ライフサイエンスコーパス: independent variable

1 e regressions) and anthropometric variables (independent variables).

2 in the microarray gene expression profiles (independent variables).

3 on analysis with year of resuscitation as an independent variable.

4 conducted introducing monotherapy type as an independent variable.

5 ndent variable against follow-up time as the independent variable.

6 entify sequentially the contribution of each independent variable.

7 sion to quantify empirical support for every independent variable.

8 of variance, with sex included as a nominal independent variable.

9 ch ranged from 1972 to 1996, was the primary independent variable.

10 and which are used to eliminate alpha as an independent variable.

11 l, with binocular 10-2 VF sensitivity as the independent variable.

12 ed from linear mixed models with time as the independent variable.

13 core as the dependent variable and VA as the independent variable.

14 history; obstetric conditions) were used as independent variables.

15 cess, temperature and time were evaluated as independent variables.

16 s, and extent of coronary atherosclerosis as independent variables.

17 plore the associations between GA growth and independent variables.

18 and cubic BSA terms and a sex main effect as independent variables.

19 and delta Cl (DeltaCl = Cl72 - Cl0) were the independent variables.

20 etween 1991 and 2011 with time as one of the independent variables.

21 ariable while the other eighteen were set as independent variables.

22 ANCOVA was conducted with sex and APOE as independent variables.

23 both the outcome and the confounders are the independent variables.

24 alcohol use, and physical activity score as independent variables.

25 variables with unit QuIRC domain ratings as independent variables.

26 and the presence of an ophthalmic surgeon as independent variables.

27 re one or more linear dependencies among the independent variables.

28 n-3 PUFAs (EPA and DHA) in serum (S-PUFA) as independent variables.

29 ial length, IOP history, and mouse strain as independent variables.

30 y and surgery performed by a neurosurgeon as independent variables.

31 assess associations between chemotherapy and independent variables.

32 hus, stimulus duration and response time are independent variables.

33 directly; rather they are controlled by the independent variables.

34 components and the stiffness parameter to be independent variables.

35 rvention condition, and age were included as independent variables.

36 and biased estimates of the influence of the independent variables.

37 IFN-alpha production or B cell activation as independent variables.

38 ependent variables and age and frame size as independent variables.

39 study design, and study size were treated as independent variables.

40 ations were developed based on BMI and other independent variables.

41 l variables and psychiatric morbidity as the independent variables.

42 , behavioral, and disease characteristics as independent variables.

43 model in which all HLA alleles and age were independent variables.

44 umoxytol-enhanced MR angiography findings as independent variables.

45 incubation temperature (X(3)) were taken as independent variables.

46 ment and baseline TBR or CT calcification as independent variables.

47 d time (alone and with interaction terms) as independent variables.

48 t velocity and dual-task gait costs were the independent variables.

49 ations but with DOC, pH, and hardness as the independent variables.

50 help in design of nanoemulsions with optimum independent variables.

51 and age-specific HPV vaccination coverage as independent variables.

52 nd drying time (8-16 h) were investigated as independent variables.

53 egression analysis was conducted to find the independent variables.

54 ationships between type of pain response and independent variables; (3) compare pain responses to tho

55 was used to investigate the effects of three independent variables, acetone concentration (40-80%), t

56 ween risk of progression to dementia and the independent variables, adjusted for age, sex, education,

57 serum lutein and log(e) serum zeaxanthin as independent variables adjusting for age, sex, iris color

58 PSS appears to be an independent variable affecting ASGP-R activity.

59 The relation between REE and the independent variables (age, sex, ethnic group, fat mass,

60 dent variables, and dietary GI or GL as main independent variables (all standardized).

61 or dependent variable onto a set of input or independent variables allows the analyst to measure asso

62 were used, with 24-h sodium excretion as an independent variable and GlycA or ln hsCRP as a dependen

63 s to the data by using the risk score as the independent variable and outcome at hospital discharge a

64 on (ODE) with total titrant concentration as independent variable and the concentration of a bound or

65 during the first 3 postoperative days as an independent variable and used a minimum P value approach

66 Depression (yes/no) was the main independent variable and was determined by presence of a

67 Logistic regression, with HRP2 level as an independent variable and World Health Organization-defin

68 with measures of patient-related risk as the independent variables and 30-day postoperative morbidity

69 tion of relationships between these multiple independent variables and a singular response variable,

70 ray data from the augmented subspace of both independent variables and dependent variables.

71 e, classic CNV, occult CNV, total lesion) as independent variables and DVA as the dependent variable

72 c model demonstrated a good relation between independent variables and elongation at break respective

73 8 white matter tracts, age, and education as independent variables and error rate on emotional empath

74 Associations between the independent variables and increased adiposity (skinfold

75 hese are problematic when there are numerous independent variables and interpretation is often diffic

76 was performed to assess association between independent variables and the unmet need for presbyopia

77 ation of pectinase (0.01-0.05% v/w) were the independent variables and viscosity, clarity, alcohol in

78 leaf damage from biweekly field monitoring (independent variable) and chemical composition (dependen

79 d resident positive and negative utterances (independent variables) and food intake (dependent variab

80 n consumption of sugar-sweetened drinks (the independent variables), and difference in measures of ob

81 endent variable, calendar quarter as the key independent variable, and the size of the population as

82 ta are reported and analyzed using sex as an independent variable, and to identify specialties in whi

83 yses using various hematologic parameters as independent variables, and either microvesicles or PS po

84 using census tract-level characteristics, as independent variables, and heat hospitalizations (with c

85 t variables with abdominal height and BMI as independent variables, and the inclusion of several cova

86 n power requirement varies greatly among the independent variables, and the practical and theoretical

87 ts of food type and video duration with each independent variable as well as two-way interaction effe

88 Independent variables assessed county racial/ethnic comp

89 The independent variables, assessed at study entry, comprise

90 95% CI, 1.32 to 1.83; P < .01) was the major independent variable associated with an inferior 4-year

91 The number of years of training was the only independent variable associated with increased risk of C

92 nce of cortical superficial siderosis was an independent variable associated with larger ICH volume i

93 nce of cortical superficial siderosis was an independent variable associated with larger lobar ICH vo

94 oxygenation postoxygenator PO2 was the only independent variable associated with major complications

95 a baseline bleeding precaution was the only independent variable associated with occurrence of serio

96 randomized trials, we examined DeltaP as an independent variable associated with survival.

97 Independent variables associated with a histologic outco

98 gression analyses were performed to identify independent variables associated with access type.

99 Independent variables associated with depression were me

100 ivity level, and longer dialysis duration as independent variables associated with depression.

101 06) and alcohol consumption (P = 0.002) were independent variables associated with development of HCC

102 nuation and internal heterogeneity were both independent variables associated with final diagnosis, b

103 ential confounding variables and to identify independent variables associated with Hct and EPO dose.

104 Independent variables associated with incarceration incl

105 d the presence of bloodstream infection were independent variables associated with mortality.

106 gression analysis was performed to determine independent variables associated with mortality.

107 R, 0.79; 95% CI, 0.65 to 0.97; P = .03) were independent variables associated with nonrelapse mortali

108 Independent variables associated with outcomes were dete

109 l-length or LMW derivatives of cyclin E1 are independent variables associated with poor outcome in pa

110 ological, and pharmaceutical-and to identify independent variables associated with treatment effectiv

111 Independent variables associated with type B aortic diss

112 pe and percent NaCl in external phase as two independent variables at three different levels; the lev

113 f quality of end-of-life care, with the main independent variable being whether the patient was being

114 Independent variables considered were 15 MPM0-II variabl

115 d immune cell infiltration was a significant independent variable contributing to longer survival, as

116 variable and the presence of GAVI ISS as the independent variable, controlling for country and time e

117 l cortex is characterized by two genetically independent variables, cortical thickness and cortical s

118 e sepsis and septic shock, and whether these independent variables could be integrated into prospecti

119 ween symptoms and signs with a wide range of independent variables (demographic and environmental var

120 sity burden and nigrostriatal denervation as independent variables demonstrated a significant overall

121 LR and two ANN architectures, organizing the independent variables differently.

122 We propose to model the effects of an independent variable, e.g., exposure/biological status (

123 Independent variables examined included 68 putative preo

124 Eyes were classified into groups using independent variables (first classification based upon l

125 owed the presence of p53 antibodies to be an independent variable for prediction of overall survival

126 , although gestational age was a significant independent variable for several practices, including de

127 analysis confirmed that this integrin is an independent variable for these tumors.

128 rum 25-hydroxyvitamin D concentration as the independent variable for vitamin D effects (instead of o

129 In bivariate analysis, Gal-3 and ST2 were independent variables for all endpoints.

130 io of 1.022 and 95% CI of (1.002-1.043) were independent variables for bone marrow involvement.

131 p = 0.025 and p = 0.022, respectively) to be independent variables for prediction of LNM.

132 ed with survival, but only Ki67 and p53 were independent variables for prognostication.

133 The optimum levels of independent variables for the preparation of nanoemulsio

134 h cancer costs were modelled using different independent variables: gross domestic product (GDP) per

135 A Box-Behnken experimental design with independent variables: HPMC quantity (2-4 g/100 g), SBF

136 we were able to treat age and birth year as independent variables (i.e., after adjustment for age, w

137 regression between annual N export and three independent variables: (i) annual average discharge in t

138 Multivariable analysis using eGFRcreat as an independent variable identified age, smoking status, bod

139 prognostic PS which included the DRS as the independent variable in a PS model, and 3) the PS for ea

140 ion, implicating cell-wall flexibility as an independent variable in cryptococcal melanin assembly.

141 This genetic risk score was used as the independent variable in multivariable regression models

142 Aggregate health worker density was an independent variable in one set of regressions; doctor a

143 density of human resources for health was an independent variable in one set of regressions; doctor a

144 Cancer stage III, the presence of LOH as an independent variable in preoperative plasma was signific

145 role of changes in electrical coupling as an independent variable in the complex setting of acute isc

146 smoking prevalence was the only significant independent variable in the low socioeconomic country gr

147 Using the seven factor scores as independent variables in a discriminant function analysi

148 higher mortality rates also were included as independent variables in both analyses to adjust for sev

149 is the lattice parameters modulated by dual independent variables in composition of these ternary so

150 ixed continuous monitoring site were used as independent variables in the PM2.5 and BC models.

151 nd extraction time have been investigated as independent variables in two level factorial design.

152 rone ratio (all logarithmically transformed; independent variables) in 1203 Framingham Study particip

153 rtality until 30 days after surgery, and the independent variables included 24 preoperative variables

154 Independent variables included 68 presurgical and 12 int

155 In regression models, independent variables included asthma status, household

156 Primary independent variables included clinical indications for

157 adhesion was the dependent variable and the independent variables included F cells and the various a

158 Independent variables included maternal demographic char

159 Independent variables included patient (demographic and

160 Independent variables included physician demographics, r

161 Independent variables included socioeconomic, demographi

162 Independent variables included treatment characteristics

163 Independent variables included ultrasound characteristic

164 ll factorial design (FFD) consisting of four independent variables including extraction temperature (

165 Four independent variables including temperature (20-80 degre

166 Three independent variables including temperature, methanol to

167 Independent variables, including anterior chamber depth

168 and distinct IP but does not appear to be an independent variable influencing outcome in adult AML pa

169 ore and ADI-R social score) were included as independent variables into the functional connectivity a

170 The independent variable is designed to give increasing devi

171 tion of the dependency between dependent and independent variables is either unknown or very complex.

172 ituations often arise in which the matrix of independent variables is not of full column rank.

173 Logistic regression analysis was performed (independent variable, left vs right DVT; dependent varia

174 derlying nephropathy, and alcohol abuse were independent variables; liver histology score was assumed

175 ffects of ethnicity, in the context of other independent variables, logistic regression was performed

176 ve risks for each factor adjusting for other independent variables, maternal age, and education.

177 ple additive scale composed of 9 dichotomous independent variables multiplied the odds ratio for PIP

178 ants discharged on "any human milk") and the independent variables (nurse work environment, nurse sta

179 Operation start time was the independent variable of interest.

180 The following were identified as independent variables of poor prognosis (death/ transpla

181 ediating variable transmits the effect of an independent variable on a dependent variable.

182 simultaneously exploring the effects of all independent variables on a dichotomous outcome recurrenc

183 iables and there were significant effects of independent variables on all responses.

184 ression models, we examined the effect of 12 independent variables on each outcome: sex, ethnicity, a

185 simultaneously examined the effects of five independent variables on moral distress and moral voice:

186 neral linear model assessed the influence of independent variables on number of authors per article,

187 ariate GLM exploring the main effects of the independent variables on physical and mental HRQoL was p

188 ical regression exploring the effects of the independent variables on social participation and Cox re

189 on models were used to examine the effect of independent variables on survival to hospital discharge.

190 to analyze the influence of follow-up time (independent variable) on deviation of pooled risk ratios

191 model (GLM) used geographic and demographic independent variables only (the population and area of o

192 Of the other independent variables, only placental weight and gestati

193 on and either a measured dependent variable, independent variable, or expression of another gene.

194 Differences among patient subgroups for all independent variables other than age and for length of s

195 and gain in BMI were examined as continuous independent variables overall and after stratification i

196 ltered >/= 40 as the single most significant independent variable (P < .0001).

197 tegorical analysis, PSA-N 100 or more was an independent variable (P = .021) with a relative risk of

198 sented classification was the most important independent variable (p = 0.0003).

199 The updated WHD model has four independent variables: percent of patients dying in the

200 tive dose) was used to analyze the following independent variables: PH, age, gender, daily sedative i

201 agenicity that include log(k(az)/k(s)) as an independent variable predict log m for PhIP with good ac

202 Regression models with ENV and TFS coding as independent variables predicted speech identification an

203 P < .001), and Gleason score (P = .007) were independent variables predicting for DM after establishe

204 The only independent variable predictive of a longer time to firs

205 ariate analysis demonstrated that additional independent variables provide smaller contributions to t

206 lar junction, and interstitial parameters as independent variables provided greater GFR (92%; P < 0.0

207 linear regressions were performed to assess independent variables (race, retransplant, sex, donor ty

208 ith experimental (13)C shifts via a multiple independent variable regression analysis provides an eff

209 direct statistical comparisons for sex as an independent variable remain rare.

210 rate are dissociable, and can represent two independent variables: respectively the animal's locatio

211 s the dependent variable and IAF and S(I) as independent variables revealed that the cholesterol conc

212 ble and RT, TILs, subtype, age, and grade as independent variables, RT (hazard ratio [HR], 0.42; 95%

213 irst, a Plackett-Burman 20 was applied in 16 independent variables selected in literature.

214 rated Staging System (UISS) category against independent variables shown to have impact on survival.

215 sotropy, showed the following effects of the independent variables: significant interactions between

216 Independent variables significantly associated with surv

217 <0.001), and after controlling for all other independent variables, significantly increased the predi

218 Independent variables: sociodemographics, tumor characte

219 ulp using response surface methodology using independent variables:solvent/meal ratio (4:1-12:1v/w),

220 rcial green tea (CGT) with the employment of independent variables such as low molecular weight carbo

221 Multiple multilevel models showed various independent variables such as nursing management at the

222 s used to describe the relations of REE with independent variables such as sex, weight, height, fat-f

223 Some independent variables, such as age, tooth type, and GRD

224 hree experiments studied the effects of four independent variables: target speed, target size, manipu

225 Syrah grape pomace, including the following independent variables: temperature, pH, pectinase, cellu

226 We did multivariate regression with 18 independent variables that affect crude mortality rates

227 LT-beta and BLC/CXCL13 were found to be independent variables that could, in part, compensate fo

228 to characterize trajectories of time-varying independent variables that had at least 3 time points.

229 Single independent variables that were statistically and clinic

230 As an independent variable, the SO(2) before PDT demonstrated

231 tent of periodontitis was used as one of the independent variables, the parsimonious model showed a s

232 As independent variables, the SO(2) after PDT, the pre-PDT

233 e found to correlate quantitatively with two independent variables: the highest-occupied molecular or

234 In plasma there are three independent variables: the partial pressure of carbon di

235 sion analysis was performed, introducing, as independent variables, those that reached a significance

236 The independent variables time (t), solvent concentration (S

237 ate analysis, the presence of B2A-CIC was an independent variable to experience any type of posttrans

238 , sex of patient, decade, and endoscopist as independent variables to adjust for inter-observer varia

239 assess relative and unique contributions by independent variables to angle width.

240 ptom onset and clinical outcome were used as independent variables to compare EBOV viral kinetics in

241 nd steam blanching duration were selected as independent variables to optimise steam blanching proces

242 e used to relate cumulative SSB consumption (independent variable) to blood concentrations of ceramid

243 Here, we use a simulation box size as an independent variable, to demonstrate how crucial it is t

244 y (RSM) was used to determine the effects of independent variables (ultrasonic homogenization time, o

245 s conducted to estimate the effects of three independent variables: ultrasonic time (UT, 5-15 min), w

246 ection of the aortic neck was found to be an independent variable, uncorrelated to other geometrical

247 r/d) of running, walking and other exercise (independent variables) using cross-sectional data from t

248 e location of imaging along the torso as the independent variable, using random intercepts to account

249 Three independent variables viz., total soluble solids (TSS, 2

250 The key independent variable was body mass index.

251 Our independent variable was HRR-level imaging rate among pa

252 The primary independent variable was out-of-pocket cost for a 30-day

253 The main independent variable was per-head gross domestic product

254 Our primary independent variable was physician gender; outcomes incl

255 The independent variable was RA or SLE.

256 The primary independent variable was race/ethnicity (white, African

257 The independent variable was receipt of >/=80% of 9 HIV qual

258 ities of daily living function, and the main independent variable was the facility type in which the

259 Our primary independent variable was the racial index of dissimilari

260 mmHg on >/=2 consecutive visits and the main independent variable was total number of injections.

261 ociation between the reasons for failure and independent variables was established by a Pearson Chi-s

262 obtained using the optimized combination of independent variables was found to contain 3215.59 mg/10

263 A discrete set of independent variables was selected by logistic regressio

264 nsity of cystine concentration till 24h (the independent variable) was found to be TSD=26.69+-0.05*x.

265 ble and era (hospitalist vs. resident) as an independent variable, was used to compare odds of surviv

266 Combining the 2 independent variables, we found that 37 out of 60 (62%)

267 ial obtained using optimized combinations of independent variable were found to be 365.26 umol Trolox

268 The independent variables were (1) the relative contribution

269 The optimum values of independent variables were 135MPa homogenization pressur

270 es of lycopene with selected combinations of independent variables were 8.20-59.17mg/100g on fresh we

271 The primary independent variables were a comorbidity index (sum of 1

272 ce of depressive symptoms at time 4; primary independent variables were activity decline between time

273 Independent variables were age, sex, treatment unit, rea

274 Independent variables were age, the respiratory disturba

275 trongest determinants among ASOCT and A-scan independent variables were anterior chamber volume (ACV,

276 Independent variables were case number, age, gender, bod

277 The independent variables were characteristics of environmen

278 Independent variables were compared using factorial ANOV

279 Only hospital-independent variables were considered for the analysis.

280 ociation between these outcome variables and independent variables were determined using multivariate

281 Five independent variables were included in the final model a

282 Independent variables were individual, organizational, a

283 near regression analysis, in which potential independent variables were items having intraclass corre

284 The dependent and independent variables were lagged by 2 years to allow fo

285 Independent variables were organized into 2 separate for

286 Independent variables were patient characteristics, hosp

287 Independent variables were personal control, social supp

288 The independent variables were physical performance measures

289 Our main independent variables were physician specialty and year

290 All the independent variables were significantly associated with

291 ell as two-way interaction effects among the independent variables were tested.

292 Independent variables were the 10-item ACEs questions co

293 The main independent variables were the number of daily sleep hou

294 The independent variables were viz. concentration of ethanol

295 genase (LDH) was identified as an additional independent variable, which improved risk assessment bey

296 were used to assess the association of each independent variable with each outcome.

297 analyses determined the association of each independent variable with POI.

298 regression analysis, the association of each independent variable with the outcome variables, a univa

299 It has been found that age and Hb levels are independent variables with respect to erythropoietin res

300 sment as the outcome and GBA genotype as the independent variable, with adjustment for levodopa equiv