ライフサイエンスコーパス: independent variable

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

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

3 entify sequentially the contribution of each independent variable.

4 sion to quantify empirical support for every independent variable.

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

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

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

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

9 regression model, BMI was not a significant independent variable.

10 combined data with barometric pressure as an independent variable.

11 amined here by considering colony size as an independent variable.

12 studies to assess hypothermia's impact as an independent variable.

13 HR), rather than waist circumference, as the independent variable.

14 ght hand varied, with sequence length as the independent variable.

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

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

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

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

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

20 help in design of nanoemulsions with optimum independent variables.

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

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

23 variables with unit QuIRC domain ratings as independent variables.

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

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

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

27 assess associations between chemotherapy and independent variables.

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

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

30 components and the stiffness parameter to be independent variables.

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

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

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

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

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

36 l variables and psychiatric morbidity as the independent variables.

37 , behavioral, and disease characteristics as independent variables.

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

39 oride analogue concentration and time as two independent variables.

40 mpared with all other patients in evaluating independent variables.

41 and diagnostic group and clinic location as independent variables.

42 sed to relate academic rank and salary to 16 independent variables.

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

44 egression analysis was conducted to find the independent variables.

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

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

47 plore the associations between GA growth and independent variables.

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

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

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

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

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

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

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

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

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

57 t variable, dietary fat (g/d) as the primary independent variable adjusted sequentially for total ene

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

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

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

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

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

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

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

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

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

73 Associations between the independent variables and increased adiposity (skinfold

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

75 with six nonredundant collagen parameters as independent variables and various expressions of retinop

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

77 the presence of clinical findings (input or independent variables) and the probability that a clinic

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

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

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

81 tepwise multiple linear regression models as independent variables, and each specific clinical featur

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

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

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

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

86 Independent variables assessed county racial/ethnic comp

87 95% CI, 1.32 to 1.83; P < .01) was the major independent variable associated with an inferior 4-year

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

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

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

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

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

93 Independent variables associated with a histologic outco

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

95 Independent variables associated with depression were me

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

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

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

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

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

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

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

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

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

105 Independent variables associated with type B aortic diss

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

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

108 Independent variables considered were 15 MPM0-II variabl

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

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

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

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

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

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

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

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

117 Adjustment for all independent variables eliminated sex differences in acad

118 Independent variables examined included 68 presurgical a

119 Independent variables examined included 68 putative preo

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

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

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

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

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

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

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

127 The authors divided collected independent variables from the time of injury into tempo

128 Independent variables, grouped according to their positi

129 ospectively validated scoring system using 4 independent variables: hemodynamics, time from bleeding,

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

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

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

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

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

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

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

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

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

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

140 The resulting factors were used as independent variables in a cluster analysis of the patie

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

142 available from the main survey, were used as independent variables in a set of regression models, wit

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

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

145 The FEFF terms are then treated as independent variables in the development of 3D-QSAR mode

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

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

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

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

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

151 Independent variables included 68 presurgical and 12 int

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

153 Primary independent variables included clinical indications for

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

155 Independent variables included maternal demographic char

156 Independent variables included measures of family contex

157 Independent variables included patient (demographic and

158 Independent variables included patient and transplant ch

159 Independent variables included physician demographics, r

160 Independent variables included socioeconomic, demographi

161 Independent variables included treatment group (low or s

162 Independent variables included ultrasound characteristic

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

164 Four independent variables including temperature (20-80 degre

165 Three independent variables including temperature, methanol to

166 , anti-TA90 IgG, and PMCV-DTH as significant independent variables influencing survival following PMC

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

168 The independent variable is designed to give increasing devi

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

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

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

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

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

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

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

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

177 Operation start time was the independent variable of interest.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

196 e imbalance may be expressed in terms of the independent variables: PaCO2 (respiratory) and SBE (meta

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

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

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

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

201 An independent variable predicting decreased hospital LOS f

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

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

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

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

206 Hcy levels (i.e., R2) accounted for by these independent variables (R2=0.416 for creatinine level alo

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 ological status and hemodynamic status to be independent variables related to E-selectin level.

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

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

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

215 Independent variables significantly associated with surv

216 <0.001), and after controlling for all other independent variables, significantly increased the predi

217 Independent variables: sociodemographics, tumor characte

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

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

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

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

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

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

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

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

226 Single independent variables that were statistically and clinic

227 ith multiple regression analysis to identify independent variables that would correlate with hypomagn

228 Similarly, they show, with dichotomous independent variables, that 15% measurement error in the

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

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

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

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

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

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

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

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

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

238 he 706 total subjects; adding age and sex as independent variables to the regression model increased

239 ach sample the relative contributions of the independent variables toward predicting the outcome meas

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

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

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

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

244 The key independent variable was body mass index.

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

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

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

248 The independent variable was RA or SLE.

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

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

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

252 The main independent variable was the percent of periodontal site

253 The independent variable was the proportion of patient encou

254 Our primary independent variable was the racial index of dissimilari

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

256 A set of independent variables was also evaluated, including age,

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

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

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

260 The independent variables were (1) the relative contribution

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

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

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

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

265 Independent variables were age, the respiratory disturba

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

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

268 The independent variables were characteristics of environmen

269 When independent variables were compared between groups, only

270 Independent variables were compared using factorial ANOV

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

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

273 Five independent variables were included in the final model a

274 Independent variables were individual, organizational, a

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

276 pessimistic, and baseline projections of the independent variables were made.

277 Independent variables were organized into 2 separate for

278 Independent variables were patient characteristics, hosp

279 Independent variables were personal control, social supp

280 The independent variables were physical performance measures

281 Our main independent variables were physician specialty and year

282 All the independent variables were significantly associated with

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

284 Independent variables were type and amount of soluble fi

285 The independent variables were viz. concentration of ethanol

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

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

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

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

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