ライフサイエンスコーパス: be estimated by

1 nal tissue total volume of distribution (VT) was estimated by 1- and 2-tissue-compartment modeling (1

2 eal, and cereal were consistent when intakes were estimated by 24-h diet recalls (P < 0.05).

3 the fracture porosity and fracture aperture are estimated by 3-D counting.

4 f the inner vs outer retinal vascular layers was estimated by 3 masked readers and compared with conv

5 These deaths can be estimated by 4 approaches: case-fatality rate, infect

6 calization and extent of prostate cancer may be estimated by (68)Ga-PSMA PET.

7 e learning from noisy labels, where the cost is estimated by a committee of weak classifiers that con

8 Nutrient intake was estimated by a 112-item food-frequency questionnaire

9 Quality of care was estimated by a global defect-free care measure, and

10 VE was estimated by a test-negative design comparing the ad

11 The dietary intake for adults was estimated by a total cereal study.

12 confidence interval of different SUA levels were estimated by a binomial logistic regression model.

13 e analytical standards, their concentrations were estimated by a novel semiquantitation approach.

14 tected PAV contents of the test fish species were estimated by a quantitative SDS-PAGE.

15 -specific [Formula: see text] concentrations were estimated by a validated spatiotemporal model spann

16 downregulated P. trichocarpa transgenics has been estimated by absolute protein and metabolite quanti

17 The costs and effects of the interventions were estimated by adapting existing models and by extend

18 s and annual percent changes (APCs) in rates were estimated by age, sex, race/ethnicity, state, and r

19 Each dataset was estimated by all six models via population PD modeli

20 R2* was estimated by an MRI exam with a 1.5 T clinical magne

21 and cross-frequency directional connectivity were estimated by an adaptive directed transfer function

22 Intraocular pressure was estimated by analyzing videos recorded using a stand

23 position and state, which can otherwise only be estimated by applying deconvolution methods to bulk R

24 y internal biases, such that the prior could be estimated by applying the procedure multiple times.

25 sing linear regression, and sepsis incidence was estimated by applying modelled case-fatality to seps

26 x, location, GBD cause, and year (1990-2017) was estimated by applying modelled cause-specific fracti

27 sidual risk at guideline-recommended targets was estimated by applying relative risk reductions from

28 Half-lives were estimated by assuming one compartment, first-order

29 e basic reproductive number (R0) of clusters were estimated by Bayesian methods.

30 RO(2) was estimated by blood oxygen level-dependent MRI; fat m

31 Average emission rate per site was estimated by bootstrapping and by maximum likelihood

32 ignificance was assessed by using CIs, which were estimated by bootstrapping.

33 s that were potentially subject to selection were estimated by both methods.

34 The overall effect of an injury can then be estimated by calculating graph metrics of network str

35 The search efficiency is estimated by calculating the time required for the MT

36 The effect on RCC risk was estimated by calculating odds ratios (ORSD) for a st

37 Variability in macronutrient intake was estimated by calculating the difference between 75th

38 C (HgbA1C) were measured; insulin resistance was estimated by calculating the homeostatic model asses

39 d collectively, on cardiometabolic mortality were estimated by calculating the population attributabl

40 nce rates (IRs) and 95% confidence intervals were estimated by cancer site, early vs late incidence p

41 The residence times are estimated by combining a kinetic model with well-kno

42 Dietary TAC at age 8 years was estimated by combining information on the child's di

43 Individual-level exposure was estimated by combining information on typical intake

44 Task energetics were estimated by combining the model of muscle contract

45 Their effective CNT volume fractions are estimated by comparing the experimental data with ou

46 The gradient is estimated by comparing a "local" and a "global" molec

47 he association between treatment and outcome was estimated by comparing between treated and untreated

48 ct of a given drug on the entire TDS profile was estimated by comparing compound-modulated genes in t

49 Risk for the disease outcome was estimated by comparing results in HHCs who develop l

50 Loss of AC was estimated by comparing similarities between pre- and

51 l bioavailability (RBA) of the BaP from soil was estimated by comparing the area under the curve (AUC

52 VE was estimated by comparing the vaccination status of tho

53 Pollination deficits were estimated by comparing the fruit set of hand-pollin

54 Standardized morbidity ratios (SMRs) were estimated by comparing the observed rates of cancer

55 Effectiveness was estimated by comparison of the HIV incidence with an

56 Associations with the risk of kidney failure were estimated by competing-risks regression (handling d

57 Net prices were estimated by compiling company-reported sales for e

58 Cs) underlying Ricco's area or crowding zone is estimated by computing the product of Ricco's area (o

59 Vaccine effectiveness (VE) was estimated by conditional logistic regression, with a

60 For declined offers, these probabilities were estimated by considering the experience of similar

61 Effective doses were estimated by conversion from dose-area product for

62 Hazard ratios (HRs) were estimated by country (Cox survival model) and weigh

63 ratios for HHF, death, and their combination were estimated by country and pooled to determine weight

64 National release of PFASs was estimated by coupling measured concentrations for th

65 rtality risk as a function of event duration was estimated by Cox proportional hazards in the Sleep H

66 Relative risk (RR) of psoriasis was estimated by Cox regression.

67 Hazard ratios (HRs) were estimated by Cox proportional hazard model and comp

68 azard ratios of repeat self-harm and suicide were estimated by Cox proportional hazard models.

69 competing risk), and associations with death were estimated by Cox proportional hazards regression.

70 Hazard ratios were estimated by Cox proportional hazards regression.

71 ccination at each year following vaccination were estimated by Cox regression model.

72 , and crude and adjusted hazard ratios (HRs) were estimated by Cox regression models and presented wi

73 adjusted hazard ratios for 1-year mortality were estimated by Cox's proportional hazard regression.

74 Target concentration can be estimated by cycle count to reach a threshold impedan

75 strain energy of these benzazetidine systems was estimated by density functional theory calculations

76 The amount of drug ejected was estimated by detection of a coejected electrochemica

77 (11)C-metoclopramide washout from the brain was estimated by determining the elimination slope (k (E

78 Effect on nodule management was estimated by differentiating CT follow-up for ground

79 Lean mass was estimated by dual X-ray absorptiometry and examined

80 y blood oxygen level-dependent MRI; fat mass was estimated by DXA; GFR and RPF were estimated by iohe

81 ability to river floods around the world can be estimated by dynamic high-resolution modeling of floo

82 Currently, transgene copy number is estimated by either Southern blot hybridization analy

83 f recoverin in phosphatidylserine monolayers was estimated by ellipsometry.

84 placed into multi-locus model, these effects were estimated by empirical Bayes, and all the nonzero e

85 GA concentrations in multiple tissues were estimated by enzyme-linked immunosorbent assay anal

86 Inspiratory effort was estimated by esophageal pressure (Pes) swings.

87 Burden of cases and mortality were estimated by extrapolating surveillance area cases

88 he IF for a single or a collection of images is estimated by first using stochastic modelling where t

89 Typically, these probabilities are estimated by fitting a suitable distribution to the

90 ormation by a summary scaling dimension that is estimated by fitting a line to the plot of log bendin

91 hod, while the parameter [Formula: see text] is estimated by fitting the secondary case data with a n

92 VE(t) was estimated by fitting a smooth function based on resi

93 The fluorescence background was estimated, by fitting a polynomial to each spectrum,

94 p larvicide application and window screening were estimated by fitting generalised linear mixed model

95 Parameters were estimated by fitting the model to experimental data

96 Key transmission and vaccine parameters were estimated by fitting to carriage data from 2001/200

97 y department (ED) visits for dental problems were estimated by fitting trendlines to ED visit pattern

98 The genome size of P. spumarius was estimated by flow cytometry, revealing a 5.3 Gb geno

99 Third Generation Study.Total protein intake was estimated by food-frequency questionnaire in 2002-20

100 Soft drink consumption was estimated by food-frequency questionnaires.

101 Groundwater storage changes were estimated by forcing three global-scale hydrologica

102 Relative risks of ASD were estimated by hazard ratios (HRs) using Cox regressi

103 Associations were estimated by hazard ratios and 95% confidence inter

104 s to the total elements concentrations could be estimated by HILIC - ICP MS.

105 half-thick filament during V0 shortening (n) is estimated by imposing, on tetanized single fibres fro

106 that the perceived dimensions of body parts are estimated by integrating visual and somatosensory in

107 deposited particles on the sensing zone can be estimated by investigating the changes in the thresho

108 ; fat mass was estimated by DXA; GFR and RPF were estimated by iohexol and p-aminohippurate clearance

109 The nomogram performance was estimated by its calibration ability in the primary

110 Survival of the fellow eye was estimated by Kaplan-Meier analysis, and log-rank tes

111 in patients identified as MET-high and -low was estimated by Kaplan-Meier method and compared using

112 Survival was estimated by Kaplan-Meier method and log-rank test.

113 Time to first vivax recurrence was estimated by Kaplan-Meier survival analysis, and ris

114 d risk factors for incident HR-HPV detection were estimated by Kaplan-Meier and Cox proportional haza

115 the individual ion channels and transporters were estimated by least-squares fitting of the model pre

116 The change in refraction over time was estimated by linear mixed model analysis.

117 Annual trends were estimated by linear or piecewise Poisson regression

118 ariance explained by the GRSs in adolescents were estimated by linear regression after adjustment for

119 Cumulative silica exposure was estimated by linking a job exposure matrix with each

120 The intervention effect was estimated by logistic regression, controlled for sur

121 nd GL and offspring congenital heart defects was estimated by logistic regression.

122 FGF19 with chronic cholestasis and survival were estimated by logistic and Cox regression models.

123 and asthma in atopic and non-atopic children were estimated by logistic regression analysis adjusting

124 usted odds ratios and adjusted hazard ratios were estimated by logistic regression and Cox regression

125 (AORs) and 95% confidence intervals for APOs were estimated by logistic regression models.

126 of strain-specific titers on susceptibility were estimated by logistic regression.

127 They can be estimated by low-resolution models such as the elasti

128 g is recognition specificity, which best can be estimated by mapping an antibody's epitope on the res

129 95% CI 52-80) meningococcal group B isolates were estimated by MATS to be covered by 4CMenB, compared

130 Cardiorespiratory fitness was estimated by maximal metabolic equivalents (METs) ca

131 First, the copy number is estimated by maximum likelihood and association of th

132 ogenetic relationships among viral sequences were estimated by maximum likelihood.

133 ary outcome was in-hospital mortality, which was estimated by means of a logistic-regression model af

134 posure during pregnancy for each participant was estimated by means of land-use regression models.

135 le sclerosis according to immigration status was estimated by means of multiple sclerosis incidence r

136 ceiving oral antidiabetic-drug combinations, were estimated by means of conditional logistic regressi

137 ) with 95% CIs for progression-free survival were estimated by means of Cox regression models.

138 Odds ratios and 95% confidence intervals were estimated by means of logistic regression for expos

139 n allergic sensitization, asthma, and eczema were estimated by means of logistic regression, and a ma

140 infection, with adjustment for confounders, were estimated by means of logistic regression.

141 a small organ, and, second, tumor growth can be estimated by measuring serum prostate-specific antige

142 ts indicate that the Bragg peak position can be estimated by measuring the acoustic wave amplitudes f

143 Spatial spread can be estimated by measuring the receptive field (RF) and m

144 Liver fibrosis was estimated by measuring liver stiffness using transie

145 of proliferating cells, and BM blood volume was estimated by measuring the changes in the T2 relaxat

146 modynamic potential for O2 reduction to H2O2 was estimated by measuring the H(+)/H2 open-circuit pote

147 The permeability of the TiO2 layer was estimated by measuring the oxidation of ferrocenemet

148 Iron and zinc availability were estimated by measuring dialyzable mineral fraction

149 ces and overlap were examined, the incidence was estimated by merging data from the registers, and th

150 A common threshold was estimated by minimization of chi-square distance tak

151 rnover of EMM bio- and necromass and total C were estimated by modelling.

152 bsorbed doses in the tumor and normal organs were estimated by Monte Carlo N-Particle version 5.0 mod

153 Cause-specific excess deaths were estimated by month and age.

154 Residual transfusion transmission risk was estimated by multiplying incidence by the length of

155 Medical costs were estimated by multiplying every registered healthcar

156 l mortality among body mass index categories was estimated by multivariable modified Poisson regressi

157 Hazard ratios (HRs) were estimated by multivariable Cox regression models.

158 Adjusted odds ratios were estimated by multivariable logistic regression mode

159 bonation efforts where drawdown rates cannot be estimated by other means.

160 species in oil sands process-affected water were estimated by partitioning to polydimethylsiloxane (

161 First, the provider preference IV value is estimated by performing a complete-case analysis usin

162 ickness of this thin electrolyte layer (dTL) was estimated by performing a scanning electrochemical m

163 proposed and their statistical significance is estimated by permutation procedures.

164 Tfp expression was estimated by pilA promoter activity, pilA gene expre

165 Systemic circulatory dysfunction (SCD) was estimated by plasma renin (PRC) and copeptin (PCC) c

166 usted for age, sex, and socioeconomic status were estimated by Poisson regression distribution models

167 detectable HIV shedding (VL > 40 copies/mL) were estimated by Poisson regression models with general

168 The relative risks of outcomes were estimated by Poisson regression models.

169 , alcohol abuse, medication, and comorbidity were estimated by Poisson regression models.

170 r no return to premorbid neurologic function were estimated by Poisson regression with robust error v

171 Relative risks of no return to baseline were estimated by Poisson regression with robust error v

172 Incidence rate ratios (IRRs) were estimated by Poisson regression.

173 Mortality rate ratios were estimated by Poisson regression.

174 The distribution of iAs in drinking water was estimated by population, weighting the iAs concentra

175 Healthy brain aging was estimated by predicting chronological age (18-75 yea

176 95% CIs were estimated by propagating uncertainty from the RR me

177 The timing of past transposition can be estimated by quantifying the accumulation of mutation

178 ffspring-parent regression slopes (beta(OP)) were estimated by quantile regression for 6227 offspring

179 Relative gene expression levels were estimated by quantitative reverse transcription-pol

180 Five-year relative survival rates were estimated by race and ethnicity, histologic subtype

181 and sex-standardized incidence ratios (SIRs) were estimated by race.

182 ated with 95% CIs, and case-case odds ratios were estimated by race/ethnicity using polytomous regres

183 doses and mean left ventricular doses (MLVD) were estimated by reconstruction of individual treatment

184 Associations were estimated by regression coefficients using linear a

185 Growth of N. norvegicus was estimated by releasing 1177 tagged individuals in we

186 Gestational age was estimated by repeated ultrasound scans.

187 ead circumference and body length and weight were estimated by repeated ultrasounds, and preterm birt

188 ICD heritability was estimated by restricted maximum likelihood analysis

189 nification effects, the true scanning radius was estimated by scanning focus.

190 Fecundity was estimated by seed production (over 15 y) and also di

191 es in a buffer solution, MT trajectory could be estimated by selecting labeling molecules with known

192 nce of the mental health disorder categories was estimated by sex for adults with CP alone, adults wi

193 used for TBF quantification and that TBF can be estimated by simple SUV and suggests that (82)Rb SUV

194 e involved in diabetes complications and can be estimated by skin autofluorescence (sAF).

195 tes of air pollution levels at the residence were estimated by standardized land-use regression model

196 ance imaging, and microvascular permeability was estimated by strain gauge plethysmography.

197 TLBF and hepatic arterial flow were estimated by subtracting infrahepatic from suprahep

198 Rates for women without STI were estimated by subtracting women with STI from report

199 Probabilities of reaching the end points were estimated by survival analyses.

200 tcomes and FEV1 in percent predicted (FEV1%) were estimated by survival and linear regression models,

201 Risk differences were estimated by targeted maximum likelihood estimation

202 boratory-confirmed influenza A(H3N2) illness was estimated by test-negative design during 3 A(H3N2) e

203 quantification cycle (Cq) values when these are estimated by the widely applied fixed threshold appr

204 ogically sensible parameter (alpha) that can be estimated by the available follow-up data, in particu

205 constants up to 1000 times larger than would be estimated by the Bronsted relationship for similar ac

206 ment uncertainty of qualitative measures may be estimated by the probability of taking right or wrong

207 emonstrate that volatility of control demand is estimated by the anterior insula, which in turn optim

208 The variance is estimated by the Bayesian shrinkage approach to fully

209 e media, where the equivalent radius (r (d)) is estimated by the limiting current of hydroxide oxidat

210 The area under each Kaplan-Meier curve was estimated by the 36-month restricted mean time.

211 The accuracy was estimated by the analysis of two certified reference

212 RRP was estimated by the back-extrapolation of cumulative EP

213 Chili pepper intake was estimated by the EPIC (European Prospective Investig

214 Fractional iron absorption was estimated by the erythrocyte iron incorporation meth

215 Survival was estimated by the Kaplan-Meier method, and the relati

216 NC performance was estimated by the Montreal Cognitive Assessment.

217 -source optical coherence tomography and IOP was estimated by the new-generation tonometer Corvis ST.

218 HCV prevalence was estimated by the presence of anti-HCV antibodies inc

219 Visual field variability was estimated by the SD of the residuals of ordinary lea

220 from baseline after 4-16 weeks of treatment was estimated by the standardized mean difference (SMD)

221 Insulin sensitivity was estimated by the validated insulin sensitivity index

222 Childhood DAP concentrations were estimated by the area under curve (AUC).

223 ree survival (DFS) and overall survival (OS) were estimated by the Kaplan-Meier method, and the assoc

224 timated from Cox models, and survival curves were estimated by the Kaplan-Meier method.

225 Survival outcomes were estimated by the Kaplan-Meier method.

226 PFS/DFS and OS were estimated by the Kaplan-Meier method.

227 stic radiation, and the lava fountain height was estimated by thermal camera image processing.

228 PDB on subsequent 2-year all-cause mortality was estimated by time-adjusted Cox proportional hazards

229 ons of cancers with mortality and graft loss were estimated by time-varying Cox regression.

230 total phenolic and total flavonoid contents were estimated by TPC and the TFC assays.

231 Blood velocity in the small vessels was estimated by tracking microbubbles, demonstrating th

232 nce and standardized incidence ratios (SIRs) were estimated by treatment: chemotherapy-only (n = 7,44

233 Organ and lifetime radiation doses were estimated by two radiologists and five radiation sc

234 led odds ratios and 95% confidence intervals were estimated by unconditional logistic regression adju

235 The algorithm parameters are estimated by unsupervised training which makes unnec

236 and p-aminohippurate clearance; albuminuria was estimated by urine albumin-to-creatinine ratio (UACR

237 nt-free survival and 5-year overall survival were estimated by use of Kaplan-Meier methods, and the 5

238 expands the range of relationships that can be estimated by using genetic data in pedigrees.

239 Vh can be estimated by using Vmax in aggressive tumors or in tu

240 rtest Hamiltonian path, and the change-point is estimated by using ratio cut.

241 , the strength of intraspecific interactions is estimated by using simple measures of population size

242 Hepatic PDFF was estimated by using a confounder-corrected chemical s

243 MS was estimated by using a handle dynamometer on 1,950 chi

244 The total phenol content was estimated by using a laccase based biosensor.

245 ts' early life and at current home addresses was estimated by using a land-use regression model.

246 of gender differences in full professorship was estimated by using a multilevel logistic regression

247 The effect of HIV on survival was estimated by using an inverse probability weighted m

248 individuals without NRF2 pathway alterations was estimated by using competing risk analysis (Gray tes

249 Life expectancy was estimated by using Cox proportional hazards regressi

250 and doxorubicin (per 100-mg/m(2) increments) was estimated by using Cox regression adjusted for sex,

251 Overall survival was estimated by using Kaplan-Meier survival and univari

252 Access patency was estimated by using Kaplan-Meier survival method, ass

253 of 2004-2009, the relative risk (RR) of ASD was estimated by using logistic regression and splines.

254 k by study-specific fifths of each biomarker was estimated by using multivariable-adjusted conditiona

255 Effectiveness was estimated by using multivariate Poisson regression m

256 10-year ASCVD risk was estimated by using the 2013 ACC/AHA ASCVD risk calcu

257 Diagnostic performance was estimated by using the area under the receiver opera

258 al from time of diagnosis or transplantation was estimated by using the Kaplan-Meier method compared

259 The cost of additional imaging was estimated by using the Medicare physician fee schedu

260 Emphysema was estimated by using the MR imaging apparent diffusion

261 Disease-specific survival was estimated by using the redistribution-to-right metho

262 Infant gastrointestinal microbes were estimated by using 16S amplicon and whole-genome se

263 and Hounsfield unit accuracy of the systems were estimated by using a CT phantom.

264 Summary RRs were estimated by using a random-effects model.

265 igh muscle were segmented, and their volumes were estimated by using a semiautomated method and, as a

266 in B-12 from fortified foods and supplements were estimated by using brand information for participan

267 ds ratios and 95% confidence intervals (CIs) were estimated by using conditional logistic regression

268 HRs were estimated by using Cox proportional hazard models.

269 Hazard ratios (HRs) and 95% CIs were estimated by using Cox proportional hazards regress

270 als for all cancer and 15 individual cancers were estimated by using Cox proportional hazards regress

271 diabetes, physical activity, and medications were estimated by using Cox regression.

272 t = XOriginal and 2) YNIST-Ghent = XCurrent -were estimated by using Deming regression, and the 2 mod

273 fferences and 95% confidence intervals (CIs) were estimated by using DerSimonian-Laird random-effects

274 HRs were estimated by using frailty survival models, both ov

275 loping LR and regional lymph node recurrence were estimated by using Kaplan-Meier statistics.

276 r CHEK2*1100delC carriers versus noncarriers were estimated by using logistic regression and adjusted

277 nce group) versus a false-positive screening were estimated by using logistic regression models adjus

278 ative risks and tumor subtype specific risks were estimated by using logistic regression, and absolut

279 Dietary costs were estimated by using national food prices from a Unit

280 l and recurrence-free survival probabilities were estimated by using nonparametric maximum likelihood

281 mined parameters in the new Kirchhoff matrix were estimated by using particle swarm optimization.

282 y trends before and during reporting periods were estimated by using patient-level hierarchical model

283 lanchnic, thoracoabdominal, and neck vessels were estimated by using phase-contrast MR imaging in hea

284 rect cost and risk of HAI with premedication were estimated by using published data.

285 The extent and severity of angiographic CAD were estimated by using the CAD prognostic index, and CF

286 ar test, and 95% CIs for performance metrics were estimated by using the Clopper-Pearson method (accu

287 Hazard ratios (HRs) with 95% CIs were estimated by using the Cox proportional hazards mod

288 ) quartiles of vitamin and carotenoid intake were estimated by using the Cox proportional hazards mod

289 Relative risks of GBCA types were estimated by using the Mantel-Haenszel type method.

290 Model inputs were estimated by using the results of contemporary publ

291 s; body mass index range, 19.3-43.9 kg/m(2)) were estimated by using the semiautomated method.

292 er-patient annual direct medical (ADM) costs were estimated by using unit costs from 2 national files

293 ntrations (O3, PM2.5, NOx, and black carbon) were estimated by validated spatiotemporal models incorp

294 at the coalescent temperature (248 K), which was estimated by variable-temperature NMR measurements.

295 tic correlation across psychiatric disorders were estimated by variance decomposition analysis.

296 erebral metastases in neuroendocrine tumours is estimated by various authors to be approximately 1.5-

297 Hand position can be estimated by vision and proprioception (position sens

298 d calibration was used and analytical curves were estimated by weighted least squares regression (WLS

299 of each DBP class to the cumulative toxicity was estimated by weighting each species by metrics of to

300 ort approximating the full run-in population was estimated by weighting randomized patients according