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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                               A multivariate model that included a 4-month change in VA, DRIL, and ex
4  in an ESR1-mutant patient-derived xenograft model that included a D538G mutation.
5                                            A model that included a genetic risk score better determin
6  association with gastric adenocarcinomas; a model that included a linear and a squared term had a si
7  In each region, we applied a spatiotemporal model that included a long-term spatial mean, time trend
8  dynamics simulations using a coarse-grained model that includes a 1/r(4) potential form to generical
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                               A transmission model that includes a general model of human mobility si
12 -Infected-Recovered (SEIR)-like transmission model that includes a network of 107 provinces connected
13 nstructing and exploring a kinetic transport model that includes a slip pathway.
14                                   An initial model, that includes a simple constitutively active phos
15             Our findings favour SMC activity models that include a large conformational change in the
16 umptions hold, we argue that estimators from models that include a negative control exposure with the
17                               Performance of models that included a combination of LCM subtypes and S
18                                     Survival models that included a combination of pretreatment entro
19                                       Neuron models that included a low-threshold potassium current p
20 ationship to exposure by use of multivariate models that included a number of nongenetic factors.
21                          Hierarchical linear models that included a priori covariates and only partic
22  we applied Bayesian phylogenetic multilevel models that included a suite of environmental, spatial,
23 disability), with an additional prespecified model that included additional adjustment for baseline s
24  skeletal muscle power, as part of a complex model that includes additional modulators such as sex, a
25 s on the basis of adiposity were assessed by models that included adiposity x correction interactions
26 as inversely related with T2DM incidence--in models that included adjustment for IGF-1 concentrations
27  but only sCD30 retained significance in Cox models that included advanced age.
28 ed to develop a CMS-based 30-day readmission model that included age and comorbid conditions based on
29 Both models performed better than a baseline model that included age and study site only (AUC = 0.563
30  with T2D risk in the multivariable-adjusted model that included age, BMI, diet, and lifestyle factor
31                        In the fully adjusted model that included age, BMI, low-grade inflammation, li
32  quantitative pericardial DHE was added to a model that included age, chest pain, New York Heart Asso
33            In a multivariable Cox regression model that included age, left ventricular ejection fract
34                                         In a model that included age, race, obesity, menopausal statu
35                     In a multiple regression model that included age, sex, and assay batch as covaria
36     However, in the Cox proportional hazards model that included age, sex, baseline CD4(+) T cell cou
37  this model was more accurate than a simpler model that included age, sex, estimated GFR, and albumin
38                            In a multivariate model that included age, time to return of spontaneous c
39                                Mixed-effects models that include age, time, treatment arm, and the in
40 -2.0, -3.2 to -0.8; 0.003; 0.15, <0.0001) in models that included age at death, sex, cerebral neuriti
41 yses were performed with linear mixed effect models that included age, BMI, and sex as covariates, co
42 n and reclassification compared with reduced models that included age, sex, and discharge serum creat
43             In the fully adjusted regression model that included all dietary factors significantly as
44                               Furthermore, a model that included all feature trajectories yielded mor
45                                          The model that included all four variables proved best to id
46  analysis was a bayesian cumulative logistic model that included all patients enrolled with severe CO
47 edict amphibian occupancy with a statistical model that includes all predictors but the stressor to s
48 f microtubules, we propose here a stochastic model that includes all relevant biochemical processes t
49 ing framework focuses on developing a single model that includes all relevant predictor variables, re
50                                            A model that includes all risk factors provided a range of
51           This study presents a mathematical model that includes all the components above, as well as
52 bination of heuristic models and mechanistic models that include all relevant details of the process.
53 recipient 1-year and living donor 3-year Cox models that included all seven covariates demonstrated 8
54                          Structural equation models that included all simulated traits correctly iden
55                       Here, we propose a new model that includes allelic selection.
56 sitive correlation with bioavailability in a model that included allometric scaling.
57 owed for a median of 4.8 years, a prediction model that included amyloid PET, tau PET, and MRI cortic
58                     It was observed that the model that included an independent, spatially specific i
59 ion in seagrass loss was best explained by a model that included an interaction between two heat stre
60 verage were examined in linear mixed effects models that included an interaction term between gestati
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 y demonstrates that only with a full reactor model that includes autocatalysis with olefins as cocata
65                                            A model that included baseline platelet count and albumin
66                                            A model that included baseline platelet count, AST/ALT rat
67                               We constructed models that included baseline coverage, region, gross do
68 system dynamics with an individual-based gap model that includes basic physiology as well as species-
69                We found greater evidence for models that included Bayes optimal estimates of volatili
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 ive of 2-year survival (P = .04) in combined models that included BMI.
74 ite and cause-specific hazard ratios using a model that included body mass index (BMI; weight (kg)/he
75 f visceral adipose tissue to a multivariable model that included body mass index modestly improved ca
76                               In an adjusted model that included both actual and perceived knowledge,
77    For AAAs smaller than 50 mm, a regression model that included both baseline WSS and lumen volume p
78 del selection revealed an optimal predictive model that included both components of 18F-AV-1451 and t
79               Employing a similar regression model that included both measures, neuronal loss remaine
80 ll-validated hierarchical generalized linear model that included both patient-level and hospital-leve
81 election identifies the most support for the model that included both synchronous and asynchronous te
82 are the observed interference fringes with a model that includes both a rigorous treatment of the pep
83 novel multi-scale, agent-based computational model that includes both angiogenesis and EGFR modules t
84                                            A model that includes both habitat and climate, and their
85 ), which is a stochastic advection-diffusion model that includes both longitudinal and vertical spati
86 veloped a continuum-scale reactive transport model that includes both pathways.
87 l cardiac surgical outcomes using a new risk model that includes both procedural risk (as defined by
88                          We develop a hybrid model that includes both run and tumble behavior and het
89 atio, which is explained using a statistical model that includes both shifts of the host's ionisation
90                                              Models that include both neuronal responses and choice-h
91 herapy was then analyzed by using regression models that included both clinical factors and surgeon s
92                                           In models that included both factors, the incidence rate ra
93 nt radiative-transfer and chemical-transport models that include BrC primarily consider sources from
94 re made to an established breast cancer risk model that included breast density (Tyrer-Cuzick model,
95 nonsclerodermatous multiorgan system disease model that includes bronchiolitis obliterans (BO), depen
96  findings were implemented in a mathematical model that included cardiomyocyte-fibroblast electrical
97  These results indicated that our prognostic model that includes cell type adjustments and using Glea
98                         These data support a model that includes changes in brain bioenergetic functi
99                            In a multivariate model that included clinical and other established progn
100           The addition of plaque extent to a model that included clinical probability as well as the
101 asthma exacerbations with Poisson regression models that included clinical measures, self-reported ra
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 omparing multiple stochastic diversification models that include complex trait interactions alongside
106                    We have built statistical models that include confounding factors such as sex, age
107 malized batch corrected data, using a linear model that included considerations for disease, age, sex
108 phenologies using generalized additive mixed models that included covariates for geographical (latitu
109                          Logistic regression models that included covariates of age, height, sex, bas
110                                            A model that included creatinine clearance (R(2)CHADS(2))
111   According to the final logistic regression model that included cross-sectional area of the aortic l
112                                              Models that included CYP2B6 516/983 genotype best predic
113 ave led to the development of our management model that includes daily vacuum erection device therapy
114                                     Staffing models that include daily rounding by an intensivist, pa
115                                 A predictive model that included data on levels of AFP, ALT, and plat
116 nification factors (TMFs), and a multifactor model that included delta(15)N-derived trophic position
117                                         In a model that included demographic and cognitive variables,
118                                         In a model that included demographic characteristics, plasma
119 mpressibility is consistent with theoretical models that include detailed electronic structure.
120 re studies, we put forth a social plasticity model that includes developmentally limited enhanced soc
121       We explore the rich behaviors of these models that include discontinuous and continuous phase t
122            However, they are consistent with models that include dynamic nonlinearities.
123  in normal participants by assessing network models that include early visual cortex (EVC) and face-s
124                                           In models that included early and late ejection-phase MWS a
125 acy were examined in multivariate regression models that included eight polymorphic variants in four
126 nce of high-risk features in a multivariable model that included elevated international prognostic in
127                   We used Poisson regression models that included environmental and seasonal variable
128                     To examine this, complex models that included environmental stochasticity and den
129                   A conformational selection model that includes equilibrium constants for both G-qua
130 t is vital to have computationally efficient models that include essential biological features.
131                       Adding gait speed to a model that included estimated GFR significantly improved
132 ction models can be summarized with a single model that includes evolutionary processes acting on lat
133 gher levels of warming and at low latitudes; models that include explicit nitrogen stress project mor
134 plains another 50% of shared variants; and a model that includes extended nucleotide contexts (e.g. s
135 us from feed-forward cortical hierarchies to models that include extensive feedback (e.g., predictive
136   Using constrained linear age-period-cohort models that include family controls, we find that there
137 of Massachusetts, a population-based payment model that includes financial rewards and penalties (two
138                           A regional climate model that includes fine-scale representation of the eff
139 place-based approach to species distribution modeling that includes fine-scale factors when assessing
140 ll scales, indicating the necessity to apply models that include finer-grained assessments in fragmen
141                                              Models that include forcing by BC assume internal mixing
142 mulations were performed using a mechanistic model that includes forest dynamics, microbe-mediated bi
143                                   Speciation modeling that includes formation constants for U ternary
144  NAFLD to build a systems biology prediction model that includes functional enrichment.
145 GCCI) based on a multivariate Cox regression model that included GCC-FLV, inferior NFL quadrant thick
146 e species richness was better predicted by a model that included genetic diversity, with the more het
147 l and hematologic parameters, but innovative models that include genetic data are being developed for
148 r, direct effects of race disappeared in all models that included genetic ancestry.
149  the density of larvae was best predicted by models that included habitat features, while models inco
150 ed a series of intracellular HCV replication models that include HCV RNA secretion and/or virus assem
151 fused vasculature into a gut-on-a-chip (GOC) model that includes HIECs.
152 s replicated in a pyramidal cell-interneuron model that included I(h).
153 e an age- and strain-structured transmission model that includes immunity propagation mechanisms whic
154 ded only modest prognostic discrimination to models that included important demographic and clinical
155 s accounted for using a revised Markov-state model that included, in addition to naive and sensitized
156                                           In models that included indexes of dietary acid load instea
157 ing, evaluating and applying risk prediction models that include information from genetic testing and
158 ion, adaptive penalties may be used to favor models that include interactions derived from multiple s
159 er end-to-end distance dynamics from a Rouse model that includes internal friction.
160  We tested our MRI hypotheses with an ANCOVA model that included intracranial volume and factors used
161 re identified using Cox-proportional hazards models that included inverse probability of treatment we
162 omplete-case analysis using a random-effects model that includes IV-confounders.
163                  In unadjusted models and in models that included key clinical and demographic covari
164 rval [CI], 1.2-1.9; P = .001) in an adjusted model that included known risk factors.
165 aily PM2.5 concentrations, using a two-stage model that included land use parameters and satellite ae
166 se observations, we then built a statistical model that included levels of DHA and AA from human seru
167 ulation, IFE outcome was best predicted by a model that includes levels of free allergen-specific IgE
168                            In a multivariate model that included listing criteria, creatinine (hazard
169    These results indicate more comprehensive models that include local regulatory contexts are needed
170                              A multivariable model that included lower bulbar and gross motor subscor
171 d prognostic significance in a multivariable model that included LR-PSS and other mutations (hazard r
172                 Conclusion A risk prediction model that includes lung function has strong predictive
173                                          All modelling that includes major aboveground and belowgroun
174                             A three-variable model that included markers of endothelial dysfunction a
175                  Predictions from population models that include measured individual characteristics
176  therapy after stroke is best predicted by a model that includes measures of both neural injury and f
177 information divergence and the Yang-Prentice model that includes methods for the PH and proportional
178       Finally, we have provided a conceptual model that included microbial processes and controlling
179 2.4 min/bout for sedentary bout duration) in models that included moderate to vigorous physical activ
180      We developed a multiscale computational model that includes molecular, cellular, and tissue scal
181 er discrimination for both PFS and OS in Cox models that included MRD (as opposed to CR) for response
182                     Our results suggest that models that include multigenerational family history, su
183                               A mathematical model that includes multiple modes of PTEN regulation re
184                  Here, we designed a kinetic model that includes multistep reaction pathways for cadh
185       We investigated Tim-3 signaling in EAE models that include myelin-specific Th17, Th1, and CD8(+
186 ormation when added to a clinical prediction model that included N-terminal probrain natriuretic pept
187  proposed circuitry in a neuromuscular human model that includes neural transmission delays, musculot
188 al releases to force a global biogeochemical model that includes new estimates of the global burial i
189                             In multivariable models that included number of metastatic lymph nodes, g
190 ity worsening by use of proportional hazards models that included OCT metrics and age, disease durati
191 own improvement over conventional predictive models that include one or multiple datasets.
192  majority of neurons reached a plateau for a model that included only the first five principal compon
193            We focus on a generic and minimal model that includes only population subdivision into equ
194 models performed better in SMI compared with models that include only established CVD risk factors.
195 s are larger than expected based on existing models that include only interband transitions in ferrom
196 O3 were generally consistent compared to the models that included only O3, with the strongest aORs ob
197 tically compared this model with competitive models that included, or not, interactions between funct
198    Such behavior was well characterized by a model that includes oxygen-, substrate-, and biomass-dep
199 ed using a multivariable logistic regression model that included patient age, sex, race/ethnicity, El
200 at can be understood through a computational model that includes perceptual and acting uncertainties,
201        Here we show, using a carbon-nitrogen model that includes permafrost processes forced in an un
202 n analyzing these data; we then used a mixed model that included polygenic effects to address this pr
203                    In addition, the combined model that included polygenic hazard scores, frontal amy
204 ele-frequency spectrum (AFS) under a complex model that includes population splitting events, migrati
205  predicting postoperative PVR was better for models that included pre-existing PVR as an input.
206               A multiple logistic regression model that included predicted mortality as a covariate s
207     A later modified version of the immortal model that included preferential strand segregation was
208 sing a new rat heterotopic penile transplant model that includes preputial skin.
209                                 Conclusion A model that includes pretreatment fluorine 18-fluorodeoxy
210  this, we fit a Bayesian population dynamics model that includes process and observation error to all
211                    Here, we describe a novel model that includes processes at different spatial scale
212 ceptible groundwater, a geochemical reaction model that included pure Pb minerals and solid solutions
213       We have formulated a simple stochastic model that includes purse-string contractility, tissue f
214        A stochastic nonlinear human-mosquito model that includes rainfall and temperature covariates,
215                                      Kinetic models that include reaction pathways and rate parameter
216 esults were also described by a mathematical model that includes recent findings on the mode of bioma
217 lar dynamics simulations of a simple polymer model that includes regulatory proteins as interacting s
218 erest in a multivariable logistic regression model that included relevant patient-level sociodemograp
219 nely incorporated at the population level in models that include reproduction and death.
220 ibed using an advective-dispersive transport model that included retention and blocking.
221 ed to the experimental results, a simulation model that included rewiring considerably overestimated
222            To project future change requires modelling that includes robust parameterisation of basal
223 Ps upon oral ingestion following an in vitro model that included saliva, gastric and intestinal diges
224                                  In adjusted models that included SBP, higher total and pulsatile art
225                                An analytical model that includes scattering losses of a focused Gauss
226 ssociated with mortality in the multivariate model that included secretoneurin measurements, and N-te
227                            Here we develop a model that includes selection and homophily as independe
228 , we present a new steady-state mass balance model that includes separate compartments for fine and c
229         We introduce a vegetation-to-bedrock model that includes seven key landscape factors in order
230                               In addition, a model that included several other brain regions increase
231   Risk scores based on a standard prediction model that included sex, chemotherapy, and radiotherapy
232 hort and unexposed cohort was estimated in a model that included sex, month of birth during the same
233             We then consider a more advanced model that includes signaling and captures both stages o
234      We propose a new generalised tunnelling model that includes significant interaction between mult
235                                  Multi-locus models that included significant SNPs sequentially ident
236  were characterized in a four-path selection model that included sire(s) of bulls (SB), sire(s) of co
237                       Then, we constructed a model that includes six active ion channels to accuratel
238  the CMS model (model 1) was compared with a model that included social risk and clinical factors fro
239                In the VA, more comprehensive models that included social risk and clinical factors di
240 key component of which is a sodium reduction model that includes sodium targets for packaged foods an
241 imentary metal enrichments to a mass balance model that includes spatially variant metal burial rates
242                                     A linear model that included SS and LS accurately predicted HVPG
243 d reclassifies risk for future CVD events in models that include standard risk factors.
244               Here we develop a mathematical model that includes such stochastic population switch.
245 lative scarcity of sophisticated theoretical models that include sufficient detail to link collective
246 ubsidence, and floods using machine learning models that include support vector machine (SVM), booste
247                     Cox proportional hazards modeling that included surgery as a time-dependent covar
248                              Similarly, in a model that included systolic and diastolic blood pressur
249           In a multivariable meta-regression model that included terms for both LDL-C and triglycerid
250  is strong information-theoretic support for models that include terms that allow the spatial variati
251                            In a multivariate model that included the aforementioned variables, higher
252             We developed a simple prediction model that included the EGF genotype to identify patient
253 cally accurate three-dimensional ventricular model that included the His-Purkinje network, a slight r
254 f bladder cancer (95% CI, 2.8 to 9.7), and a model that included the methylation classification, part
255 mplex was performed by means of an atomistic model that included the tetramerization helices in the C
256 e was tested using a multivariate regression model that included the volume of non-infarcted penumbra
257 atinine and PAI-1 mRNA is as accurate as the model that includes the biopsy result.
258 to develop an ordinary differential equation model that includes the effect of cytokines on survival,
259 sh both effects, and present a thermodynamic model that includes the elastic energy of the membranes
260                                            A model that includes the interactions between IgE and IgG
261    We present a physiologically-based forest model that includes the primary functions of wood and ni
262 ect of such noise by studying a mathematical model that includes the realistic noisy opening and clos
263 es is quantitatively explained with a simple model that includes the slip velocity at the water surfa
264 resent a hypothetical extended brain network model that includes the TSNC in describing the pathophys
265 alysis can be utilized to estimate a general model that includes the well-known Pritchard-Stephens-Do
266 s the Mouse Diversity Panel (MDP), and newer models that include the Collaborative Cross (CC) and Div
267 ry calculations have been performed on large models that include the complete [NiFe] center and parts
268 lation genetics can be reconciled by genetic models that include the complexities of social species.
269                      Development of movement models that include the complexities of the external wor
270  construct time-dependent stellar population models that include the effects of long-period variable
271 on remained significant in mutually adjusted models that included the 25 x 25 factors (HR 1.26, 1.21-
272                            In random-effects models that included the 5 higher-quality studies, the p
273                            Linear regression models that included the log transformed mean ozone conc
274       In simulations, effect estimators from models that included the negative control exposure (ozon
275       Subsequently, we used Cox proportional models that included the same confounders to evaluate th
276 to 0.99) for each milk type and for a hybrid model that included them all.
277                            In a multivariate model that included these characteristics as well as cTn
278 ted geometric means were computed by using a model that included these demographic and other dietary
279                  The predictive ability of a model that included these molecular variables in combina
280                                 A regression model that included these perceptions and demographic va
281 to appropriate antibiotic use and to compare models that include these comorbidities and other patien
282 t enough to capture group behavior, but that models that include third-order interactions give a very
283 bon uptake are better represented in oceanic models that include this feedback.
284                           In a multivariable model that included time-dependent clinical events occur
285 single-channel data, we construct a new IP3R model that includes time-dependent rates of mode switche
286 ificant prognostic factors in a multivariate model that included TNM stage.
287  the invertebrate response to metal, whereas models that included total Ni or (SEM(Ni)-AVS)/f(OC) eff
288 prediction of allograft loss when added to a model that included traditional determinants of allograf
289                          In a fully adjusted model that included traditional risk factors, HDL choles
290 crimination for HF and death when added to a model that included traditional risk factors, N-terminal
291 ition of fibrosis to a recurrence prediction model that includes traditional clinical covariates resu
292 isk was observed for the land-use regression model that included traffic information (RR = 1.14, 95%
293 ormance (area under the curve) of a clinical model that included tumor size, age, and smoking status.
294 late the magnetic excitation spectra using a model that includes two essential ingredients, namely ch
295 ith versus those without SMI in multivariate models that included UKPDS Risk Engine variables were 1.
296                          Several statistical models that included VA at the previous visit were used.
297 an immunodeficiency virus (HIV) transmission models that include variability in sexual behavior over
298 In this paper, we develop an epidemiological model that includes various controlling measures to syst
299  affects deeply most of the marine ecosystem models that include viruses, especially when used to ans
300 al in multivariable Cox proportional hazards models that included weight and body mass index (BMI).

 
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