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 , weighted in magnitude by the corresponding regression coefficients.

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 assigned point values proportional to their regression coefficients.

9 We constructed a point score based on regression coefficients.

10 regression calibration was applied to adjust regression coefficients.

11 aining statistically significant correlation/regression coefficients.

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

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

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

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

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

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

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

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

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

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

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

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

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

25 0.01; P = .92), pattern standard deviation (regression coefficient = 0.01; P = .87), total deviation

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

27 thing was associated with haemoglobin level (regression coefficient = 0.022; p < 0.01).

28 -0.1; P = .32), or pattern deviation score (regression coefficient = 0.1; P = .36) from the active p

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

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

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

32 In a multivariable model, TAC (standardized regression coefficient = 0.50; P = 0.001) independently

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

34 7, F = 39.32, p < 0.001) and VE/VO(2) slope (regression coefficient = 0.84, F = 24.04, p < 0.001).

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

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

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

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

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

40 and, in a separate model, TAC (standardized regression coefficient = -0.53; P < 0.0001) independentl

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

42 1.05, 1.34; p = 0.007), white matter grade (regression coefficient, 0.093; p = 0.011), incident infa

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

44 -1 RNA load of > 3 log10 copies/mL of blood (regression coefficient, 0.32 [95% CI, .05-.59]; P = .020

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

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

47 ith better preoperative vision (standardized regression coefficient, 0.553; P = 0.001) and high refle

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 of layers from the ILM to OPL (standardized regression coefficient, -0.428; P = 0.001).

58 of layers from the ILM to OPL (standardized regression coefficient, -0.526; P = 0.001).

59 d with worse preoperative BCVA (standardized regression coefficient, -0.539; P < 0.001) and high refl

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

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

62 (95% CI: 0.17, 0.29); WC, beta standardized regression coefficient: 0.23 (95% CI: 0.16, 0.30)]; thes

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

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

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

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

67 ow-up period, relative to the control group (regression coefficient: -0.58 [-0.74 to 0.42] without ag

68 : 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: -

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

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

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

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

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

74 was strongly correlated between conditions (regression coefficient=0.85, P&.001).

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

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

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

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

79 function in multivariate regression models (regression coefficient -10.49, -17.25 to -3.73; p=0.0024

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

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

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

83 athecal baclofen and 21.0 (4.6) for placebo (regression coefficient = 17.8, 95% confidence interval =

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

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

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

87 independently associated with lung function (regression coefficient -4.77, 95% CI -10.36 to 0.83; p=0

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

89 tween haemoglobin and mean MCAv (r = -0.589, regression coefficient = -4.68).

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

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

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

93 ression models, both in univariate analyses (regression coefficient -7.07, 95% CI -12.20 to -1.95; p=

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

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

96 was related to plasma PLP with standardized regression coefficients (95% CIs) of -0.47 (-0.49, -0.45

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

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

99 Based on the regression coefficients, a score for each PIRO component

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

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

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

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

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

105 Linear regression coefficient analysis was used to correlate pe

106 mL(-1)) is same with both the techniques but regression coefficient and limit of detection are better

107 Using the regression coefficients and centralized prognostic index

108 differences between the original and updated regression coefficients and compared the performance of

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

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

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

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

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

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

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

116 The regression coefficients are parameters of interest.

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

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

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

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

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

122 ic parameters of female sex (nonstandardized regression coefficient B: 0.44; 95%CI: 0.22, 0.66; stand

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

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

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

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

127 ent B: 0.44; 95%CI: 0.22, 0.66; standardized regression coefficient beta: 0.06; P < .001), urban regi

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

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

130 Regression coefficients (beta) and 95% confidence interv

131 were continuous, and the effect measure was regression coefficients (beta) and their 95% confidence

132 d using multivariable regression models with regression coefficients (beta) reported as change per 1

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

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

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

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

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

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

139 dependently associated with increased BASFI (regression coefficient [beta] = 1.94 [x10(-3) mm(2)/sec]

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

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

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

143 The average linear regression coefficient between template copy number and

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

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

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

147 Scaling the regression coefficients by the maximum coefficient creat

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

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

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

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

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

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

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

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

156 To test if regression coefficients differed for baseline AL-to-CR r

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

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

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

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

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

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

163 ples, the feature space was scaled using the regression coefficients fitted using a proxy dependent v

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

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

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

167 Regression coefficient for the association between pain

168 The regression coefficient for the MLP model for depth was 0

169 Regression coefficients for a one-standard-deviation inc

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

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

172 The regression coefficients for log-transformed measures (fi

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

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

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

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

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

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

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

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

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

182 Using regression coefficients from our analysis, we estimate t

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

206 erum solution is from 10 pM to 1 muM, with a regression coefficient of 0.98.

207 1pg/mL at a sensitivity of 2.02muA M(-1)at a regression coefficient of 0.99.

208 good linearity in the 0-50.0 muM range with regression coefficient of 0.9943 and a lowest detection

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

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

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

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

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

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

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

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

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

218 the multi-metabolite model weighted with the regression coefficients of metabolites in the validation

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

220 (PLS) to model the wine sensory data and the regression coefficients of PLS calibration models (R(2))

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

222 Regression coefficients of predictors in Cox proportiona

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

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

225 55 studies that had reported regression coefficients of systolic blood pressure on bi

226 We calculated weighted meta-regression coefficients of the association between stand

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

228 Once this is incorporated, median regression coefficients of the investigated population s

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

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

231 tion (i.e. by applying partial least-squares regression coefficients on a dataset distinct from the o

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

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

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

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

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

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

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

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

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

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

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

243 The regression coefficient priors are flexible enough to inc

244 tion levels at these sites weighted by their regression coefficients provide the cortical DNA methyla

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

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

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

248 variable analysis higher IOP was associated (regression coefficient r: 0.40) with the systemic parame

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

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

251 itable calibration model was based on a high regression coefficient (R(2)), and lower standard error

252 ase, only NIR showed a good performance with regression coefficients (R(2)) in range of 0.95-0.99.

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

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

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

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

257 Nine optimal wavelengths were selected by regression coefficients (RC) from the partial least squa

258 sults were expressed as odds ratios (OR) and regression coefficients (RC) with 95% confidence interva

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

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

261 ere used to create a risk score based on the regression coefficients resulting from environmental and

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

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

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

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

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

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

268 Mutation regression coefficients showed that, within a drug class

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

270 variable regression models with standardized regression coefficients (SRCs) and semipartial correlati

271 estimated with the magnitude of standardized regression coefficients (SRCs).

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

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

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

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

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

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

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

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

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

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

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

283 Associations were estimated by regression coefficients using linear and logistic regres

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

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

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

287 .4 mug L(-)(1)) and 1.7% (88.5 mug L(-)(1)), regression coefficient was 0.999 in the linear working r

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

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

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

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

292 The regression coefficients were at least 0.99 and relative

293 The highest regression coefficients were found for glutamic acid and

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

295 The logistic regression coefficients were identical between the metho

296 s of myocardial tissue, significantly higher regression coefficients were observed across ncRNA types

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

298 Moreover, the regression coefficients, which represent parameter sensi

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

300 ex of these tannins had high correlation and regression coefficients with their kinetic and thermodyn