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 abetes mellitus, and baseline values of each dependent variable.

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

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

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

6 postoperative morbidity or mortality as the dependent variable.

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

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

9 Skin conductance served as the dependent variable.

10 GIPI was used as response dependent variable.

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

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

13 egression analysis with compliance being the dependent variable.

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

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

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

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

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

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

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

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

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

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

24 round 0.6 if total citations are used as the dependent variable.

25 All-cause hospital mortality was the dependent variable.

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

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

28 ith the longitudinal aphasia severity as the dependent variable.

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

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

31 es suggestive of cognitive impairment as the dependent variable.

32 number of positive inflammatory cells as the dependent variable.

33 ter insult and drug interventions as primary dependent variables.

34 using self-reported unethical behaviours as dependent variables.

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

36 regional cortical gray and white matter were dependent variables.

37 Damage accrual and mortality were the dependent variables.

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

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

40 re procedure guideline and variations in key dependent variables.

41 es statistical control for initial values on dependent variables.

42 ch emphasizes mathematically independent and dependent variables.

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

44 d subspace of both independent variables and dependent variables.

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

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

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

48 These factors plus vigilance were dependent variables.

49 he psychometrics of both the independent and dependent variables.

50 its subsequent rate of habituation served as dependent variables.

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

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

53 th frequency of different constraints as the dependent variables.

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

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

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

57 uestionnaire total and subscale scores) were dependent variables.

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

59 rnative task sequences and variations in key dependent variables.

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

61 odels with the seven treatment parameters as dependent variables.

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

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

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

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

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

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

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

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

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

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

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

73 0.5 for estimates with paper numbers as the dependent variable and around 0.6 if total citations are

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

102 gnificant factor (P = .004) only if the time-dependent variable azathioprine was not included in the

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

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

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

106 A dependent variable classified screening since baseline a

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

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

109 absence of an additional pregnancy as a time-dependent variable confirmed that an additional pregnanc

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

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

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

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

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

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

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

117 Dependent variables evaluated were self-reported assessm

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

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

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

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

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

123 n tests were analyzed as single and multiple dependent variables for pneumothorax and chest tube plac

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

125 bility that a clinical state will occur (the dependent variable); for example, it expresses the proba

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

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

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

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

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

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

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

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

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

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

136 selectively expressed in clonal cells as the dependent variable in QSAR presents a unique opportunity

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

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

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

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

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

142 mary variables of social impact were used as dependent variables in bivariate and multivariate least-

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

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

145 Dependent variables in the models were renal involvement

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

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

148 Dependent variables included age- and gender-specific bo

149 Dependent variables included DBS-induced changes in Unif

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

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

152 Dependent variables included the donor risk index (a con

153 Dependent variables included the presence of stridor, Cr

154 Dependent variables included three measures of child hea

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

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

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

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

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

160 Differences in the vectors of dependent variable means across diagnostic groups were s

161 osttransplant risk factors and included time-dependent variables measured at 3, 6, and 12 months, and

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

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

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

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

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

167 The dependent variables of interest were the amount of nutri

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

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

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

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

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

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

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

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

176 iatric instruments for diagnosis and, as the dependent variables (outcome), used separate assessments

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

193 The dependent variables studied were the occurrence of PPCs,

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

212 2 years, and with MoCA scores at 2 years as dependent variables, using backwards linear regression a

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

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

215 The dependent variable was each patient's last recorded Disa

216 The dependent variable was eating performance as measured by

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

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

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

220 The dependent variable was likelihood of being treated with

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

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

223 The primary dependent variable was pain score as indicated on a hori

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

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

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

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

228 The main dependent variable was the consolation of distressed par

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

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

231 The dependent variable was the product of bidimensional meas

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

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

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

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

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

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

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

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

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

241 Dependent variables were 21 specific adverse outcomes, i

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

243 Dependent variables were brain fMRI signal, the immediat

244 Dependent variables were complications (leaks, bleeding,

245 Dependent variables were documented risk and skin assess

246 Dependent variables were either the log-transformed GM (

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

248 The dependent variables were fasting lipid and lipoprotein c

249 Dependent variables were indicators of professional comm

250 Dependent variables were latencies and number or initial

251 The dependent variables were mortality and alcohol abuse sta

252 The key dependent variables were serum albumin concentration and

253 The targeted dependent variables were the formation of Maillard react

254 The dependent variables were the number of actions ordered i

255 Dependent variables were the quarterly volumes of outpat

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

257 The dependent variables were the temperature, particle size

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

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

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

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

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

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

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

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

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

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

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

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

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

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