ライフサイエンスコーパス: dependent variable

1 n of pooled risk ratios from study baseline (dependent variable).

2 amous intraepithelial lesion (A-HSIL) as the dependent variable.

3 gression with self-reported adherence as the dependent variable.

4 ith the longitudinal aphasia severity as the dependent variable.

5 l using time to symptomatic treatment as the dependent variable.

6 permeability could be studied as a pressure-dependent variable.

7 es suggestive of cognitive impairment as the dependent variable.

8 on model, with >=20-point improvement as the dependent variable.

9 number of positive inflammatory cells as the dependent variable.

10 abetes mellitus, and baseline values of each dependent variable.

11 tration of a bound or free ligand species as dependent variable.

12 Soy food intake was treated as a time-dependent variable.

13 del was developed with 30-day mortality as a dependent variable.

14 postoperative morbidity or mortality as the dependent variable.

15 to extract an encounter distance, d, as the dependent variable.

16 Skin conductance served as the dependent variable.

17 GIPI was used as response dependent variable.

18 s the effect of an independent variable on a dependent variable.

19 tion facility versus directly to home as the dependent variable.

20 egression analysis with compliance being the dependent variable.

21 between 25% and 75% of vital capacity as the dependent variable.

22 Wallis test, after taking into account a dye-dependent variable.

23 ss survivor bias, EVS was included as a time-dependent variable.

24 were done with every primary outcome as the dependent variable.

25 ble and outcome at hospital discharge as the dependent variable.

26 ession analysis, with CEJ-AC distance as the dependent variable.

27 riables; liver histology score was assumed a dependent variable.

28 factor, and the continuous phenotype is the dependent variable.

29 on using a positive or negative slope as the dependent variable.

30 varied according to which was considered the dependent variable.

31 florbetapir (defined as a SUVR >1.2) was the dependent variable.

32 level, and number of colonoscopies as a time-dependent variable.

33 ependent variable and GlycA or ln hsCRP as a dependent variable.

34 a linear calibration curve with time as the dependent variable.

35 All-cause hospital mortality was the dependent variable.

36 l linear models with the age at onset as the dependent variable.

37 ) with antithrombotic therapy and AF as time-dependent variables.

38 categorized into thirds and analyzed as time-dependent variables.

39 ter insult and drug interventions as primary dependent variables.

40 using self-reported unethical behaviours as dependent variables.

41 ons of both onset and duration of CR as time-dependent variables.

42 serve the errors in both the independent and dependent variables.

43 regional cortical gray and white matter were dependent variables.

44 Damage accrual and mortality were the dependent variables.

45 ussis (DTP3); and poliomyelitis (polio3)--as dependent variables.

46 sion models that included covariates as time-dependent variables.

47 es statistical control for initial values on dependent variables.

48 ch emphasizes mathematically independent and dependent variables.

49 es (RTs) and response accuracy were the main dependent variables.

50 d subspace of both independent variables and dependent variables.

51 vival, baseline clinical variables, and time-dependent variables.

52 ality rate, and under-five mortality rate as dependent variables.

53 entrations (GI(50)) for 60 cell lines as the dependent variables.

54 These factors plus vigilance were dependent variables.

55 bles and inconsistent selections of linearly dependent variables.

56 he psychometrics of both the independent and dependent variables.

57 its subsequent rate of habituation served as dependent variables.

58 e activity at disease onset, were entered as dependent variables.

59 etween P1 and P2 and P2 and P3 served as the dependent variables.

60 ted data with highly correlated and linearly dependent variables.

61 CMV infection and any CMV infection as time-dependent variables.

62 CMV infection and any CMV infection as time-dependent variables.

63 rnative task sequences and variations in key dependent variables.

64 odels with the seven treatment parameters as dependent variables.

65 re procedure guideline and variations in key dependent variables.

66 and fewer QTL were from MPH than from other dependent variables.

67 the 6-month changes in bREC and iREC as the dependent variables.

68 and Cox models extended to accommodate time-dependent variables.

69 uestionnaire total and subscale scores) were dependent variables.

70 esults (alpha <= 0.05) for three of the four dependent variables: (1) IDH1, (2) MGMT, and (3) microva

71 Of SMART models for continuous dependent variables, 100 of 143 (70%) were validated at

72 tivariate modeling techniques including time-dependent variables; (5) how multiple testing is address

73 This method uses as the dependent variable a linear combination of squared sums

74 ltiple linear regression analysis using CAL (dependent variable), adjusted by menopause, education, a

75 th the methylation status of each CpG as the dependent variable, adjusting for age, sex, study site,

76 can better address the multitude of context-dependent variables affecting mental health.

77 es at each test location were plotted as the dependent variable against follow-up time as the indepen

78 c regression with parental CHD status as the dependent variable, age entered as a covariate, and othe

79 When analyzed as a time-dependent variable, an interim CV event was associated w

80 D and DM across studies was examined using 2 dependent variables: an exposure level-specific proporti

81 ar mixed models with breastfeeding as a time-dependent variable and adjustment for study site, matern

82 le regression models used AVF success as the dependent variable and age, sex, and duplex US or ferumo

83 egression analysis, in which exposure is the dependent variable and both the outcome and the confound

84 dental care in the preceding 6 months as the dependent variable and demographic, social, behavioral,

85 performed, with contributing factors as the dependent variable and diagnostic group and clinic locat

86 Multivariate analysis, with survival as the dependent variable and era (hospitalist vs. resident) as

87 ntrolling for dopamine agonist use as a time-dependent variable and for other potential confounders.

88 esterol content of each DGUC fraction as the dependent variable and IAF and S(I) as independent varia

89 of odds ratios (ORs), considering MGD as the dependent variable and including sex, age, BMI, triglyce

90 associations between some nutrients and the dependent variable and leading to instability of the par

91 n using the slope of 1/Cr versus time as the dependent variable and logistic regression using a posit

92 s were performed, with high-risk plaque as a dependent variable and NAFLD, traditional risk factors,

93 med with 'presence of DR' as the dichotomous dependent variable and other independent covariates.

94 ltivariable regression analysis with IBTR as dependent variable and RT, TILs, subtype, age, and grade

95 Linear mixed modeling using DeltaBPND as the dependent variable and striatal region of interest as a

96 ere basal or plasma-induced adhesion was the dependent variable and the independent variables include

97 ial reports and survey-based coverage as the dependent variable and the presence of GAVI ISS as the i

98 tested with visual field mean deviation as a dependent variable and time (alone and with interaction

99 was performed using fatality as the binomial dependent variable and treatment in a US-MTF or UK-MTF,

100 e hinge point, with the MacDQoL score as the dependent variable and VA as the independent variable.

101 iance (MANOVA) was performed with APE as the dependent variable and with four within-subject factors

102 ultiple regression analysis with MPOD as the dependent variable and with log(e) serum lutein and log(

103 ar 25 LVM or relative wall thickness was the dependent variable and with year 5 echo values, age, sex

104 dressed by analyzing all medications as time-dependent variables and accounting for hospitalized time

105 body composition and bone mineral status as dependent variables and age and frame size as independen

106 visceration and primary open-globe repair as dependent variables and casualty nationality, location,

107 saccadic velocity and smooth pursuit gain as dependent variables and comparing Pro385/Ser385 heterozy

108 med with CSF biomarkers (log transformed) as dependent variables and magnetic resonance imaging measu

109 BF and waist circumference-WC) or HOMA-IR as dependent variables and the degree of PBMC L1 methylatio

110 etermine the association between BDNF level (dependent variable) and attempted suicide (key exposure

111 h age-standardized CHD mortality rate as the dependent variable, and population characteristics (inde

112 TBR or CT calcification at follow-up as the dependent variable, and treatment and baseline TBR or CT

113 predicted vs. observed values for continuous dependent variables, and by establishing the receiver op

114 n was performed with dicarbonyls and AGEs as dependent variables, and dietary GI or GL as main indepe

115 nt), little progress on regression where the dependent variable are microbiome taxa counts has been m

116 reating antibiotic exposure as fixed or time-dependent variables are illustrated and discussed.

117 lgorithm, we concatenate the independent and dependent variables as a combined vector, and encode the

118 no significant effect of host species on any dependent variable, association between offspring qualit

119 g where DBS most significantly affected each dependent variable based on outcomes of participants wit

120 ELF was evaluated as a time dependent variable by generating time-dependent Cox mode

121 egression models with procedure count as the dependent variable, calendar quarter as the key independ

122 ted autophosphorylation, autophosphorylation-dependent variable calmodulin affinity, or Ca(2+)/calmod

123 A dependent variable classified screening since baseline a

124 gression model with IQ at age 6 years as the dependent variable, comparing children who breastfed wit

125 ssion) analyses conducted separately for the dependent variables, complexity and anisotropy, showed t

126 The dependent variables consisted of a Box and Block score t

127 d using treatment success as the dichotomous dependent variable controlling for independent manometri

128 ere entered into logistic regression models (dependent variable: conversion to AD within 4 years).

129 ultivariate analysis using time to CR as the dependent variable demonstrated acute rejection to be th

130 unt of palatal alveolar bone resorption as a dependent variable demonstrated that the SNB, mandibular

131 ty, using odour identification scores as the dependent variable, demonstrated a significant regressor

132 r-regression models included SI(rank) as the dependent variable, dietary fat (g/d) as the primary ind

133 We find that dependent variables (DVs) from self-report surveys of se

134 A Cox regression analysis, with time-dependent variables evaluated during follow-up, was appl

135 lysis with time to transplant failure as the dependent variable, FEPR and PCR were independent predic

136 Receipt of CPM was the primary dependent variable for analysis and was measured by a wo

137 emphasize the effectiveness of the N400 as a dependent variable for examining almost every aspect of

138 y magnetic resonance imaging to quantify SM (dependent variable for multiple regressions) and anthrop

139 professionalism scores (% well done) as the dependent variable for the 2 resident cohorts (2007 vs 2

140 s, after multivariate adjustment, using time-dependent variables for the study factor.

141 As a time-dependent variable, graft loss had an AHR of 2.54 (95% c

142 oing this in classical statistics, where the dependent variable has certain properties (e.g., a scala

143 usted for aortic valve replacement as a time-dependent variable (hazard ratio: 1.31 per each increase

144 Cox proportional hazards analysis using time-dependent variables, higher concurrent positive end-expi

145 ed (independent variable, left vs right DVT; dependent variable, iliac vein compression).

146 Unexplained chronic fatigue was used as the dependent variable in a logistic regression analysis, wi

147 imensional, but can be conceptualized as the dependent variable in a multi-dimensional morphospace.

148 or each sample, and log(T/S) was used as the dependent variable in analyses.

149 at each time point, and this was used as the dependent variable in each hierarchical multiple regress

150 measured at years 7, 10, 15, and 20) was the dependent variable in gender-specific adjusted multiple

151 disease progression and could be useful as a dependent variable in observational or interventional tr

152 e magnetic resonance imaging, was set as the dependent variable in prediction models.

153 henotype difference (SQD) has been used as a dependent variable in the Haseman-Elston (H-E) regressio

154 selectively expressed in clonal cells as the dependent variable in three-dimensional quantitative str

155 using multimodal neuroimaging and behavioral dependent variables in 73 human cocaine-addicted individ

156 ients with multiple sclerosis can be used as dependent variables in a genome-wide association study.

157 d as zero-, moderate-, or high-incidence) as dependent variables in a multinomial logistic regression

158 istered nurse turnover rates were modeled as dependent variables in hierarchical Poisson regression m

159 cipal-component analysis scores were used as dependent variables in statistical analyses that include

160 Dependent variables in the models were renal involvement

161 We also analyzed measured PFOA (dependent variable) in relation to the number of years s

162 When used as a time-dependent variable, incident MI was associated with an i

163 Dependent variables included age- and gender-specific bo

164 Dependent variables included DBS-induced changes in Unif

165 ization and 6 months after the intervention, dependent variables included depressive symptoms, positi

166 The two binary dependent variables included ESA use and hospitalized VT

167 Dependent variables included the donor risk index (a con

168 Dependent variables included three measures of child hea

169 vitreous cavity depth, and axial length, and dependent variables, including angle opening distance, w

170 e of observation were used to construct time-dependent variables, including cumulative exposures (in

171 etween gene expression and either a measured dependent variable, independent variable, or expression

172 On a test dataset, the dependent variable is initialized to its average value a

173 hen they detect the onset of a stimulus; the dependent variable is RT.

174 Our dependent variable is state-level Scope of Practice poli

175 the combined vector is obtained in which the dependent variable is typically shifted closer to its tr

176 erlying relation between the independent and dependent variables is approximately known.

177 regression coefficients fitted using a proxy dependent variable, martingale residuals, instead of fol

178 A model with substrate dependent variable maturity-velocity qualitatively is si

179 ent a priori experimental design and primary dependent variables, may overcome this intransigence and

180 tatus preceded baseline assessment or if the dependent variable measurement is unreliable or unstable

181 ther absence, including studies using lagged dependent variable models, growth curve models, individu

182 were included in regression analyses as the dependent variables; observed intake, intervention condi

183 related the steric component of CoMFA to the dependent variable of [(3)H]WIN 35,428 binding affinitie

184 h percentage overestimation of volume as the dependent variable of interest.

185 The dependent variables of interest were the amount of nutri

186 IC indicator variables was performed on the dependent variables of LOS and total costs.

187 r observed relationships between each of the dependent variables of skew, changes in reproductive par

188 ependent variable) and chemical composition (dependent variable) of 24 sweet sorghum cultivars.

189 ematic situations of correlated and linearly dependent variables often exist in genomic datasets and

190 currence was included in the model as a time-dependent variable, older age, T2 disease, high tumor gr

191 Analyzed as time-dependent variables on MVA analysis, both disease progre

192 iconazole and other azoles, analyzed as time-dependent variables, on the risk of developing biopsy-co

193 Regressing an outcome or dependent variable onto a set of input or independent va

194 not differ by circumcision status as a time-dependent variable or a fixed variable based on assignme

195 tasis to the axillary nodes is simply a time-dependent variable or also a marker for a more aggressiv

196 I design, to perform association mapping for dependent variables: original trait value, general combi

197 gression analysis revealed that BOP and CAL (dependent variable) (P = 0.009/R(2) = 0.05 and P = 0.005

198 Model for analyzing 21 independent and three dependent variables: paranoid ideation, psychotic sympto

199 As a time dependent variable, PCP was associated with an increased

200 We assessed associations with the dependent variables persecutory ideation, auditory and v

201 at predicted clinically important continuous dependent variables quantitatively, in individual patien

202 were estimated at the unit level between the dependent variable (rate of very low birth weight infant

203 ealth researchers frequently include several dependent variables, repeated assessments, or subgroup a

204 r potential fitness (absent webworms) as the dependent variable revealed that reassociation with a co

205 (HCT) in first complete remission as a time-dependent variable revealed treatment with midostaurin,

206 linear regression equation between TSD (the dependent variable), RGB intensity of cystine concentrat

207 data, which show evidence of changes in the dependent variable(s), i.e. the components of the system

208 Linear regression analysis (dependent variable: sedative dose) was used to analyze t

209 ion) as independent variables and DVA as the dependent variable showed that in every case PFQ(b) exhi

210 ple regression analysis with the OHSI as the dependent variable showed that the statistically signifi

211 thy, nephropathy, and neuropathy outcomes as dependent variables showed that the complications were s

212 either microvesicles or PS positivity as the dependent variable, showed a strong relationship only wi

213 l regression, with POMS fatigue score as the dependent variable (step 1, forced entry of apnea severi

214 The dependent variables studied were the occurrence of PPCs,

215 al outcomes depending on context- and person-dependent variables such as early-life adversity.

216 e are no historically observed values of the dependent variable, such as net present social value, on

217 sponse is likely to be influenced by context-dependent variables, such as expression of bcl-2.

218 t approach bicarbonate and hydrogen ions are dependent variables that represent the effects rather th

219 discriminant analysis was applied taking as dependent variables the fatty acids, triglycerides and s

220 der, race, serum lipids, and baseline of the dependent variable, the mean carotenoid values at year 7

221 e natural logarithm of disk thickness as the dependent variable, the natural logarithm of disk diamet

222 odel with change in ejection fraction as the dependent variable, the presented classification was the

223 hat in settings with correlated and linearly dependent variables, the Precision Lasso outperforms pop

224 Among the time-dependent variables, the presence of sinus rhythm (SR) w

225 With HIF-1alpha analyzed as a dependent variable, there were no survival differences i

226 implemented a linear model with DeltaBPND as dependent variable, time after amphetamine as repeated m

227 with hormonal therapy (on vs off) as a time-dependent variable to derive the hazard ratio (HR) for t

228 s and error rate on emotional empathy as the dependent variable to test a predictive model of emotion

229 ional hazards regression with fixed and time-dependent variables to adjust for patient differences an

230 Multiple regression was used with the dependent variables to develop a model to predict the TS

231 luated the cross-sectional relations of LTL (dependent variable) to circulating renin and aldosterone

232 mean-mean common or the mean-max CIMT as the dependent variable, univariable analysis showed signific

233 roups were compared for anatomical outcomes (dependent variables) using nonparametric- or, in case of

234 2 years, and with MoCA scores at 2 years as dependent variables, using backwards linear regression a

235 istic regression analyses of medication use (dependent variable) vs. metabolic equivalent hours per d

236 lograft loss and death and smoking as a time-dependent variable was assessed with Cox nonproportional

237 The dependent variable was eating performance as measured by

238 s between complexity and anisotropy when the dependent variable was either complexity ( P = 0.0003) o

239 al referral region (HRR)-level analysis, our dependent variable was HRR-level imaging rate among pati

240 The dependent variable was joint space narrowing (JSN) on th

241 The dependent variable was likelihood of being treated with

242 dertook Cox regression analysis in which the dependent variable was mortality until 30 days after sur

243 ate analysis with potassium excretion as the dependent variable was performed.

244 elation coefficients of at least 0.4 and the dependent variable was perianal fistulizing disease acti

245 The dependent variable was Stroke/TIA, and the exposure was

246 ter adjustment for age and sex, HF as a time-dependent variable was strongly associated with mortalit

247 The dependent variable was the adolescent's self-reported fr

248 The main dependent variable was the consolation of distressed par

249 The dependent variable was the occurrence of a past-year epi

250 The dependent variable was the presence of N2 or N3 disease

251 The dependent variable was the product of bidimensional meas

252 The dependent variable was the use of dental services, based

253 ion with a logarithmic transformation of the dependent variable was used to assess the relationship o

254 hazard model with transplantation as a time dependent variable was used to evaluate the effect of tr

255 ortional hazards survival analysis with time-dependent variables was applied to the lifetime data.

256 The independent effect of CAL on those three dependent variables was assessed by weighted multiple lo

257 onse relations, and Cox regression with time-dependent variables was used to estimate hazard ratios.

258 he probability of severe periodontitis (main dependent variable) was assessed by calculating the modi

259 assessment (PGA) of disease activity was the dependent variable, we computed weights for all predefin

260 Regression slopes for each dependent variable were obtained for each study and incl

261 se domain regressions with SLAM score as the dependent variable were performed.

262 surgical and 12 intraoperative risk factors; dependent variables were 21 adverse outcomes including d

263 Dependent variables were 21 specific adverse outcomes, i

264 and 12 intraoperative clinical risk factors; dependent variables were 21 specific adverse outcomes.

265 Dependent variables were brain fMRI signal, the immediat

266 Secondary dependent variables were CD8+ and CD4+ T-cells expressin

267 The two primary dependent variables were CD8+ and CD4+ T-cells expressin

268 Dependent variables were complications (leaks, bleeding,

269 Dependent variables were documented risk and skin assess

270 Dependent variables were either the log-transformed GM (

271 Three separate dependent variables were employed: 1) tumor (non-specifi

272 The dependent variables were fasting lipid and lipoprotein c

273 Dependent variables were indicators of professional comm

274 The dependent variables were inspiratory lung density at 15t

275 Dependent variables were latencies and number or initial

276 The dependent variables were placement error, number of focu

277 The dependent variables were self-reported injurious and non

278 The key dependent variables were serum albumin concentration and

279 The targeted dependent variables were the formation of Maillard react

280 The dependent variables were the number of actions ordered i

281 Dependent variables were the quarterly volumes of outpat

282 was examined in regression models where the dependent variables were the SLAM score and SLAM global

283 The dependent variables were the temperature, particle size

284 nalyses using male sex and damage accrual as dependent variables were then performed.

285 nset lupus, damage accrual, and mortality as dependent variables were then performed.

286 le Cox proportional hazards models with time-dependent variables were used to evaluate whether mortal

287 tform for Images of the Retina parameters as dependent variables were used.

288 T models for both continuous and dichotomous dependent variables were validated at clinically useful

289 ces (independent variables) and food intake (dependent variable) were coded from the videotaped obser

290 regression analysis (with log BNP being the dependent variable) were older age (beta regression coef

291 at sites with attachment loss<or=2 mm as the dependent variable, were derived with adjustment for pla

292 The most recent CV or HEX values, as time-dependent variables, were not associated with graft fail

293 e latter 3 of 5 years of a grant), using two dependent variables: whether a grant had any phase-2 dis

294 e "vaccine protection efficacy" was set as a dependent variable while the other eighteen were set as

295 Trastuzumab exposure was a time-dependent variable, while cumulative courses of chemothe

296 s included separate mixed-effects models per dependent variable with repeated observations over time.

297 sion models were used, with liver enzymes as dependent variables with abdominal height and BMI as ind

298 associations between service user ratings as dependent variables with unit QuIRC domain ratings as in

299 We show that similarities between dependent variables, with the possible exception of resp

300 The dependent variable, yearly numbers of migrants, was quan