ライフサイエンスコーパス: regression coefficient

1 ence increased with age (P < .0001, logistic regression coefficient).

2 parameter of the prior distribution for each regression coefficient.

3 ficant positive, negative, or nonsignificant regression coefficient.

4 t risk triage score was calculated using the regression coefficients.

5 nd smoothness with respect to the correlated regression coefficients.

6 score according to the magnitude of logistic regression coefficients.

7 of death on the basis of the values of their regression coefficients.

8 We constructed a point score based on regression coefficients.

9 regression calibration was applied to adjust regression coefficients.

10 aining statistically significant correlation/regression coefficients.

11 by computing the exponential of the Poisson regression coefficients.

12 approximately unbiased proportional hazards regression coefficients.

13 basis of the relative size of logistic model regression coefficients.

14 ch interval, dw is calculated on a vector of regression coefficients.

15 , weighted in magnitude by the corresponding regression coefficients.

16 associated with areas of higher deprivation [regression coefficient 0.026 (95% confidence intervals 0

17 DeltaDAS28 after adjustment for confounders (regression coefficient 0.12, 95% CI 0.06-0.18; p=0.003).

18 tment response in both the primary analysis (regression coefficient 0.19, 95% confidence interval [95

19 respectively) and peak systolic Ecc overall (regression coefficient 0.32 [95% CI 0.05 to 0.58]).

20 r (absolute) Ecc in the LAD and RCA regions (regression coefficient 0.37 per unit higher log-CRP [95%

21 tment was associated with a faster recovery (regression coefficient 0.42 days/day delay) (confidence

22 was associated with low drug concentrations (regression coefficient 0.78, 95% CI 0.37-1.18; p<0.0001)

23 nificant estimated annual worsening of SARA (regression coefficient 0.86 points [SE 0.05], INAS (0.14

24 lation than BMS (0.8 vs. 0.65) with a higher regression coefficient (0.92 vs. 0.59).

25 he glycaemic index of the diet for both men (regression coefficient -0.00724 [95% CI -0.0101 to -0.00

26 l symptom subscale of the malaise inventory (regression coefficient -0.024, 95 percent Cl -0.036 to -

27 e rate of invasive interval cancers (Poisson regression coefficient -0.084 [95% CI -0.13 to -0.03]; p

28 re also associated with g using standardized regression coefficients -0.074 to -0.173 (P < 0.05).

29 0.01; P = .92), pattern standard deviation (regression coefficient = 0.01; P = .87), total deviation

30 cantly affect the changes in mean deviation (regression coefficient = 0.01; P = .92), pattern standar

31 -0.1; P = .32), or pattern deviation score (regression coefficient = 0.1; P = .36) from the active p

32 ed to extrinsic mortality rate (standardized regression coefficient = 0.215), gestation period (-0.21

33 with TC:HDL cholesterol at 4 y (standardized regression coefficient = 0.24; 95% CI: -0.02, 0.50), whe

34 icted a higher metabolic score (standardized regression coefficient = 0.29; 95% CI: 0.16, 0.42) but w

35 redictor of insulin resistance (standardized regression coefficient = 0.55; P < 0.001).

36 7, F = 39.32, p < 0.001) and VE/VO(2) slope (regression coefficient = 0.84, F = 24.04, p < 0.001).

37 tively correlated with both VE/VCO(2) slope (regression coefficient = 0.87, F = 39.32, p < 0.001) and

38 sociated with older age in men (multivariate regression coefficients = 0.01; 5.9 ms; and 1.04% per 10

39 ent = 0.01; P = .87), total deviation score (regression coefficient = -0.1; P = .32), or pattern devi

40 antly associated with decreased scar height (regression coefficient = -0.23, P = 7.9 x 10).

41 with TC:HDL cholesterol at 4 y (standardized regression coefficient = -0.30; 95% CI: -0.52, -0.08).

42 reased individual time in therapeutic range (regression coefficient, 0.03; 95% confidence interval, 0

43 1.05, 1.34; p = 0.007), white matter grade (regression coefficient, 0.093; p = 0.011), incident infa

44 P = .01 [higher dosage worse]), maternal IQ (regression coefficient, 0.2; 95% CI, 0.0 to 0.4; P = .01

45 -1 RNA load of > 3 log10 copies/mL of blood (regression coefficient, 0.32 [95% CI, .05-.59]; P = .020

46 amsay score, but not PH; only morphine dose (regression coefficient, 0.44; 95% confidence interval, 0

47 Q3, 88-98) and was higher in older patients (regression coefficient, 0.47 per year; 95% confidence in

48 ral somatosensory cortex increased with age (regression coefficient, 0.698 micromol/L/week; 95% CI li

49 een OSA severity and an eyelid laxity score (regression coefficient, 0.85; 95% CI, -0.33 to 0.62; P =

50 ing the follow-up period (exponential of the regression coefficient, 0.93; 95% CI, 0.88-0.98) and fas

51 e in CNC rates over time (exponential of the regression coefficient, 0.98; 95%, CI, 0.96-0.99).

52 as associated with lower FMD at adolescence (regression coefficient, -0.026-mm change in mean arteria

53 Simplified Acute Physiology Score II (linear regression coefficient, -0.07; standard error, 1.69; P =

54 asualties transported in 60 minutes or less (regression coefficient, -0.141; P < .001), with projecte

55 oate compared to other drugs]), drug dosage (regression coefficient, -0.1; 95% CI, -0.2 to 0.0; P = .

56 nfidence interval, 1.2-22.7; p=.03) and age (regression coefficient, -0.3; 95% confidence interval -0

57 /L/week) and the latency decreased with age (regression coefficient, -0.9861 micromol/L/week; 95% CI

58 sistance traits with glutamine (standardized regression coefficients, -0.04 to -0.22 per 1-SD change

59 (95% CI: 0.17, 0.29); WC, beta standardized regression coefficient: 0.23 (95% CI: 0.16, 0.30)]; thes

60 iated with DHEAS [ie, BMI, beta standardized regression coefficient: 0.23 (95% CI: 0.17, 0.29); WC, b

61 ce interval [CI]: 1.32, 2.59) and longer AL (regression coefficient: 0.27; 95% CI: 0.11, 0.43) than t

62 demographic and cardiovascular risk factors (regression coefficient: 0.29; standard error: 0.06; 95%

63 positive predictor for functional response (regression coefficient: 0.7; P = .04) on univariate anal

64 : 0.26-2.7 for group 2 vs. 1) or 1-year SCr (regression coefficient=0.02 for ln(SCr), P=0.3; 95%CI: -

65 ), while non-Fusarium cases fared similarly (regression coefficient=0.02 logMAR; 95% CI, 0.17 to 0.13

66 sual acuity than voriconazole-treated cases (regression coefficient=0.18 logMAR; 95% CI, 0.30 to 0.05

67 s between age and SD of time to peak strain (regression coefficient=0.33 ms/year of age; P=0.002) and

68 between age and time to peak strain before (regression coefficient=0.37 ms/year of age; 95% confiden

69 etter with natamycin than with voriconazole (regression coefficient=0.41 logMAR; 95% CI,0.61 to 0.20;

70 minus minimum area divided by time; multiple regression coefficient=0.9; P<0.001) and relaxation (coe

71 score at baseline on multivariate analysis (regression coefficient=-0.56, P<.001).

72 Asian race (linear regression coefficient 1.32; 95% CI: 0.23-2.40) but not

73 o 0.62; P = .40) or an ocular surface score (regression coefficient, 1.09; 95% CI, -0.32 to 0.29; P =

74 iated with impaired arterial distensibility (regression coefficient, -1.3% change in arterial distens

75 sion of the artery across this range (linear regression coefficient -11.8 microm. mmol(-1). L(-1), P=

76 e, morphine dose, and Ramsay score, with PH (regression coefficient, 11.7; 95% confidence interval, 1

77 , as well as lower NAA:Cr and Cho:Cr ratios (regression coefficient, 119.8-275; P < .001) in the supe

78 terval, 0.25-0.69) and lower after bleeding (regression coefficient, -12; 95% confidence interval, -2

79 le included higher NAA:Cr and Cho:Cr ratios (regression coefficient, 197.4-275; P < .001) in the post

80 r every 1-point increase of the J-CTO score (regression coefficient 22.33, 95% confidence interval 17

81 edictors of low Ptr,stim were sepsis (linear regression coefficient, -3.74; standard error, 1.16; P =

82 relative to the mean) per unit change in FD (regression coefficient = 4.0%; P < .001).

83 , and GGT produced the highest change in the regression coefficients: 40%, 56%, and 60%, respectively

84 h shorter distance walked in 6 minutes (beta-regression coefficient = -523 ft [95% CI, -592 to -454 f

85 d as the time after surgery lengthened (beta regression coefficient, -60 microm per year since surger

86 decreased in patients with new comedication (regression coefficient, -7.0; 95% confidence interval, -

87 ist circumference were inversely associated [regression coefficient (95% CI)] with animal [-0.199 (-0

88 icantly associated with depressive symptoms (regression coefficient a = -0.21; P < .001), and the dep

89 As evaluated using the regression coefficients, a 1-kg lower birth weight was a

90 r ELISA provided excellent correlation (with regression coefficients above 0.94) indicating that the

91 study and meta-analysis methods used to pool regression coefficients across studies and to assess the

92 [interquartile range, 8.9-13.8 hours]); the regression coefficient adjusted for log age and log von

93 (i.e., coefficient of variation, CV) and in regression coefficients among different models.

94 Based on logistic regression coefficients, an integer score was created an

95 Linear regression coefficient analysis was used to correlate pe

96 tivation map for each experiment, the linear regression coefficient and slope were calculated for the

97 Using the regression coefficients and centralized prognostic index

98 includes three steps: denoising, estimating regression coefficients and modeling trajectories under

99 e statistical power by combining results via regression coefficients and standard errors from differe

100 rocedure and can provide biased estimates of regression coefficients and standard errors.

101 olute values as well as the norm of the PLS2 regression coefficients and their significances.

102 e, measurement error can lead to bias of the regression coefficients and to inflation of their varian

103 A predictive score was computed from the regression coefficients and used to classify patients in

104 included in the final model and weighted by regression coefficients: anemia (3 points), severe renal

105 The regression coefficients are parameters of interest.

106 d have two characteristics--1) the estimated regression coefficients are small and 2) there exist con

107 ies, derived from the multiple response PLS2 regression coefficients, are studied for six data sets c

108 d associations (odds ratios, rate ratios, or regression coefficients associated with 5-dB decrements

109 ssociation with depression symptom severity (regression coefficient b = 1.04; 95% CI, 0.61-1.47), wit

110 e diagnosis of nonarteritic AION (P = 0.001; regression coefficient B, -55.1), after adjusting for ag

111 reported greater acute stress [standardized regression coefficient (b) = 0.07; SE = 0.01; 95% confid

112 ores were comparable in Boston and New York [regression coefficient (b) = 0.43; SE = 1.42; 95% confid

113 reater decline in both visuospatial ability (regression coefficient [b] = -0.50 [0.15], P < .001) and

114 Multivariable linear regression (estimated regression coefficient, B) was used to adjust for risk f

115 hlorate and decreasing total thyroxine (T4) [regression coefficient (beta) = -0.70; 95% CI: -1.06, -0

116 For each biomarker response, the regression coefficient (beta) for individual studies and

117 Regression coefficients (beta) and 95% confidence interv

118 The regression coefficients (beta) were small: For each year

119 artially explained both the concurrent (beta regression coefficient [beta] -0.038, 95% CI, -0.050 to

120 x-adjusted childhood fat mass (exponentiated regression coefficient [beta] 17% per SD change in methy

121 m neutrophil counts were IL1R1 (standardized regression coefficient [beta] = +0.27, P = .005), IL1RAP

122 ciated with thinner RNFL thickness globally (regression coefficient [beta] = -1.334 mum for per-SD de

123 associated with greater depressive symptoms (regression coefficient [beta] = 0.69; 95% CI, 0.03-1.34)

124 positively correlated with PWV (standardized regression coefficient, beta = 0.4, p < 0.0001), whereas

125 h weight and systolic blood pressure (linear regression coefficient betabw = -0.3 mmHg/kg, 95% confid

126 TAG320 was defined as the linear regression coefficient between luminal attenuation and a

127 TAG320 was defined as the linear regression coefficient between luminal attenuation and a

128 The average linear regression coefficient between template copy number and

129 There were no differences in the pooled regression coefficients between males and females combin

130 , second derivative spectra and weighted PLS regression coefficients (BW) were utilised to select imp

131 lirubin, which-in combination-attenuated the regression coefficients by 72% (95% CI: 7%, 239%).

132 Scaling the regression coefficients by the maximum coefficient creat

133 s were calculated by dividing the individual regression coefficients by the regression coefficient wi

134 d from the R-R interval, in combination with regression coefficients calculated from initial experime

135 he regression line for the ray with greatest regression coefficient (called the primary axis) was use

136 pools, valid and efficient estimation of the regression coefficients can be achieved.

137 and selection operator (Lasso) estimation of regression coefficients can be expressed as Bayesian pos

138 Our power calculations show that regression coefficients contain as much information on i

139 thin each city were characterized as Poisson regression coefficients describing change in abundance p

140 For stroke delineation, linear regression coefficients determined correlations of ASPEC

141 The assessment was based on regression coefficients, discrimination, and calibration

142 ng relationships were linear with slopes and regression coefficients equal to 1.

143 The resulting logistic regression coefficient estimate based on the transformed

144 cognitive test score substantially inflates regression coefficient estimates for the effect of schoo

145 es that presume intervals whose markers have regression coefficient estimates of differing sign to be

146 no guarantee, however, that the signs of the regression coefficient estimates will be the same.

147 h weight and total abdominal fat [B (partial regression coefficient expressed as SD/1-kg change in bi

148 Under certain basic conditions, the signs of regression coefficients flanking QTL must be the same.

149 agreement between the signs of the estimated regression coefficients flanking QTL.

150 the dependent variable) were older age (beta regression coefficient for +1-year change, 0.025; P<0.00

151 Regression coefficient for the association between pain

152 Regression coefficients for a one-standard-deviation inc

153 idation of a risk index based on points from regression coefficients for age, sex, waist circumferenc

154 Cox's proportional hazards regression coefficients for cirrhosis and HCC predictors

155 the correlated measurement error, estimated regression coefficients for linear models including both

156 The regression coefficients for log-transformed measures (fi

157 We show that regression coefficients for many SNPs can reveal the per

158 Mixed models were used to obtain regression coefficients for the impact of 98 morbid cond

159 em was constructed by rounding the estimated regression coefficients for the independent predictors i

160 Conversely, length showed greater regression coefficients for the MUAC.

161 ssociation with the WLZ and MUAC with higher regression coefficients for the WLZ.

162 We calculated an intake-status regression coefficient ( ) for each individual study and

163 nly 25 of the 48 studies that did not report regression coefficients found an inverse association (p<

164 CI, 0.86-1.01], with 29% attenuation of the regression coefficient from -0.09 to -0.07 based on boot

165 A comparison of regression coefficients from models with and without glu

166 Using regression coefficients from our analysis, we estimate t

167 polish, and the second-order changes in the regression coefficients from the age-period-cohort model

168 A scoring system was developed using regression coefficients from this model.

169 es of -58.5 and -60.3 mV, respectively, with regression coefficients greater than 0.99.

170 dividual amino acid, and good linearity with regression coefficients greater than 0.999.

171 bacterial mixture at levels from 5% to 100% (regression coefficient, >0.98; residual prediction devia

172 Almost all of these regression coefficients had been adjusted for current we

173 The norm of the PLS2 regression coefficients has the best selective abilities

174 ording to the inverse of the variance of the regression coefficient (ie, "statistical size"), and com

175 onent of eye movements were used to identify regression coefficients in a first-order model for each

176 ents (ICCs) and the estimated attenuation of regression coefficients in a hypothetical case-control s

177 over a range of more than 4 log units, with regression coefficients in broad agreement with previous

178 ffects by assuming a common distribution for regression coefficients in multivariate linear regressio

179 ntry-specific multivariate-controlled linear regression coefficients, including adjustment for urinar

180 ncreased in patients compared with controls (regression coefficients: inclusion body myositis thigh 4

181 n, but is rendered more flexible by sampling regression coefficients independently for each gene.

182 synchronous neural interactions, the partial regression coefficient indicates the strength and direct

183 The normal distribution assigned to each regression coefficient is a prior distribution.

184 he biparental regression is linear, then the regression coefficient is simply Vgam/V, and hence the s

185 The significance of the mean of the PLS2 regression coefficients is found to be the least-selecti

186 e estimation procedure to first estimate the regression coefficient matrix by [Formula: see text] pen

187 gression model, marker-specific shrinkage of regression coefficients may be needed.

188 mportant wavelengths were selected using the regression coefficients method to develop new PLSR model

189 ssigned a points value proportional to their regression coefficients: mitral valve area </=1 cm(2) (2

190 ntercept of 0.01, a slope of 0.86, and an R2 regression coefficient of 0.74 (r = 0.86).

191 compared to actual visual acuity and a mean regression coefficient of 0.85.

192 1pg/mL at a sensitivity of 2.02muA M(-1)at a regression coefficient of 0.99.

193 and high sensitivity 66 microA M(-1) with a regression coefficient of 0.998.

194 to 0.265 mg L(-1) for vitamin B(1), with the regression coefficient of 0.999.

195 docked scores revealed a correlation with a regression coefficient of r2 = 0.61 (q2 = 0.59).

196 m beta(2)M levels at 1 mo of follow-up, with regression coefficients of -7.21 (+/-0.69 SE) mg/L per m

197 change in BPA concentration, or standardized regression coefficients of 0.075 for liver enzyme concen

198 LISA for glycine and taurine (n = 10) showed regression coefficients of 0.97 and 0.98, respectively.

199 The new G(2,1)-norm considers the regression coefficients of all the SNPs in each group wi

200 On average, regression coefficients of annual mortality on heat and

201 Because estimation of regression coefficients of individual rare variants is o

202 nges and associated 95% CIs in the estimated regression coefficients of models with and without adjus

203 On the basis of the wavelengths selected by regression coefficients of PLSR models, instrumental opt

204 Regression coefficients of predictors in Cox proportiona

205 Persons with "multimarker" scores (based on regression coefficients of significant biomarkers) in th

206 for predicting TR-ROP were derived from the regression coefficients of significant predictors in a m

207 55 studies that had reported regression coefficients of systolic blood pressure on bi

208 s-corrected 95% confidence intervals for the regression coefficients of the final model.

209 allows in silico determination of the linear regression coefficients of the log-length correction in

210 The difference between the regression coefficients of the two slopes was significan

211 Variables are selected using PLS regression coefficients on the training set using an opt

212 thousands of genes, summary estimates (e.g. regression coefficients or error rates) algorithms shoul

213 results from quantitative trait GWAS such as regression coefficients or p values.

214 ty of the bimodal profiles, the signs of the regression coefficients or preferred directions reverse

215 The partial regression coefficient, or slope, is the primary outcome

216 The regression coefficient P values were <0.001, 0.46, and 0

217 /d x 10460 kJ diet (g/d 2500 kcal); positive regression coefficient, P < 0.001] and potassium [mEq/d

218 10460 kJ diet (mEq/d x 2500 kcal): negative regression coefficient, P = 0.001] contents, which were

219 ce and the prevalence of HIV viremia (linear regression coefficient per 1-percentage-point increase i

220 and statin medication (multivariate logistic regression coefficient per unit = -0.314 +/- 0.144; p =

221 r regression analyses were used to calculate regression coefficients per SD increase in plasma concen

222 In men, the regression coefficients (per decade of urban life) were

223 al IL-1beta levels than noncarriers (partial regression coefficient [PRC] +/- SE), TT versus CC: 37.6

224 The regression coefficient priors are flexible enough to inc

225 asurements of each peptide standard showed a regression coefficient R(2)>0.9958.

226 a limit of detection (LOD) at 0.01 ng/mL and regression coefficient R(2)=0.9982.

227 earity in the range of 5.0-15 mM with linear regression coefficient R(2)=0.9995, a good reproducibili

228 mi/ng, detection limit of 3.133 ng/muL and a regression coefficient (R(2)) of 0.987.

229 ), a linear range of up to 7 ng/cm(2), and a regression coefficient (R(2)) of 0.9959.

230 up to 0.719 (strand transfer CoMSIA, Conf-s) regression coefficients (r(2)) of up to 0.932 (strand tr

231 est fit by the equation V=0.86+2.65A (linear regression coefficient, R = 0.919, P < 0.001).

232 inearly with DO level up to 8.8 +/- 0.3mg/L (regression coefficient, R(2)=0.9912), while the maximum

233 d urinary metabolite concentrations (log-log regression coefficients ranging from 0.26 to 0.29; p < 0

234 oved postoperative IQ and delta IQ (adjusted regression coefficient [RC] = 3.4, 95% confidence interv

235 For all 3 retina procedures, the regression coefficients representing the Medicare paymen

236 SNP, e.g. the true mean of odds ratios (ORs)/regression coefficients (RRs) or Z-score noncentralities

237 d independently with older age (standardized regression coefficient [sbeta] = -0.311; P < .001), high

238 n GCLC genotypes and CF lung disease (linear regression coefficient [SEM], 1.68 [1.0]; p = 0.097).

239 subjects with a milder CFTR genotype (linear regression coefficient [SEM], 5.5 (1.7); p = 0.001).

240 ourants by the application of PLS-DA and PLS-regression coefficient showed strong positive correlatio

241 Estimated regression coefficients showed that the 25 mg/day and 50

242 Mutation regression coefficients showed that, within a drug class

243 ession model employs hierarchical priors for regression coefficients similar to the ones used in the

244 Multiple regression models (standardized regression coefficients [SRCs] and semipartial correlati

245 ed with a longer LOS were need for dialysis (regression coefficient +/- standard error, 4.5 +/- 1.1)

246 The pooled regression coefficient tended to be weaker in studies re

247 In addition, the program provides the regression coefficient that designates the relative cont

248 We reported the quantile regression coefficients that corresponded to absolute di

249 of log-transformed weight and height showed regression coefficients that departed from the 1 to -2 r

250 let process prior on the distribution of the regression coefficients that describes the relationship

251 Among the 55 studies that reported regression coefficients, there was a clear trend (p<0.00

252 rvations and mixture priors are used for the regression coefficients to identify promising subsets of

253 ncentration range of 0.09-50 mug mL(-1) with regression coefficients to range from 0.9993 to 0.9997.

254 as Bayesian posterior mode estimation of the regression coefficients under various hierarchical model

255 between the measurements (r=0.60-0.92), the regression coefficient values indicated higher measures

256 ior densities and point masses on the binary regression coefficient vectors.

257 as a continuous variable, the corresponding regression coefficient was -0.2811 (-0.4922, -0.07001).

258 The race-adjusted standardized regression coefficient was 0.22 (95% confidence interval

259 .4 mug L(-)(1)) and 1.7% (88.5 mug L(-)(1)), regression coefficient was 0.999 in the linear working r

260 re such that a selection probability of each regression coefficient was provided which helps us make

261 For pooled data, the regression coefficient was r=0.93 for each strain (P<0.0

262 and blood pressure was presented as a linear regression coefficient was undertaken.

263 The absolute value of multivariable regression coefficients was higher at high frequencies f

264 Direct comparative analyses with regression coefficient were calculated on split-sample (

265 The regression coefficients were at least 0.99 and relative

266 he range of 5-200microgL(-1), and the linear regression coefficients were higher than 0.99.

267 For their relation to systolic BP, regression coefficients were larger both for those aged

268 Nonetheless, the regression coefficients were negative much more often th

269 The regression coefficients were similar across sites, yet t

270 ct that this has on the observed correlation/regression coefficient when in reality this is zero, we

271 l pitfalls in the interpretation of logistic regression coefficients when two or more characteristics

272 obtaining confidence intervals for the true regression coefficient, which takes into account the var

273 Moreover, the regression coefficients, which represent parameter sensi

274 he individual regression coefficients by the regression coefficient with the lowest beta to create si