

118 s normalization and with speed comparable to quantile normalization.

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

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

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

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

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

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

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

126 and 100 years ranged up to 0.51 (median, 95% quantile of model simulated prevalence using posterior p

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

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

129 Mixed Models by season for each of the five quantiles of bird flight altitude and their differences

130 iations of smoking with obesity in different quantiles of BMI (or WC) by genders.

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

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

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

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

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

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

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

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

139 Partitioning based on quantiles of the activity distribution correctly penaliz

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

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

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

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

144 also had larger protective effects at higher quantiles of the SBP and DBP distributions relative to l

145 United States to estimate altitudes at five quantiles of the vertical distribution of birds migratin

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

147 (87%) and compared differences in means and quantiles of water arsenic (via quantile regression) bet

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

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

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

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

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

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

154 AI measurements were used to create quantile polynomial regression femoral and tibial growth

155 ods were also inversely associated with VAT [quantile (Q)4-Q1: -0.39 dm3; beta: -9.9%; 95% CI: -17.4%

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

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

158 We use both a formal statistical test and a quantile-quantile plot for visualization.

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

160 and maximum distance from the diagonal on a quantile-quantile plot.

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

162 Quantile-quantile plots indicated that the genecentric a

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

164 Quantile-quantile plots showed unequal changes in the BM

165 A quantile-quantile probability plot indicated that the di

166 SCLC patients (46% female; median age [inter quantile range]: 67 [60-73]) treated with definite surgi

167 Classification of grape maturity, defined by quantile ranges for red colour, IBMP, malic acid, and TS

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

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

170 ression (RLR), Cforest, Non-convex penalized quantile regression (NCPQR), Neural network with feature

171 We used quantile regression (QR) models to identify the associat

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

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

174 Quantile regression analysis of the distributional effec

175 Quantile regression analysis showed that, at the 0.1 qua

176 Quantile regression analysis with BMI was used to determ

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

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

179 es (15th, 50th, and 85th) were modeled using quantile regression and compared between youths with and

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

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

182 m 94 to 98% for the test set) as compared to quantile regression and natural gradient boosting algori

183 We used quantile regression and random slope models to investiga

184 We calculated shifts in phenology using quantile regression and shifts in relative abundance usi

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

186 significant eQTL discoveries differ between quantile regression and the conventional linear model.

187 Proportionate percentiles parametric quantile regression assuming lognormal distributions was

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

189 ve traits in the UK Biobank demonstrate that quantile regression can be a helpful complement to linea

190 We reported the quantile regression coefficients that corresponded to ab

191 Quantile Regression controlled for gestational age, post

192 gression slopes (beta(OP)) were estimated by quantile regression for 6227 offspring-parent pairs.

193 DAOH-90 was analyzed by quantile regression for the 10th, 25th, 50th, 75th, and

194 Here, we use a quantile regression forest (QRF) to leverage information

195 Quantile regression forests are more accurate in their p

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

197 Simulation studies show that quantile regression has the desired robustness to outlie

198 Quantile regression illustrated the differential effect

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

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

201 Findings demonstrate the benefit of quantile regression in revealing differential impacts an

202 An averaged quantile regression index was calculated across all regi

203 Quantile regression is a promising method for the analys

204 Quantile regression may be a preferable alternative.

205 In this case quantile regression may be a suitable alternative.

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

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

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

209 A quantile regression model revealed that total airway vol

210 4; 95% CI, 0.61-1.47), with estimates from a quantile regression model showing greater adverse impact

211 Generalized quantile regression modeling was used to estimate the ef

212 Linear and quantile regression models estimated the association bet

213 In quantile regression models estimating SACE the beta-coef

214 We compared OLS and quantile regression models estimating SACE to calculate

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

216 Quantile regression models indicated that birth weight d

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

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

219 data on disease severity and flare patterns, quantile regression models were conducted to investigate

220 the 5xFAD and WT groups were evaluated using quantile regression models.

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

222 All the results suggest that quantile regression provides more reliable and accurate

223 Quantile regression showed modestly smaller MD confidenc

224 s performed, with the employed model being a quantile regression that is bias corrected via bootstrap

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

226 rming ACR and PCR, we used cubic splines and quantile regression to estimate the median ACR from a PC

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

228 -seq) data in conjunction with conformalized quantile regression to produce reliable prediction inter

229 Quantile regression was then used to examine differences

230 Quantile regression was used to analyze percentiles of B

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

232 Quantile regression was used to test median sex differen

233 Binomial and quantile regression were used to investigate the relatio

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

235 regression slopes were robustly estimated by quantile regression with nonparametric significance assi

236 in means and quantiles of water arsenic (via quantile regression) between both 3-y periods for U.S. r

237 = 3 mm] were estimated using robust logistic quantile regression, adjusting for age, sex, ethnicity,

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

239 er treatment initiation by HIV status, using quantile regression, and unsuccessful tuberculosis treat

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

241 ropouts, we propose to apply a robust model, quantile regression, to map eQTLs for genes with high de

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

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

244 icant interactions are then identified using quantile regression.

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

246 diagnostic imaging rate quartiles and with a quantile regression.

247 iations of the two testing methods following quantile regression.

248 Reference values were estimated using quantile regression.

249 mmatory mediators were compared using median quantile regression.

250 otypic data analysis, such as clustering and quantile regression.

251 [2-14]) and controls (7, [3-15], p < 0.001; quantile regression: beta -2.1, 95% confidence interval

252 Chi-squared, McNemar tests, and quantile regressions (simple and multilevel) were used f

253 Conditional and unconditional quantile regressions both suggested a negative associati

254 We fit quantile regressions for longitudinal data to investigat

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

256 Quantile regressions suggested that ceiling effects migh

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

258 We analyze event-level data using quantile regressions to capture patterns in the damage d

259 Associations using linear and unconditional quantile regressions were estimated, including controls

260 bundances were tested using mixed models and quantile regressions.

261 these associations were higher at higher SBP quantiles relative to lower quantiles.

262 irthweight and gestational age at the lowest quantiles, remained flat in the middle quantiles, and tr

263 , 1.1, and 1.3 days at the 0.5, 0.6, and 0.7 quantiles, respectively).

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

265 its every 4.2 (median) years, with the first quantile set as the reference level.

266 was the rise or fall in SBP, with the third quantile set as the reference level.

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

268 Quantile-specific heritability (h(2)), estimated by 2bet

269 Quantile-specific offspring-parent regression slopes (be

270 d 1999-2016) were obtained and corrected for quantile-specific self-reporting bias with the use of me

271 ed as a new model validation framework using quantile splits on the activity distribution function to

272 exposure-mixture methods: bayesian weighted quantile sum (BWQS) and bayesian kernel machine regressi

273 sted linear regression and Bayesian weighted quantile sum (BWQS) mixture models were performed.

274 mixtures, including methods such as weighted quantile sum (WQS) regression that estimate a joint effe

275 We used weighted quantile sum (WQS) regression to examine the association

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

277 ity and PFAS mixture analyses using weighted quantile sum (WQS) regression were also conducted.

278 Employing weighted quantile sum (WQS) regression, we observed significant m

279 A Weighted Quantile Sum Regression (WQS) approach was used to indic

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

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

282 ker correlation was addressed using weighted quantile sum regression analysis.

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

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

285 ations were assessed using bayesian weighted quantile sum regressions applied to mixtures for each ch

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

287 d for each regional lymph node resected used quantile survival random forest methodology.

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

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

290 his secondary analysis of pooled trial data, quantile treatment effect (QTE) analysis was conducted f

291 s with estimated effect sizes in the top 25% quantile, up to 5% of the expression variance could be p

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

293 an ensemble forecast, where each predictive quantile was calculated as the equally-weighted average

294 For SARS-CoV, the 5-95% quantiles were 4 months to 6 years, whereas the 95% quan

295 highest 1% of quantiles compared with middle quantiles were 5.63 and 3.02 for luminal A-like and trip

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

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

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

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

300 We have developed a zero-inflation-adjusted quantile (ZIAQ) algorithm, which is the first method to