ライフサイエンスコーパス: model that include

1 multivariate conditional logistic regression models that included 1 eye from each patient.

2 y expressed probe sets, resulting in a final model that included 10 probe sets and had 100% training

3 Using these data, we built a genetic model that includes 150 single-nucleotide polymorphisms

4 A multivariate model that included a 4-month change in VA, DRIL, and ex

5 in an ESR1-mutant patient-derived xenograft model that included a D538G mutation.

6 A model that included a genetic risk score better determin

7 association with gastric adenocarcinomas; a model that included a linear and a squared term had a si

8 In each region, we applied a spatiotemporal model that included a long-term spatial mean, time trend

9 By using a theoretical model that includes a bridging fibre, we show that the f

10 Based on these studies, I summarize a model that includes a combination of intersegmental tran

11 st that the profiles are best explained by a model that includes a long-range cross-bridge effect tha

12 nsemble of experiments with a global climate model that includes a vegetation component to assess the

13 An initial model, that includes a simple constitutively active phos

14 umptions hold, we argue that estimators from models that include a negative control exposure with the

15 Performance of models that included a combination of LCM subtypes and S

16 Survival models that included a combination of pretreatment entro

17 ationship to exposure by use of multivariate models that included a number of nongenetic factors.

18 Hierarchical linear models that included a priori covariates and only partic

19 s on the basis of adiposity were assessed by models that included adiposity x correction interactions

20 as inversely related with T2DM incidence--in models that included adjustment for IGF-1 concentrations

21 ions largely persisted, both in multivariate models that included adjustments for the child's age, ch

22 but only sCD30 retained significance in Cox models that included advanced age.

23 ed to develop a CMS-based 30-day readmission model that included age and comorbid conditions based on

24 Both models performed better than a baseline model that included age and study site only (AUC = 0.563

25 with T2D risk in the multivariable-adjusted model that included age, BMI, diet, and lifestyle factor

26 In the fully adjusted model that included age, BMI, low-grade inflammation, li

27 quantitative pericardial DHE was added to a model that included age, chest pain, New York Heart Asso

28 In a multivariable Cox regression model that included age, left ventricular ejection fract

29 s independently prognostic in a multivariate model that included age, pretreatment clinical stage, ho

30 In a model that included age, race, obesity, menopausal statu

31 ample, they did not improve the ability of a model that included age, sex, and APOE to predict incide

32 In a multiple regression model that included age, sex, and assay batch as covaria

33 However, in the Cox proportional hazards model that included age, sex, baseline CD4(+) T cell cou

34 this model was more accurate than a simpler model that included age, sex, estimated GFR, and albumin

35 In models that include age, blood pressure, and smoking sta

36 -2.0, -3.2 to -0.8; 0.003; 0.15, <0.0001) in models that included age at death, sex, cerebral neuriti

37 In adjusted models that included age of the other parent and demogra

38 yses were performed with linear mixed effect models that included age, BMI, and sex as covariates, co

39 In multivariable models that included age, body mass index, and cumulativ

40 n and reclassification compared with reduced models that included age, sex, and discharge serum creat

41 In the fully adjusted regression model that included all dietary factors significantly as

42 Furthermore, a model that included all feature trajectories yielded mor

43 In an adjusted model that included all polymorphisms, SLC1:199/199, SLC

44 To test this, we constructed a model that included all preneural losses for an in vitro

45 edict amphibian occupancy with a statistical model that includes all predictors but the stressor to s

46 f microtubules, we propose here a stochastic model that includes all relevant biochemical processes t

47 ing framework focuses on developing a single model that includes all relevant predictor variables, re

48 A model that includes all risk factors provided a range of

49 This study presents a mathematical model that includes all the components above, as well as

50 Mechanistic stochastic models that include all of these factors have not previo

51 bination of heuristic models and mechanistic models that include all relevant details of the process.

52 ignificantly increased predictive ability in models that include all three of the genetic, environmen

53 ictors for overall survival in multivariable models that included all clinical factors and genotypes

54 recipient 1-year and living donor 3-year Cox models that included all seven covariates demonstrated 8

55 recipient 1-year and living donor 3-year Cox models that included all seven covariates demonstrated 8

56 Structural equation models that included all simulated traits correctly iden

57 sitive correlation with bioavailability in a model that included allometric scaling.

58 It was observed that the model that included an independent, spatially specific i

59 dding a new risk marker to a risk prediction model that includes an established set of markers.

60 ng an intermediate-complexity global climate model that includes an interactive carbon cycle.

61 predictive of IMA failure in an alternative model that included angiographic failure or death before

62 A regression model that included APOA1 gene expression and microbial

63 valuate the prediction quality of regression models that include as covariates single-nucleotide poly

64 Models that included ASA and FHS exhibited slightly bett

65 and used to dynamically update a likelihood model that includes authorship, journal and PubMed index

66 A model that included baseline platelet count and albumin

67 A model that included baseline platelet count, AST/ALT rat

68 We constructed models that included baseline coverage, region, gross do

69 system dynamics with an individual-based gap model that includes basic physiology as well as species-

70 These results also hold in models that include binocular disparity computations, pr

71 nt will spread is evaluated here by a simple model that includes biological and therapeutic parameter

72 re associated with incident hypertension (in models that included blood pressure and tonometry measur

73 ite and cause-specific hazard ratios using a model that included body mass index (BMI; weight (kg)/he

74 f visceral adipose tissue to a multivariable model that included body mass index modestly improved ca

75 her the predictive accuracy of a statistical model that included both absolute PSA level and a PSA dy

76 In an adjusted model that included both actual and perceived knowledge,

77 In a model that included both definitions, the risk with GUST

78 Employing a similar regression model that included both measures, neuronal loss remaine

79 ll-validated hierarchical generalized linear model that included both patient-level and hospital-leve

80 election identifies the most support for the model that included both synchronous and asynchronous te

81 Our results suggest that an LAS model that includes both 6-MWD and mRAP better discrimin

82 novel multi-scale, agent-based computational model that includes both angiogenesis and EGFR modules t

83 ), which is a stochastic advection-diffusion model that includes both longitudinal and vertical spati

84 veloped a continuum-scale reactive transport model that includes both pathways.

85 l cardiac surgical outcomes using a new risk model that includes both procedural risk (as defined by

86 Both trends are explained by a model that includes both tethered vesicle diffusion on t

87 The results support memory models that include both a continuous familiarity proces

88 consistent with predictions from poroelastic models that include both cytoskeletal deformation and fl

89 and evaluate computer-aided diagnosis (CAD) models that include both mammographic and sonographic de

90 herapy was then analyzed by using regression models that included both clinical factors and surgeon s

91 In models that included both factors, the incidence rate ra

92 In models that included both individual and neighborhood SE

93 nt radiative-transfer and chemical-transport models that include BrC primarily consider sources from

94 findings were implemented in a mathematical model that included cardiomyocyte-fibroblast electrical

95 In logistic regression models that included case mix and available surrogates o

96 These results indicated that our prognostic model that includes cell type adjustments and using Glea

97 These data support a model that includes changes in brain bioenergetic functi

98 In a multivariate model that included clinical and other established progn

99 The addition of plaque extent to a model that included clinical probability as well as the

100 mprehensive multiple-variable Cox regression model that included clinical prognostic variables, B-typ

101 ependent prognostic factor in a multivariate model that included clinical risk stratification (P < .0

102 Logistic regression models that included clinical, demographic, and environm

103 In Cox models that included codeletion status, the adjusted OS

104 xposures were estimated using spatiotemporal models that included cohort-specific measurements.

105 nocapillary is used in an equivalent circuit model that included contributions from the membrane and

106 7.7 years of follow-up using Cox regression models that included covariates as time-dependent variab

107 Logistic regression models that included covariates of age, height, sex, bas

108 A model that included creatinine clearance (R(2)CHADS(2))

109 According to the final logistic regression model that included cross-sectional area of the aortic l

110 Models that included CYP2B6 516/983 genotype best predic

111 ave led to the development of our management model that includes daily vacuum erection device therapy

112 Staffing models that include daily rounding by an intensivist, pa

113 A predictive model that included data on levels of AFP, ALT, and plat

114 nification factors (TMFs), and a multifactor model that included delta(15)N-derived trophic position

115 In a model that included demographic and cognitive variables,

116 In a model that included demographic characteristics, plasma

117 re studies, we put forth a social plasticity model that includes developmentally limited enhanced soc

118 We explore the rich behaviors of these models that include discontinuous and continuous phase t

119 in normal participants by assessing network models that include early visual cortex (EVC) and face-s

120 In models that included early and late ejection-phase MWS a

121 acy were examined in multivariate regression models that included eight polymorphic variants in four

122 nce of high-risk features in a multivariable model that included elevated international prognostic in

123 We used Poisson regression models that included environmental and seasonal variable

124 To examine this, complex models that included environmental stochasticity and den

125 t is vital to have computationally efficient models that include essential biological features.

126 Adding gait speed to a model that included estimated GFR significantly improved

127 gher levels of warming and at low latitudes; models that include explicit nitrogen stress project mor

128 us from feed-forward cortical hierarchies to models that include extensive feedback (e.g., predictive

129 Using constrained linear age-period-cohort models that include family controls, we find that there

130 A regional climate model that includes fine-scale representation of the eff

131 place-based approach to species distribution modeling that includes fine-scale factors when assessing

132 ll scales, indicating the necessity to apply models that include finer-grained assessments in fragmen

133 ning parabolic potential is well fitted by a model that includes finite damping at zero temperature.

134 Models that include forcing by BC assume internal mixing

135 Speciation modeling that includes formation constants for U ternary

136 cantly improved the predictive accuracy of a model that included Framingham Heart Study score factors

137 GCCI) based on a multivariate Cox regression model that included GCC-FLV, inferior NFL quadrant thick

138 We use a biologically realistic evolutionary model that includes gene expression, regulation, metabol

139 e species richness was better predicted by a model that included genetic diversity, with the more het

140 l and hematologic parameters, but innovative models that include genetic data are being developed for

141 r, direct effects of race disappeared in all models that included genetic ancestry.

142 the density of larvae was best predicted by models that included habitat features, while models inco

143 In separate modeling that included HLA genes, HLA alleles DRB1*0802

144 measures demonstrating strong preference for models that include hsCRP.

145 s replicated in a pyramidal cell-interneuron model that included I(h).

146 Multivariate logistic regression models that included important covariates were assessed

147 ded only modest prognostic discrimination to models that included important demographic and clinical

148 s accounted for using a revised Markov-state model that included, in addition to naive and sensitized

149 In models that included indexes of dietary acid load instea

150 ing, evaluating and applying risk prediction models that include information from genetic testing and

151 er end-to-end distance dynamics from a Rouse model that includes internal friction.

152 We tested our MRI hypotheses with an ANCOVA model that included intracranial volume and factors used

153 re identified using Cox-proportional hazards models that included inverse probability of treatment we

154 omplete-case analysis using a random-effects model that includes IV-confounders.

155 In unadjusted models and in models that included key clinical and demographic covari

156 rval [CI], 1.2-1.9; P = .001) in an adjusted model that included known risk factors.

157 aily PM2.5 concentrations, using a two-stage model that included land use parameters and satellite ae

158 ed the prediction from LBW and depression in models that included LBW only, LBW plus other prenatal a

159 se observations, we then built a statistical model that included levels of DHA and AA from human seru

160 In a multivariate model that included listing criteria, creatinine (hazard

161 These results indicate more comprehensive models that include local regulatory contexts are needed

162 A multivariable model that included lower bulbar and gross motor subscor

163 d prognostic significance in a multivariable model that included LR-PSS and other mutations (hazard r

164 Conclusion A risk prediction model that includes lung function has strong predictive

165 All modelling that includes major aboveground and belowgroun

166 Predictions from population models that include measured individual characteristics

167 therapy after stroke is best predicted by a model that includes measures of both neural injury and f

168 Finally, we have provided a conceptual model that included microbial processes and controlling

169 Multivariate models that include MMP-3 and CTX-II perform better than

170 2.4 min/bout for sedentary bout duration) in models that included moderate to vigorous physical activ

171 We developed a multiscale computational model that includes molecular, cellular, and tissue scal

172 er discrimination for both PFS and OS in Cox models that included MRD (as opposed to CR) for response

173 A mathematical model that includes multiple modes of PTEN regulation re

174 Here, we designed a kinetic model that includes multistep reaction pathways for cadh

175 We investigated Tim-3 signaling in EAE models that include myelin-specific Th17, Th1, and CD8(+

176 ormation when added to a clinical prediction model that included N-terminal probrain natriuretic pept

177 nnels can be accounted for by a Markov state model that includes negative cooperativity of agonist bi

178 proposed circuitry in a neuromuscular human model that includes neural transmission delays, musculot

179 al releases to force a global biogeochemical model that includes new estimates of the global burial i

180 In multivariable models that included number of metastatic lymph nodes, g

181 he experimental data were only well fit by a model that included OCC mass.

182 ity worsening by use of proportional hazards models that included OCT metrics and age, disease durati

183 nd a PSA dynamic was compared with that of a model that included only PSA.

184 majority of neurons reached a plateau for a model that included only the first five principal compon

185 We focus on a generic and minimal model that includes only population subdivision into equ

186 models performed better in SMI compared with models that include only established CVD risk factors.

187 s are larger than expected based on existing models that include only interband transitions in ferrom

188 O3 were generally consistent compared to the models that included only O3, with the strongest aORs ob

189 tically compared this model with competitive models that included, or not, interactions between funct

190 Such behavior was well characterized by a model that includes oxygen-, substrate-, and biomass-dep

191 ed using a multivariable logistic regression model that included patient age, sex, race/ethnicity, El

192 at can be understood through a computational model that includes perceptual and acting uncertainties,

193 Here we show, using a carbon-nitrogen model that includes permafrost processes forced in an un

194 n analyzing these data; we then used a mixed model that included polygenic effects to address this pr

195 ele-frequency spectrum (AFS) under a complex model that includes population splitting events, migrati

196 A multiple logistic regression model that included predicted mortality as a covariate s

197 A later modified version of the immortal model that included preferential strand segregation was

198 ed, with a multivariable logistic regression model that included pretreatment and treatment potential

199 this, we fit a Bayesian population dynamics model that includes process and observation error to all

200 ic suppression in a Cox proportional hazards model that included propensity score for pregnancy, preg

201 We have formulated a simple stochastic model that includes purse-string contractility, tissue f

202 In a multiple regression model that included quantitative CT pixel distributions,

203 A stochastic nonlinear human-mosquito model that includes rainfall and temperature covariates,

204 Kinetic models that include reaction pathways and rate parameter

205 esults were also described by a mathematical model that includes recent findings on the mode of bioma

206 nely incorporated at the population level in models that include reproduction and death.

207 ibed using an advective-dispersive transport model that included retention and blocking.

208 ed to the experimental results, a simulation model that included rewiring considerably overestimated

209 y was to develop risk-adjusted multivariable models that include risk factors and coronary artery cal

210 To project future change requires modelling that includes robust parameterisation of basal

211 Ps upon oral ingestion following an in vitro model that included saliva, gastric and intestinal diges

212 In adjusted models that included SBP, higher total and pulsatile art

213 An analytical model that includes scattering losses of a focused Gauss

214 ssociated with mortality in the multivariate model that included secretoneurin measurements, and N-te

215 Here we develop a model that includes selection and homophily as independe

216 tion in the United Kingdom is now based on a model that includes serum sodium.

217 In addition, a model that included several other brain regions increase

218 Risk scores based on a standard prediction model that included sex, chemotherapy, and radiotherapy

219 hort and unexposed cohort was estimated in a model that included sex, month of birth during the same

220 We then consider a more advanced model that includes signaling and captures both stages o

221 We propose a new generalised tunnelling model that includes significant interaction between mult

222 Multi-locus models that included significant SNPs sequentially ident

223 were characterized in a four-path selection model that included sire(s) of bulls (SB), sire(s) of co

224 the CMS model (model 1) was compared with a model that included social risk and clinical factors fro

225 In the VA, more comprehensive models that included social risk and clinical factors di

226 key component of which is a sodium reduction model that includes sodium targets for packaged foods an

227 n a model of total genetic replacement and a model that includes some degree of genetic mixture.

228 imentary metal enrichments to a mass balance model that includes spatially variant metal burial rates

229 se questions by using a simple computational model that includes specifically designed interacting mo

230 A linear model that included SS and LS accurately predicted HVPG

231 dition of the number of altered markers to a model that included standard predictors significantly en

232 d reclassifies risk for future CVD events in models that include standard risk factors.

233 Here we develop a mathematical model that includes such stochastic population switch.

234 arameter spaces for quantitative trait locus models that include such interactions.

235 Cox proportional hazards modeling that included surgery as a time-dependent covar

236 Similarly, in a model that included systolic and diastolic blood pressur

237 is strong information-theoretic support for models that include terms that allow the spatial variati

238 In a multivariate model that included the aforementioned variables, higher

239 We developed a simple prediction model that included the EGF genotype to identify patient

240 cally accurate three-dimensional ventricular model that included the His-Purkinje network, a slight r

241 We searched for the model that included the items and their generated weight

242 f bladder cancer (95% CI, 2.8 to 9.7), and a model that included the methylation classification, part

243 mplex was performed by means of an atomistic model that included the tetramerization helices in the C

244 e was tested using a multivariate regression model that included the volume of non-infarcted penumbra

245 atinine and PAI-1 mRNA is as accurate as the model that includes the biopsy result.

246 nterpret the data with an alternating access model that includes the closing and opening of an extrac

247 -RNA, cirrhosis, and SVR with a mathematical model that includes the critical-drug efficacy (epsilonc

248 , cattle, and pastoralists and a bioeconomic model that includes the demographic models as dynamic co

249 to develop an ordinary differential equation model that includes the effect of cytokines on survival,

250 Here, we construct a matrix model that includes the effects of a recent change in po

251 We propose a "recycling" model that includes the efflux of macromolecules from th

252 sh both effects, and present a thermodynamic model that includes the elastic energy of the membranes

253 und that the results are well described by a model that includes the electronnuclear spin interaction

254 ecovery behavior, we form a feedback control model that includes the fly's ability to sense body rota

255 ne-dimensional asymmetric periodic potential model that includes the influence of the AC voltage.

256 A model that includes the interactions between IgE and IgG

257 We present a physiologically-based forest model that includes the primary functions of wood and ni

258 es is quantitatively explained with a simple model that includes the slip velocity at the water surfa

259 resent a hypothetical extended brain network model that includes the TSNC in describing the pathophys

260 alysis can be utilized to estimate a general model that includes the well-known Pritchard-Stephens-Do

261 s the Mouse Diversity Panel (MDP), and newer models that include the Collaborative Cross (CC) and Div

262 ry calculations have been performed on large models that include the complete [NiFe] center and parts

263 lation genetics can be reconciled by genetic models that include the complexities of social species.

264 Development of movement models that include the complexities of the external wor

265 construct time-dependent stellar population models that include the effects of long-period variable

266 re we develop simple one-dimensional thermal models that include the effects of melt migration.

267 on remained significant in mutually adjusted models that included the 25 x 25 factors (HR 1.26, 1.21-

268 In random-effects models that included the 5 higher-quality studies, the p

269 ement in risk classification with the use of models that included the genotype score, as compared wit

270 Linear regression models that included the log transformed mean ozone conc

271 In simulations, effect estimators from models that included the negative control exposure (ozon

272 Subsequently, we used Cox proportional models that included the same confounders to evaluate th

273 In a multivariate model that included these characteristics as well as cTn

274 ted geometric means were computed by using a model that included these demographic and other dietary

275 The predictive ability of a model that included these molecular variables in combina

276 A regression model that included these perceptions and demographic va

277 t enough to capture group behavior, but that models that include third-order interactions give a very

278 A theoretical model that includes this "nonadiabatic" mechanism appear

279 bon uptake are better represented in oceanic models that include this feedback.

280 ly suggest the need for improved force field models that include three-atom hydrogen-bonding terms fo

281 In a multivariable model that included time-dependent clinical events occur

282 single-channel data, we construct a new IP3R model that includes time-dependent rates of mode switche

283 ificant prognostic factors in a multivariate model that included TNM stage.

284 the invertebrate response to metal, whereas models that included total Ni or (SEM(Ni)-AVS)/f(OC) eff

285 prediction of allograft loss when added to a model that included traditional determinants of allograf

286 In a fully adjusted model that included traditional risk factors, HDL choles

287 crimination for HF and death when added to a model that included traditional risk factors, N-terminal

288 ition of fibrosis to a recurrence prediction model that includes traditional clinical covariates resu

289 isk was observed for the land-use regression model that included traffic information (RR = 1.14, 95%

290 We assemble a Markov model that includes transitions ranging from the nanosec

291 ormance (area under the curve) of a clinical model that included tumor size, age, and smoking status.

292 ith versus those without SMI in multivariate models that included UKPDS Risk Engine variables were 1.

293 After adjusting for severity of illness in a model that included urea and creatinine on admission, od

294 Several statistical models that included VA at the previous visit were used.

295 To use primary productivity models that include variability in iron supply in predic

296 an immunodeficiency virus (HIV) transmission models that include variability in sexual behavior over

297 ge was calculated from a multilevel logistic model that included variables assessing clinical uncerta

298 Cox proportional hazards regression models that included variables for increments of cigaret

299 In this paper, we develop an epidemiological model that includes various controlling measures to syst

300 affects deeply most of the marine ecosystem models that include viruses, especially when used to ans