ライフサイエンスコーパス: univariate analyses

1 oximally, and occur in older individuals (in univariate analyses).

2 h increased mortality and LOS, especially in univariate analyses.

3 after adjusting for variables significant in univariate analyses.

4 and consistent association with pneumonia in univariate analyses.

5 ated with the use of nonstandard regimens in univariate analyses.

6 ic survival and progression-free survival in univariate analyses.

7 t visual acuity were associated with PPWS in univariate analyses.

8 coefficients, respectively (P < 0.0001), in univariate analyses.

9 with any of the other prognostic factors in univariate analyses.

10 ipoprotein (LDL) and total cholesterol using univariate analyses.

11 an increased risk of malaria parasitaemia in univariate analyses.

12 survival (OS) (p = 0.0380 and p = 0.0230) in univariate analyses.

13 mes were associated with higher mortality in univariate analyses.

14 which we investigated further with standard univariate analyses.

15 tatistically interpreted by multivariate and univariate analyses.

16 ce in neurodevelopmental outcome measures in univariate analyses.

17 MRI, these findings rely on voxel-based mass-univariate analyses.

18 ize (13020) from the same line and performed univariate analyses.

19 MRI signs associated with IIH as assessed by univariate analyses.

20 ith at least a doubling of mortality rate in univariate analyses.

21 cimens could be more powerful than the usual univariate analyses.

22 between PTH and all 3 outcomes were found in univariate analyses.

23 were analyzed using linear mixed models and univariate analyses.

24 king patterns hard to discern using standard univariate analyses.

25 udies of multiepisode patients were found in univariate analyses.

26 ated statistical tests cover a wide array of univariate analyses.

27 onary disease or congestive heart failure in univariate analyses.

28 nts with RA and controls were analyzed using univariate analyses.

29 ly associated with waiting list mortality in univariate analyses.

30 , IL1R1, and FCGR2A genes were identified in univariate analyses.

31 In univariate analyses, 17 PRS were associated with increas

32 In univariate analyses, 4 indices of HRV were significantly

33 In univariate analyses, a higher base-line percentage of ly

34 In univariate analyses, a low value for the recovery of hea

35 In univariate analyses, a lower BMI correlated with oral sy

36 of mortality in the IPF derivation cohort in univariate analyses adjusted for age and sex at false di

37 l and progesterone each related to autism in univariate analyses after correction with false discover

38 In univariate analyses, age of </=5 years and treatment </=

39 In univariate analyses, age-adjusted forced expiratory flow

40 In univariate analyses, all three immune subsets had signif

41 In univariate analyses, all-cause admission rates accounted

42 In univariate analyses, an increased PCA ratio predicted CV

43 tics with test positivity was evaluated with univariate analyses and a bayesian multilevel logistic r

44 ued statin use (30.2% vs. 30.8%, p = .85) in univariate analyses and after adjusting for patient char

45 Univariate analyses and analysis of covariance were used

46 sus monotherapy on mortality was examined by univariate analyses and by logistic regression models.

47 While univariate analyses and classifier importance maps in Ki

48 NC and non-LATE-NC donors were assessed with univariate analyses and correlations were assessed with

49 We performed univariate analyses and Cox regression analyses includin

50 Univariate analyses and generalized linear regression mo

51 Using the MBSAQIP data registry, univariate analyses and hierarchical logistical regressi

52 ses with OR 18.2 (2.54-13) (p < 0.005) in univariate analyses and liver metastases with OR 6.79 (1

53 Univariate analyses and machine learning techniques were

54 Univariate analyses and multiple linear regression were

55 fied in these children and young adults, and univariate analyses and multivariable regression were us

56 patients with and without a recent MI using univariate analyses and multivariate logistic regression

57 Univariate analyses and multivariate logistic regression

58 Univariate analyses and multivariate logistic regression

59 (IRR, 1.58; 95% CI, 1.37-1.82; P < .001) in univariate analyses and only partially attenuated when a

60 Multivariate and univariate analyses and Spearman rank correlation test w

61 s were used to compare the 2 groups by using univariate analyses and to identify the most relevant fe

62 n an age-comparative fMRI study, we combined univariate analyses and whole-brain searchlight pattern

63 o 1 year was studied using the logrank test (univariate analyses) and Cox multiple regression analysi

64 A base case microsimulation, univariate analyses, and a probabilistic sensitivity ana

65 d MACE (HR = 3.19 [2.75-3.70], p < 0.001) in univariate analyses, and also after multivariate adjustm

66 ative genetic model-fitting was used for the univariate analyses, and bivariate quantitative genetic

67 ndhand smoke were linked to higher stress in univariate analyses, and higher body weight showed a sli

68 Descriptive statistics, univariate analyses, and multivariable analyses were use

69 ficult bag-mask ventilation were found using univariate analyses, and multivariable logistic regressi

70 Clinical features were first examined in univariate analyses, and then a stepwise modeling approa

71 In univariate analyses, antidepressant efficacy (ie, drug v

72 In univariate analyses, antioxidant use was significantly a

73 In univariate analyses, APOBEC3A and APOBEC3C expression te

74 Furthermore, traditional univariate analyses applied to the same data were insens

75 Univariate analyses assessed mortality, antibiotic durat

76 In univariate analyses at month 6, reduction of KIT D816V E

77 In univariate analyses, axial length, spherical equivalent,

78 In univariate analyses, baseline light-to-moderate alcohol

79 ignificant negative association was found in univariate analyses between eGFR at 9 mo and AD to the k

80 On the basis of univariate analyses between subject clinical characteris

81 In univariate analyses, both past and current PI exposure s

82 oL was a significant predictor of outcome in univariate analyses but was not retained in the multivar

83 h outside the United States or Canada in the univariate analyses but was not significantly associated

84 A predicted type-specific HPV concordance in univariate analyses, but in multivariable models the ind

85 d moderate or severe aortic regurgitation in univariate analyses, but no independent predictor was id

86 d with the likelihood of diagnosis of PCP in univariate analyses, but only the number of patients wit

87 Compared with controls in univariate analyses, cases with GERD had more sinusitis

88 Univariate analyses (chi(2) test; 2-tailed, unpaired t t

89 In univariate analyses, children cared for at an high utili

90 In univariate analyses, CMV seropositivity was associated w

91 Univariate analyses comparing patients with and without

92 Univariate analyses confirmed that bilateral hippocampus

93 ll associated with higher (ie, worse) HMS in univariate analyses; CVD and ARCD persisted in multivari

94 l associated with higher (i.e. worse) HMS in univariate analyses; CVD and ARCD persisted in multivari

95 In the univariate analyses, day care attendance at 12 months wa

96 In univariate analyses, death was predicted by both abnorma

97 higher odds of death (95% CI, 2.56-3.77) in univariate analyses, decreasing to a 1.81-fold increased

98 In univariate analyses, delayed GE was associated with grea

99 Univariate analyses demonstrated an improvement in TTP w

100 RESULTS Univariate analyses demonstrated no age group difference

101 Univariate analyses demonstrated that PET/CT-derived cha

102 Multivariate/univariate analyses demonstrated that spatial patterns o

103 Univariate analyses determined that females had a 40% hi

104 In univariate analyses, diabetic nephropathy class was not

105 Variables from univariate analyses differing at P < .20 were entered in

106 Initial univariate analyses examined duration effects on electro

107 Univariate analyses facilitated the selection of approxi

108 In the univariate analyses, factors associated with HEV seropos

109 In univariate analyses, factors such as baseline PSA, any P

110 By univariate analyses, FEV1 < or = 30% predicted (HR, 3.8;

111 A series of univariate analyses for all factors was calculated to te

112 Factors significantly associated with PAD in univariate analyses for both men and women included age,

113 Univariate analyses for each factor were obtained using

114 In univariate analyses for HR-positive tumors signatures, S

115 In univariate analyses for overall survival from the time o

116 Univariate analyses found significantly lower levels of

117 Univariate analyses found suicidality unrelated to age o

118 In univariate analyses, FVC, forced expired volume in 0.4 s

119 In univariate analyses, GFR (P < 0.0001), serum creatinine

120 In univariate analyses, GVHD prophylaxis other than tacroli

121 In univariate analyses, GVHD prophylaxis with CSA and high

122 was associated with a higher risk of death (univariate analyses: hazard ratio [HR] for PT SUV(max),

123 In univariate analyses, hepcidin, ferritin, C-reactive prot

124 In univariate analyses, HHV-8 was associated with black rac

125 In univariate analyses, high baseline levels of CRP, TC, an

126 T2DM was a significant predictor of MACE in univariate analyses (HR = 2.43 [1.88-3.14], p < 0.001) a

127 > or=5 mg/liter) predicted death from CVD in univariate analyses: HR 3.9 (95% confidence interval [95

128 x), 1.32, P = 0.004) and disease recurrence (univariate analyses: HR for PT SUV(max), 1.16, P = 0.004

129 In univariate analyses, hypodensities were associated with

130 On univariate analyses, hyponatremia was associated with su

131 Univariate analyses identified 37 PREOP and 53 POD2 meta

132 Univariate Analyses identified the avidity of SARS-CoV-2

133 In univariate analyses, in HER-2/neu-positive patients, the

134 Notable significant differences in univariate analyses included cumulative mechanical suppo

135 Risk factors for POAF identified in univariate analyses included older recipient age, histor

136 actors related to future suicide attempts in univariate analyses included younger age, being separate

137 Univariate analyses including patient-specific, hospital

138 In univariate analyses, increased postoperative complicatio

139 In univariate analyses, increased total and trimeric TNF-al

140 Univariate analyses indicated certain diseases, exotic b

141 Univariate analyses indicated that all classification te

142 Follow-up univariate analyses indicated that all primary outcomes

143 Univariate analyses indicated that avoidant, borderline,

144 Univariate analyses indicated that demographic, medical,

145 Univariate analyses indicated that recent (crude odds ra

146 Univariate analyses indicated that tumor diameter < 3 cm

147 , AFNI, FSL, SPM) focus on preprocessing and univariate analyses, leaving a gap in how to integrate w

148 In univariate analyses, levels of high-sensitivity C-reacti

149 In univariate analyses, loss of regular isopachs (hazard ra

150 In univariate analyses, lower BMI and oxidized LDL, and hig

151 In univariate analyses, lower BMI and oxidized LDL, and hig

152 In univariate analyses, lutein was related to recall and ve

153 In univariate analyses, moderately strong associations were

154 In univariate analyses, monitoring was associated with redu

155 Using covariates from both univariate analyses, multivariable logistic regression d

156 sociated with DeltaPEFsal-DeltaPEFmon in the univariate analyses, multivariate analysis showed that P

157 e data for the parameters significant on the univariate analyses (n = 341) were included in a multiva

158 data (n = 10), selecting variables based on univariate analyses (n = 9), overfitting (n = 13), and l

159 In univariate analyses, nonmalignant chronic disease was as

160 creased odds of respiratory exacerbations in univariate analyses (odds ratio 1.73, 95% CI 1.19 to 2.5

161 Univariate analyses of clinical variables were performed

162 Univariate analyses of clinicopathologic and treatment f

163 Univariate analyses of EEG data time-locked to the atten

164 In univariate analyses of factors mediating bone destructio

165 Univariate analyses of factors possibly related to exten

166 Univariate analyses of kidneys with less than or equal t

167 Univariate analyses of overall survival (OS) were conduc

168 and improved QALE with PR did not change in univariate analyses of patient age, the Global Initiativ

169 Univariate analyses of patients with EGFR mutations in c

170 Univariate analyses of texture features showed that code

171 Multivariate and univariate analyses of the metabolome data revealed a lo

172 But by using univariate analyses of the proteins most highly associat

173 tic associations that were not identified by univariate analyses of the same data.

174 Multivariate and univariate analyses of the spectral data identified abun

175 The univariate analyses of those selected properties indicat

176 Multivariate and univariate analyses of tumor-infiltrating gammadelta T c

177 Univariate analyses of variance (ANOVAs) revealed a sign

178 tivariate analysis of variance and follow-up univariate analyses of variance were performed to compar

179 Univariate analyses of variance were used to examine the

180 d with increased rates of pancreas damage on univariate analyses; on multivariate analysis only the p

181 In univariate analyses, only HER2 amplification and TOP2A d

182 In univariate analyses, only higher dose intensity of 6MP a

183 iate relationships in a post hoc manner from univariate analyses or using current blind source separa

184 (OS) and progression-free survival (PFS) in univariate analyses (OS, P = .018; PFS, P = .010) and wa

185 ly significant predictors of incident HCC in univariate analyses (P < 0.05).

186 peared to be predictive factors according to univariate analyses (P = .029, P = .007, and P = 5E(-4),

187 ficantly correlated with overall survival in univariate analyses (P = 0.003, P = 0.01).

188 associated with low aBMD (T score < -1.0) in univariate analyses (P<=.05) and known risk factors for

189 In univariate analyses, p24 antigenemia was associated with

190 In univariate analyses, patient (P=0.002) and overall kidne

191 In univariate analyses, patients with germline BAP1 mutatio

192 On univariate analyses, patients with poor collateral statu

193 In univariate analyses, plasma levels of total cholesterol

194 In univariate analyses, predictors of death included high V

195 In univariate analyses, predictors of renal allograft loss

196 In univariate analyses, prevalent diabetes was associated w

197 In univariate analyses, raised homocysteine concentrations

198 In univariate analyses, rates varied by hospital volume (P=

199 However, these studies have relied on univariate analyses, reducing power and limiting context

200 032) and PAT (p = 0.047) were significant in univariate analyses regarding the severity and bone (p =

201 hout the study in regression models, both in univariate analyses (regression coefficient -7.07, 95% C

202 Standard univariate analyses replicated a HAROLD pattern in motor

203 In univariate analyses, reported as odds ratios (95% CIs),

204 on mean alpha(4)beta(2)-nAChR availability, univariate analyses revealed no group differences for an

205 In addition, the univariate analyses revealed positive correlations of Sh

206 Univariate analyses revealed significant differences in

207 Consistent with feature-specific monitoring, univariate analyses revealed spatially segregated encodi

208 Univariate analyses revealed that a sustained treatment

209 Univariate analyses revealed that African-American subje

210 Our univariate analyses revealed that all tastes (vs tastele

211 Univariate analyses revealed that an atypical histologic

212 Univariate analyses revealed that fibrinogen was positiv

213 Univariate analyses revealed that moral judgement of mor

214 Univariate analyses revealed that participants were able

215 Univariate analyses revealed that smaller pre-irradiatio

216 Univariate analyses revealed the following tumor charact

217 Univariate analyses revealed the recruitment of function

218 In univariate analyses, risk factors for vitamin D deficien

219 In univariate analyses, serum hepcidin concentration was co

220 In univariate analyses, several hospital-level factors were

221 Univariate analyses showed a significant age and PSA cor

222 Univariate analyses showed a significant main effect of

223 Univariate analyses showed a significant positive correl

224 Univariate analyses showed a task-specific activation in

225 Univariate analyses showed that graft and patient surviv

226 Univariate analyses showed that only youth was associate

227 Univariate analyses showed that primary thickness (Bresl

228 Univariate analyses showed that WB-MATV and WB-TLG param

229 Univariate analyses showed the following variables to be

230 encoded for more unpredictable threats with univariate analyses showing a functional coupling with t

231 In univariate analyses, significant associations were obser

232 In univariate analyses, significant correlations with vario

233 On the basis of univariate analyses, six CRHR1 variants were associated

234 In univariate analyses, SNA significantly correlated with a

235 In univariate analyses, STD, QTc, and the PCA ratio predict

236 By univariate analyses, stent placement was a significant r

237 Univariate analyses strongly favoured the association of

238 Univariate analyses suggested strong relations between r

239 In univariate analyses, Tau- and ER-positive status were bo

240 In univariate analyses the following were associated with O

241 On univariate analyses, the 22 patients who did not achieve

242 In univariate analyses, the clinical-pathologic factors ass

243 In univariate analyses, the counts of the following subsets

244 In univariate analyses, the likelihood of receiving ECT was

245 In univariate analyses, the percent change in the levels of

246 In univariate analyses, the relative risk of lung cancer fo

247 In univariate analyses, the risk of perinatal transmission

248 On univariate analyses, the RV FAC was a predictor of morta

249 In univariate analyses, there was an association of subsequ

250 In univariate analyses, there was no association between pr

251 In univariate analyses, there was no significant difference

252 ncreased HCV-specific CD4 T cell response in univariate analyses, these associations were lost when c

253 We performed univariate analyses to compare scores between participan

254 n analyses including important predictors on univariate analyses to determine independent predictors

255 ss spectrometry system with multivariate and univariate analyses to determine the metabolic changes o

256 In univariate analyses, total adiponectin and HMWr were neg

257 Univariate analyses used chi2 test, Wilcoxson rank sum t

258 Although in univariate analyses using KM/log-rank tests showed a sur

259 Univariate analyses using the established International

260 Univariate analyses (voxel-lesion symptom mapping for tu

261 In univariate analyses, we found an association between rac

262 In univariate analyses, we found phenogroup B had a signifi

263 In univariate analyses, we found significant heritability f

264 for plasma HIV RNA level and Nugent score in univariate analyses, we found that G. vaginalis and M. h

265 sia rates between diagnostic groups found in univariate analyses were attenuated when the authors con

266 Univariate analyses were conducted to compare clinical c

267 Univariate analyses were performed for individual risk f

268 Univariate analyses were performed for quantitative data

269 Univariate analyses were performed on the retrospectivel

270 Univariate analyses were performed to assess the prognos

271 Univariate analyses were performed to assess the relatio

272 Univariate analyses were performed to assess the relatio

273 Univariate analyses were performed to compare characteri

274 Univariate analyses were performed to compare demographi

275 Univariate analyses were performed to compare these grou

276 Univariate analyses were performed to describe the chara

277 Univariate analyses were performed to determine whether

278 Univariate analyses were performed to identify clinical

279 Univariate analyses were performed using log-rank test a

280 Univariate analyses were performed using non-parametric

281 Univariate analyses were performed, and multivariable mo

282 isk factors associated with BKV infection in univariate analyses were retransplantation, panel-reacti

283 Univariate analyses were used for comparison of differen

284 Descriptive univariate analyses were used for comparisons of baselin

285 Univariate analyses were used to assess stewardship infr

286 Univariate analyses were used to explore associations be

287 This is benign for univariate analyses where only variants with large effec

288 gnostic Score factors were not prognostic on univariate analyses, whereas Cox multivariate regression

289 31 candidate risk factors were evaluated in univariate analyses, while adjusted for known risk facto

290 iables associated with hematoma expansion in univariate analyses with P </= .10.

291 Univariate analyses yielded weight loss, interval (from