ライフサイエンスコーパス: confounder

1 respectively, adjusting for individual-level confounders).

2 cluding one miscoded variable and one hidden confounder.

3 stimates could be explained by an unmeasured confounder.

4 d for these procedures and can be a research confounder.

5 as excluded from all patients as a potential confounder.

6 microcephaly status, adjusted for potential confounders.

7 ariate associations, adjusting for potential confounders.

8 ng causal mediation analyses, accounting for confounders.

9 egative for that pathogen, adjusting for key confounders.

10 ortional hazard model was used to adjust for confounders.

11 syndrome (MERS), accounting for time-varying confounders.

12 GM N = 19,615; WM N = 17,760), adjusting for confounders.

13 egression models and adjusting for potential confounders.

14 BDs versus those without BDs, adjusting for confounders.

15 ore matching to control for >120 preexposure confounders.

16 tential for omitted state-level time-varying confounders.

17 in regression models adjusting for potential confounders.

18 I] 0.59, 0.73; P < .001) after adjusting for confounders.

19 kocyte cell composition, and other potential confounders.

20 all 3 VRQoL outcomes, adjusted for potential confounders.

21 CI 1.13-1.67) after adjustment for potential confounders.

22 Every analysis was adjusted for potential confounders.

23 ts, and to exclude psychosocial and cultural confounders.

24 linear regression models adjusting for major confounders.

25 le regression models adjusting for potential confounders.

26 reased risk of NCI after adjusting for major confounders.

27 p = 0.001), persisting after controlling for confounders.

28 erformance, adjusting for multiple potential confounders.

29 logistic regression, adjusting for available confounders.

30 ing to account for baseline and time-varying confounders.

31 onfidence intervals, adjusting for potential confounders.

32 oma group using Cox regression adjusting for confounders.

33 aphic findings, revascularization, and other confounders.

34 n with adjustment for prenatal and postnatal confounders.

35 rence remained after adjusting for potential confounders.

36 hted analysis, we cannot rule out unmeasured confounders.

37 ed significant after adjusting for potential confounders.

38 robust error variance adjusting for multiple confounders.

39 redict while reducing biases associated with confounders.

40 ary treatment, a binary outcome and baseline confounders.

41 hickness in the 2 groups after adjusting for confounders.

42 treatment-related differences are potential confounders.

43 re-weighted analysis was done to control for confounders.

44 ce of kidney stones, adjusting for potential confounders.

45 G dropout, after adjusting for age and other confounders.

46 ear regression models adjusted for potential confounders.

47 rious complications, adjusting for potential confounders.

48 D, before and after adjustment for potential confounders.

49 , after multivariate adjustment for possible confounders.

50 1.16-2.59) after adjusting for the baseline confounders.

51 ) or grade 3 or worse (CIN3+), and potential confounders.

52 aitlisting even after adjusting for multiple confounders.

53 ic accuracy among groups after adjusting for confounders.

54 Adjustment were for multiple confounders.

55 (PSs) were computed, including preidentified confounders.

56 d Poisson regression, adjusting for relevant confounders.

57 mained significant even after adjustment for confounders.

58 sks across the groups adjusted for potential confounders.

59 baseline mid-thigh muscle CSA and potential confounders.

60 st error variance and adjusted for potential confounders.

61 minimum of 18 a priori determined potential confounders.

62 and COPD prevalence adjusting for a range of confounders.

63 tors, and seborrheic dermatitis adjusted for confounders.

64 k of preeclampsia, adjusting for established confounders.

65 rst 3 months after controlling for potential confounders.

66 peat pregnancies and adjusting for potential confounders.

67 ascular death after extensive adjustment for confounders.

68 that focused on the influence of unmeasured confounders.

69 1.71]) after adjusting for several potential confounders.

70 potential of residual biases from unobserved confounders.

71 which controls for time-invariant potential confounders.

72 with mortality after adjusting for possible confounders.

73 R estimates that were adjusted for potential confounders.

74 discoveries beyond correcting only for known confounders.

75 ot significant after adjustment for possible confounders.

76 -effect components to account for unobserved confounders.

77 99) per additional ELN after controlling for confounders.

78 , adjusting for individual and health system confounders.

79 sented the exposure-induced mediator-outcome confounders.

80 culating insulin, independent of obesity and confounders.

81 gibly influenced by adjustment for available confounders.

82 tios and differences, adjusted for potential confounders.

83 ar regression, with adjustment for potential confounders.

84 Cox regression models adjusted for potential confounders.

85 HF hospitalization, adjusting for potential confounders.

86 =0.001) in models that adjusted for multiple confounders.

87 egression adjusted for the same hypothesised confounders.

88 al replacement therapy after adjustments for confounders.

89 person effects, controlling for time-varying confounders.

90 based on patients' and hospitals' potential confounders.

91 HIV status were adjusted for known potential confounders.

92 r adjustment for physical function and other confounders.

93 03-1.43; P = 0.02), independent of potential confounders.

94 NOACs are likely to be biased by unmeasured confounders.

95 r time to death was evaluated, adjusting for confounders.

96 ere performed, while adjusting for potential confounders.

97 on therapies, including adjustment for known confounders.

98 ata with suboptimal adjustment for potential confounders.

99 and renal function into account as potential confounders.

100 onship actually reversed after adjusting for confounders.

101 d distant recurrences, adjusted for possible confounders.

102 stic regression was performed to account for confounders.

103 ort studies and limited investigation of key confounders.

104 ne system inhibitor use, and other potential confounders.

105 HCC recurrence after adjusting for potential confounders.

106 0 x 10(-3)) after adjusting for the baseline confounders.

107 ultivariate analyses adjusting for potential confounders (-5.50, -10.51 to -0.48; p=0.0316).

108 od of enrollment, and including as potential confounders a family history of any allergy in parents,

109 sted for updated BMI, lifestyle, and dietary confounders, a 1-egg/d increase was associated with a 14

110 After adjusting for potential confounders, a positive association between birth weight

111 vity and Function in the Elderly study using confounder-adjusted Cox proportional hazards models (inc

112 ion data comprising: (i) data preprocessing, confounder adjustment using independent component analys

113 After confounder adjustment, alcohol-related liver disease pat

114 After confounder-adjustments, 2 lipids were significantly asso

115 Confounders affect the relationship between input data (

116 hy behaviors)," outcome "periodontitis," and confounders "age, sex, household income, level of educat

117 n models, adjusting for clinically pertinent confounders (age, comorbidities, steroid use, and combin

118 In models adjusted for potential confounders (age, race, country of birth, total people p

119 Several covariates were considered confounders (age, race, sex, site, socioeconomic status,

120 regression, adjusting for a priori potential confounders (age, type of surgery, support status, and p

121 After controlling for confounders, age (aOR 9.08, 95% CI 2.29-36.10), and HbA1

122 h, nitrite, MCP-1 and IL-5 and participants' confounders, age and gender, in predicting the identifie

123 ighted analysis was performed to control for confounders: age, sex, time between symptom onset and ad

124 e of the unconditional joint distribution of confounders and any other covariates required for condit

125 s between CR and ICR are subject to multiple confounders and are difficult to understand or apply to

126 After adjusting for confounders and child height, we observed higher SBP in

127 Linear mixed models, adjusted for confounders and complications, provided mean score diffe

128 designed studies that overcome many previous confounders and for the first time reveal the neural mec

129 HRs were adjusted for important confounders and immortal time.

130 sion models adjusted for clinically-relevant confounders and including a random-effect to account for

131 After adjustment for potential confounders and mediators including CD4 count, a substan

132 nplanned readmission), whereas adjusting for confounders and other complications.

133 settings are needed to elucidate the role of confounders and provide more robust estimates.

134 ntercepts mixed-effects models incorporating confounders and study site as a random effect were used

135 tations include the potential for unmeasured confounders and the use of billing codes to identify coh

136 m Short-Form Survey, adjusting for available confounders, and evaluated effect modification by sex, r

137 ed experimental design that eliminates these confounders, and report thousands of intrinsically covar

138 rs and outcomes at a later time point; these confounders are themselves affected by the prior exposur

139 eat (ITT) population, adjusted for potential confounders at patient level (sex, age) and practice lev

140 n without asthma when adjusting for measured confounders, but the associations were attenuated in sib

141 nd statistical models minimize the impact of confounders by, for example, matching data sets, stratif

142 After adjusting for other confounders, CFU and age remained significantly associat

143 After adjustment for confounders, compared with a net ultrafiltration less th

144 After adjusting for relevant confounders, concurrent antioxidant use with chemotherap

145 Confounder control based on the proposed method might be

146 st, study designs, model specifications, and confounder controls.

147 Background Advanced confounder-corrected chemical shift-encoded MRI-derived

148 untries) with complete exposure, outcome and confounder data.

149 untries) with complete exposure, outcome and confounder data.

150 After robust control for confounders (demographic, health, health-behavior, and s

151 We adjusted for the following major confounders: deprivation, birthweight, maternal age, sex

152 Controlling for multiple potential confounders did not alter these results.

153 ing learned from one dataset with a specific confounder distribution does not generalize to different

154 After adjustments for prognostic confounders, DOAC pretreatment was associated with a fav

155 ii) generalize successfully across different confounder domains.

156 ore (PS) was calculated to address potential confounders due to unbalanced distribution of baseline c

157 propensity score (PS) to control for over 70 confounders (e.g., maternal age, race/ethnicity, indicat

158 Among former smokers, after adjusting for confounders, each additional year since quitting smoking

159 After adjusting for confounders, each unit decrease in peak systolic septal

160 After controlling for confounders, EDE was not associated with increased risk

161 s in health expenditures after adjusting for confounders, especially in inpatient and emergency depar

162 To control for the confounder factors, T(2) relaxometry and L-6-(18)F-fluor

163 emained significant following adjustment for confounders (false-discovery rate [FDR], < 0.10).

164 We identify that accounting for confounders, feature selection, and the choice of the nu

165 ls by occupation and adjusting for potential confounders, firefighters had higher geometric mean conc

166 te that spatiogenetic variability is a major confounder for personalized treatment of patients with p

167 ng; for example, the OR after adjustment for confounders for low educational attainment comparing 4+

168 es measured at a given time point can act as confounders for the association between mediators and ou

169 e the untestable assumption of no unmeasured confounders for the causal mediation analysis, and the l

170 After controlling for confounders, four metabolites significantly increased: c

171 and (ii) an adversary trained to predict the confounder from that embedding.

172 hool and national test results) and measured confounders from national registers.

173 medy this problem, we attempt to disentangle confounders from true signals to generate biologically i

174 completeness of follow-up, and collection of confounders have limited the inference of results.

175 After accounting for potential confounders, higher CA volume was associated with lower

176 In the multivariable model adjusting for 11 confounders, higher presenting sRAGE level was associate

177 After adjusting for confounders, HIV remained significantly associated with

178 nal hazards model was created to control for confounders identified using clinical judgment and stati

179 n Abeta mouse models and acts as a potential confounder in experimental designs.

180 Population stratification (PS) is a major confounder in genome-wide association studies (GWAS) and

181 approach that allows for inclusion of major confounders in a time-dependent way.

182 endent of sexual preferences and demographic confounders, in order to assess a possible impact of the

183 study include possible bias from unmeasured confounders, inability of summary-level MR to investigat

184 The confounders included for adjustment were age, sex, and c

185 After adjustment for possible confounders including age, center, year of screening exa

186 -metabolite associations after evaluation of confounders including co-treatment.

187 ear regression models adjusted for potential confounders including early respiratory/allergic outcome

188 al recognition after adjusting for potential confounders including glaucoma severity, CS, age, and vi

189 (n = 662) were analysed with adjustment for confounders including maternal age, compliance to supple

190 Adjusting for potential confounders including maternal prepregnancy BMI, each 1-

191 , and failure to control for large potential confounders including patients' presenting signs and sym

192 us epilepticus day, independent of potential confounders (including fatal etiology, duration and seve

193 We demonstrate that, where time is not a confounder, including out-of-season controls can improve

194 the outcome (VRQoL), adjusted for potential confounders, including age, gender, socioeconomic status

195 r sociodemographic, behavioral, and clinical confounders, including age, sex, comorbidity, mood disor

196 After we adjusted for confounders, including alcohol consumption status, ADH1B

197 ly significant after adjusting for potential confounders, including calcium and fiber intake (P for t

198 After adjusting for several potential confounders, including concomitant changes in other life

199 All models were adjusted for potential confounders, including demographics, urban/rural residen

200 After multivariable adjustment for potential confounders, including folate, we observed an inverse as

201 Models were adjusted for confounders, including other Healthy Eating Index-2010 c

202 The associations considered relevant confounders, including prenatal maternal depressive symp

203 dy quality and the possibility of unmeasured confounders influencing the findings.

204 n (i) generate embeddings that do not encode confounder information, (ii) conserve the biological sig

205 tients per resident physician as a potential confounder, intervention schedules were no longer associ

206 s of the causal effect of treatment when the confounder is also a mediator.

207 nal research assessing possible mediators or confounders is needed.

208 ing for both time-invariant and time-variant confounders (loneliness: coef = - 0.06, 95% CI - 0.09 to

209 After adjustment for confounders, low serum ionized calcium of 4.40-4.59, <=

210 Unmeasured confounders may however have persisted despite careful p

211 se studies are small, fail to adjust for key confounders, measure body mass index at inconsistent tim

212 variable regression to control for potential confounders.Measurements and Main Results: Of 15,802 pat

213 ion models were used to adjust for potential confounders (MI risk factors and HIV-related parameters)

214 it might be ideal if only a few (<10) strong confounders must be controlled.

215 ; it may be ideal if only a few (<10) strong confounders must be controlled.

216 xis was broadly applied, after adjusting for confounders, no reduction in VTE was observed in at risk

217 dicted 30-day mortality after accounting for confounders (odds ratio 14.9, 95% CI 2.8 - 87.2).

218 the fact that environmental conditions are a confounder of ecological interactions and network archit

219 ore droplet partitioning and is an important confounder of scRNA-seq analysis.

220 ing, suggesting that smoking is an important confounder of tumor incidence.

221 Age was the confounders of the VI-hypertension or VI-educational lev

222 xamine cirrhosis and incidental diagnosis as confounders on OS and RFS.

223 and a lack of attention to social factors as confounders or effect modifiers.

224 djustment for clinical and echocardiographic confounders (OR 1.89; 95% CI 1.50 to 2.40; p = 0.007).

225 mptoms among the elderly after adjusting all confounders (OR=0.83, 95% CI: 0.82-0.84).

226 After adjustment for potential confounders, OUD was associated with a lower probability

227 disease activity, even after adjustment for confounders (p = 0.008).

228 After adjusting for confounders, participants with glaucoma were more likely

229 To account for confounders, patients were substratified by whether they

230 After adjustment for confounders, persons living with HIV (PLWH) gained a med

231 After adjusting for confounders, plasma levels of elastin degraded by protei

232 Despite our assessment of major confounders, potential residual confounding is possible,

233 These sources of variations, called confounders, produce embeddings that fail to transfer to

234 Three analyses were performed to control for confounders: propensity score matching, multivariable su

235 itudinal HRQOL in the general population and confounders, provided mean score differences (MDs) with

236 inomial regressions, adjusting for potential confounders, random effects for village, and autoregress

237 nting for intrinsic correlations between the confounder(s) and prediction outcome.

238 After adjusting for confounders, senile sclerotic discs had the lowest cpCD

239 fers a unique opportunity to control for key confounders shared within a twin pair, including gestati

240 gression analysis after adjusting for likely confounders showed that B12 was independently and negati

241 fter adjusting for age, disc area, and other confounders, significantly lower cpCD was found in ED ey

242 al logistic regression adjusted on potential confounders (smoking, growing in countryside, childhood

243 method was applied to control for potential confounders such as age and sex.

244 ns where tumors are located and adjusted for confounders such as exposure to chemotherapy and radiati

245 mo, and research that accounts for potential confounders such as feeding practices and baseline growt

246 ver, their clinical use has been hampered by confounders such as patient co-morbidities, by the tumor

247 of thousands of samples while accounting for confounders such as population stratification and sample

248 an effect modifier, adjusting for potential confounders such as smoking status, sex, age, education

249 ntial confounders, there are also unmeasured confounders such as smoking that prevent us from drawing

250 ences even after exclusion of methodological confounders such as sort contamination, and multiple mRN

251 ng for important sociodemographic and health confounders, such as alcohol use, this study identifies

252 ng that can be addressed if data on measured confounders, such as employment status, are available.

253 significant after controlling for potential confounders, such as substance use disorders.

254 yses were performed, adjusting for potential confounders (tacrolimus trough, variability of tacrolimu

255 superior control of measured and unmeasured confounders that comes with randomizing a larger number

256 ry-related technical artifacts are important confounders that have been insufficiently accounted for.

257 After adjusting for confounders, the adjusted HRs for ION in the second- and

258 we examined, after adjustment for potential confounders, the associations between breathlessness and

259 After accounting for potential confounders, the group that developed adverse events sho

260 After adjustment for confounders, the occurrence of arterial thrombosis remai

261 After adjusting for potential confounders, the RRs (95% CIs) of frailty per 1-SD incre

262 h our models are adjusted for many potential confounders, there are also unmeasured confounders such

263 After adjustments for confounders, third-trimester total cholesterol levels we

264 nal in design and few adjusted for potential confounders, this analysis provides comprehensive estima

265 After adjustment for confounders, this estimate changed little (odds ratio =

266 ed population structure is also an important confounder to correct for in genome-wide association stu

267 reverse causality, and adjusts for potential confounders to address gaps and limitations in the evide

268 ith clinical parameters while accounting for confounders typically chosen by expert knowledge.

269 variable regression analysis controlling for confounders, uncemented fixation was associated with a s

270 rapy (P = 0.004), including the influence of confounders upon disease occurrence (P = 0.038) CONCLUSI

271 fter adjusting for baseline and time-varying confounders using a marginal structural model, RBV/rIFN

272 ctions with HIV and controlling for numerous confounders using inverse probability of treatment weigh

273 onditional on each of the values of a third (confounder) variable.

274 methylation probes which are correlated with confounder variables reduces the error of inference by 3

275 r of patient enrollment, and other potential confounders, vitamin E treatment decreased the risk of d

276 To address these potential confounders, we developed a negative binomial regression

277 Controlling for additional confounders, we evaluated relationships between these va

278 After adjustment for potential confounders, we found a positive association between par

279 sociated microbiota traits and adjusting for confounders, we identified an HIV-related microbiota sig

280 rdiovascular events, accounting for multiple confounders, we studied 2738 individuals with moderate t

281 In the absence of these confounders, we take an experimental medicine approach t

282 Tumor parameters and key confounders were compared to consecutive recipients with

283 s compared with no ACEs after adjustment for confounders were depression, 2.4 (1.6-3.8, p < 0.001); d

284 rements, genetics, medication, and potential confounders were extracted from the E3 database.

285 s compared with no ACEs after adjustment for confounders were harmful alcohol use, 1.4 (0.9-2.0, p =

286 Potential confounders were included in both approaches.

287 Biologic confounders were minimized by measuring the ECV fraction

288 Imaging confounders were minimized by using an arrhythmia-insens

289 egression analysis controlling for potential confounders were used to determine the impact of GBA1 va

290 stic regression models adjusted for relevant confounders were used to determine the independent effec

291 Cox models adjusted for potential confounders were used to estimate HRs and 95% CIs for th

292 een drugs and infection, with adjustment for confounders, were estimated by means of logistic regress

293 riable regression models, adjusted for known confounders, were used to determine associations between

294 regression analyses, adjusted for potential confounders, were used to prospectively study the associ

295 e confirm that calendar time is an important confounder when vaccine status varies during the study.

296 esistance genes but must control for genetic confounders while maintaining power.

297 auxiliary variables that are correlated with confounders whose true underlying values are mismeasured

298 sion was confirmed even after adjustment for confounders with a logistic regression model.

299 Before considering relevant confounders, women were at similar risk of MACE compared

300 strength of association...that an unmeasured confounder would need to have with both the treatment an