1 al stacking in state-of-the-art 64-layer and
multilevel 3D-NAND flash memory(19).
2 s and outlining the importance of integrated
multilevel analyses for proper QDs risk assessment.
3 Using
multilevel analyses in study 2, we demonstrate that thes
4 Multilevel analyses were able to detect, confirm and dif
5 Multilevel analysis indicated that, after controlling co
6 Here, we performed a
multilevel analysis of leaf shape using diverse accessio
7 This study is a cross-sectional,
multilevel analysis of the 2010-11 Mental Health Minimum
8 ouse visual system has become a platform for
multilevel analysis of the mammalian central nervous sys
9 A systematic
multilevel analysis was carried out in vivo, ex vivo, an
10 A
multilevel analysis was conducted to examine the hypothe
11 At the
multilevel analysis, history of periodontitis, sinus ele
12 nts in volunteers was assessed with Bayesian
multilevel analysis, which revealed an increase between
13 tion detection eliminated the requirement of
multilevel and multicompound calibration, it enabled the
14 ants of physical activity in adolescents are
multilevel and poorly understood, but the school's socia
15 We characterized these mice by a
multilevel approach combining genetics, cell biology, el
16 health researchers may benefit from taking a
multilevel approach for addressing disparities in sleep
17 Our results show that a
multilevel approach linking satellite and household data
18 ing so, they illustrate the value of using a
multilevel approach to study human behavior.
19 n a rural area of western Kenya when using a
multilevel approach.
20 proaches to effective implementation include
multilevel approaches, stakeholder engagement, and susta
21 evident in an established set of multiactor,
multilevel arrangements addressing marine, terrestrial,
22 Here we used a
multilevel Bayesian analysis of range-wide survey data f
23 We used
multilevel binary logistic regression models adjusted fo
24 and late childhood (10.0-18.0 years), using
multilevel binary logistic regression models with a rand
25 d urban units were examined separately using
multilevel binomial regression in which within-unit chan
26 When sustained, however, this
multilevel biological threat response can increase indiv
27 ase, (iii) neuronal integration failure of a
multilevel brain network will occur and affect one or nu
28 provides one of the best documented cases of
multilevel camouflage accuracy in geographically widespr
29 The DVUA-MSPD factors were screened by a
multilevel categorical design, and then optimized by Box
30 metabolomics to characterize the coordinated
multilevel cellular responses that occur when mitochondr
31 , demonstrating the feasibility to achieve a
multilevel comprehensive characterization of mAbs.
32 rs, as well as some evidence of more complex
multilevel configurations that may indicate integrated s
33 ultiple functional territories involved with
multilevel control of behavior.
34 single essential target but rather from the
multilevel control of complex homeostatic processes.
35 abolic enzymes and their products also exert
multilevel control of NF-kappaB activity, thereby creati
36 The primary model was
multilevel Cox proportional hazards regression adjusted
37 Results of
multilevel Cox regression analyses revealed a statistica
38 The
multilevel Cox regression models investigated the influe
39 We fitted
multilevel Cox regression models to analyze the data.
40 We fitted
multilevel Cox regression models to estimate hazard rati
41 Generalized additive mixed models and
multilevel cross-sectional and longitudinal mediation mo
42 genes, can physically interact, and exhibit
multilevel cross-talk regulating cell fate-determining a
43 l applications in neuromorphic computing and
multilevel data storage, as well as applications that re
44 The generic approach is applicable to other
multilevel data-based risk prediction settings, which ty
45 mory), and (3) sequential monitoring without
multilevel decision making (i.e., task execution).
46 oviding essentially lossless transmission in
multilevel designs.
47 Multilevel diffractive lenses (MDLs) have emerged as an
48 using a single polymer flat lens based upon
multilevel diffractive optics.
49 cations, contributing to the exposure of the
multilevel diversity of protein complexes.
50 has enabled the derivation of individualized
multilevel dynamic representations of rhythms of multipl
51 Multilevel enablers, including poverty reduction, improv
52 These results provide
multilevel evidence for genes/loci influencing EL.
53 m conventional force-field fitting, we use a
multilevel evolutionary strategy that trains CG models a
54 This extensive and
multilevel examination of leaf shape shows an important
55 A
multilevel exponential random graph model (MERGM) was de
56 solving powers for chemical profiling from a
multilevel factorial experimental design using 2 factors
57 should focus on socioeconomic, cultural, and
multilevel factors.
58 6 to 40 weeks' gestation were analysed using
multilevel fractional polynomial models.
59 We then apply our
multilevel framework to examine balance in temporal and
60 Altogether, results from these
multilevel functional studies are bringing strong eviden
61 Here, our
multilevel functional studies are bringing strong eviden
62 Multilevel generalized linear models were used to evalua
63 g local and regional organizations (i.e., in
multilevel governance settings).
64 Based on
multilevel growth curve analysis, there was no statistic
65 tical early diagnosis scheme within existing
multilevel health-care infrastructure.
66 nding physicians, residents, and nurses in a
multilevel healthcare system likely to participate in an
67 Multilevel hierarchical regression was used to account f
68 The
multilevel,
hospital-wide, high-fidelity PEGASUS program
69 emical analysis suggests that this defect is
multileveled,
including changes in expression and activi
70 s from malignant cells that exist in dynamic
multilevel interactions with the host tissue.
71 o be a comprehensive and comparative lagged,
multilevel investigation of major social determinants of
72 Here, we performed a
multilevel investigation of structural attributes, chemi
73 2012, 2015) and created by applying Bayesian
multilevel Item Response Theory (IRT).
74 Besides improving the AUC, our integrative
multilevel learning approach led to tighter CIs than usi
75 iation between LGE-CMR intensity and CV with
multilevel linear mixed models.
76 rtifact on OCT reliability, we (1) created a
multilevel linear model using measured RNFL thickness va
77 eliability measure, and (3) created a second
multilevel linear model with splines and interaction ter
78 Using a dyadic
multilevel linear modeling approach, treating body mass
79 trines with and without a sand barrier using
multilevel linear models and reported cluster robust sta
80 le, and 95th percentile were estimated using
multilevel linear models.
81 Hierarchical
multilevel linear regression of 216,350 assessments made
82 ase, and retinal markers were analyzed using
multilevel linear regression, adjusted for age, gender,
83 al vasculometry outcomes were analyzed using
multilevel linear regression, adjusted for age, sex, hei
84 We used
multilevel log-linear regression to model resource use a
85 ally controllable functional elements in the
multilevel logic nanoelectronics devices.
86 Subsequently, a
multilevel logistic mixed-effect model was built to anal
87 Multilevel logistic models and intraclass correlation co
88 ng data from SEER and Medicare, we conducted
multilevel logistic regression analyses to compare chron
89 We compared two sets of
multilevel logistic regression analyses, using (a) indiv
90 Chi-square tests and
multilevel logistic regression analysis were used to exa
91 on 30-day readmission risk was evaluated by
multilevel logistic regression analysis.
92 lating standardised prescription rates using
multilevel logistic regression and adjusted for general
93 We used
multilevel logistic regression and found that good ratin
94 proximity and diarrhea was estimated with a
multilevel logistic regression model accounting for spat
95 full professorship was estimated by using a
multilevel logistic regression model adjusting for these
96 A multivariable
multilevel logistic regression model was used to estimat
97 A
multilevel logistic regression model was used to test th
98 Expected mortality was obtained from
multilevel logistic regression model, adjusting for demo
99 reaks in poultry farms was evaluated using a
multilevel logistic regression model.
100 We estimated
multilevel logistic regression models for any IPV and ea
101 Multilevel logistic regression models revealed that pati
102 We used
multilevel logistic regression models to evaluate the im
103 med difference-in-differences analyses using
multilevel logistic regression models to quantify the ef
104 Multilevel logistic regression models were fitted to inv
105 rum creatinine at 6 months postdonation, and
multilevel logistic regression models were used to estim
106 Multilevel logistic regression models were used to obtai
107 We specified
multilevel logistic regression models with random effect
108 eans of generalized estimation equations and
multilevel logistic regression models.
109 demic allergy and immunology workforce using
multilevel logistic regression models.
110 mes were assessed in crude and multivariable
multilevel logistic regression models.
111 We used
multilevel logistic regression to assess facility and pr
112 We used negative binomial regression and
multilevel logistic regression to compare offer and acce
113 We used
multilevel logistic regression to determine characterist
114 performed a retrospective cohort study using
multilevel logistic regression, with MAC use modeled as
115 atus with receiving ATG (versus IL2RA) using
multilevel logistic regression.
116 IL2RA) using
multilevel logistic regression.
117 DESIGN, SETTING, AND PARTICIPANTS: A
multilevel longitudinal cohort drawn from 3 waves of the
118 53 activity is finely modulated by different
multilevel mechanisms during IAV infection.
119 uman animals, presaging the development of a
multilevel mechanistic account that spans the cognitive,
120 vice that can operate as an energy efficient
multilevel memory cell.
121 t, and suicidal ideation were analyzed using
multilevel meta-analyses to accommodate the non-independ
122 nd to identify moderators of this risk using
multilevel meta-analysis.
123 Here, we present a novel
multilevel metal interconnect scheme that involves solve
124 Multilevel metal interconnects are crucial for the devel
125 In response,
multilevel mitigation strategies are being adopted but w
126 Multilevel mixed effect logistic regression modeling and
127 We used
multilevel mixed effects logistic regression models to e
128 Multilevel mixed effects logistic regression was used to
129 ether patients underwent RRD repair and used
multilevel mixed effects multinomial models to character
130 yndromic surveillance: the 'rising activity,
multilevel mixed effects, indicator emphasis' (RAMMIE) m
131 Multilevel mixed linear models (to account for the inclu
132 Multilevel mixed linear models were performed for analys
133 ients with or without DM were compared using
multilevel mixed-effect regression models with robust st
134 Multilevel mixed-effects linear regression models examin
135 hospitalization factors were examined using
multilevel mixed-effects logistic regression and multile
136 alternative vasopressors was assessed and a
multilevel mixed-effects logistic regression model was u
137 with the odds of being deported by applying
multilevel mixed-effects logistic regression models to d
138 th worker and facility characteristics using
multilevel mixed-effects logistic regression models.
139 We estimated time trends using
multilevel mixed-effects modelling.
140 Multilevel mixed-effects models were used to determine h
141 ilevel mixed-effects logistic regression and
multilevel mixed-effects ordinal logistic regression.
142 ne contact with mental health services using
multilevel mixed-effects regression adjusted for sociode
143 Multilevel mixed-effects regression determined differenc
144 istics and risk of death of deported Jews in
multilevel mixed-effects Weibull regression models.
145 A
multilevel,
mixed-effects linear regression with intenti
146 revalence and incidence were evaluated using
multilevel,
mixed-effects linear/logistic regression mod
147 Readmission risk was determined using
multilevel,
mixed-effects Poisson regression.
148 o complementary analysis models were used: a
multilevel model (MLM) and a continuous Markov model.
149 We used a 3-level
multilevel model nesting repeated measures of outcomes w
150 pathways, and neural circuitry to propose a
multilevel model that addresses the impact of a diverse
151 In a
multilevel model, 5.19% (intraclass correlation coeffici
152 Multilevel modeling analysis was undertaken as patients
153 Using
multilevel modeling and linear regression, we found that
154 Using a
multilevel modeling approach, we combined long-term seed
155 analysis, logistic regression analysis, and
multilevel modeling for repeated measures.
156 Multilevel modeling found, as expected, a highly signifi
157 fit and accuracy of the movement model in a
multilevel modeling framework with more detail than esta
158 cted mean deviation (MD) was calculated with
multilevel modeling of longitudinal data.
159 Multilevel modeling that accounted for age, sex, race, a
160 Multilevel modeling was used to estimate facility-level
161 ng diffusion-weighted imaging and voxel-wise
multilevel modeling, the effects of familial alcoholism
162 In multivariable
multilevel modeling, UN >0.52 g/L was independently asso
163 data collected prospectively across life and
multilevel modeling, we investigated how the relationshi
164 FN, FL, and TD on DeltaMD was assessed using
multilevel modeling.
165 l for dyadic interdependence, we performed a
multilevel modelling analysis.
166 We analysed the outcome data with
multilevel modelling and present data with the summary s
167 We used
multilevel modelling and tests for interaction to invest
168 ith frontier settlement theory, results from
multilevel modelling revealed that mountainous areas wer
169 Multilevel modelling showed that women showed significan
170 Moderators were analysed using
multilevel modelling with multiple imputation.
171 For the primary endpoint,
multilevel modelling yielded significantly higher averag
172 Results were analysed in SPSS (v26) through
multilevel modelling.
173 nd urban or rural residence were fitted with
multilevel modelling.
174 actitioner (GP) practices into account using
multilevel modelling.
175 rowth curves (depressive symptoms), logistic
multilevel models (self-harm in the previous year at age
176 e findings can contribute to the analysis of
multilevel models across systems.
177 Multilevel models tested temporal associations of nightl
178 ion status, we applied Bayesian phylogenetic
multilevel models that included a suite of environmental
179 data using Poisson and piecewise exponential
multilevel models to assess the associations between pat
180 We used
multilevel models to calculate risk- and reliability-adj
181 y conducted around the 2016 election, we use
multilevel models to show that the politically charged e
182 ta analyses of the raw plot-scale data using
multilevel models were also susceptible to scale-depende
183 Multilevel models were applied with MLwiN to estimate va
184 Multilevel models were constructed to examine change ove
185 Multilevel models were used to assess the associations b
186 Multilevel models were used to assess: (i) changes in ho
187 Multilevel models were used to characterize county-level
188 Multiple membership
multilevel models were used to evaluate the associations
189 Multilevel models were used to examine the association b
190 Analyses were linear
multilevel models with growth curves (depressive symptom
191 ences on allergen levels were analyzed using
multilevel models.
192 MI were examined using linear regression and
multilevel models.
193 Heterogeneity was performed adjusting
multilevel models.
194 consumption of the WD resulted in integrated
multilevel molecular regulation of the hippocampal micro
195 ypticity represents a continuum when a finer
multilevel morphological and molecular scale is applied
196 Single-level and
multilevel multi-nominal logistic regression models and
197 inning change: (1) multisectoral action, (2)
multilevel,
multistakeholder involvement, (3) diversifie
198 le-location level, by developing a series of
multilevel multivariable logistic regression models and
199 Multilevel multivariable logistic regression models were
200 Multilevel multivariable models were used to estimate th
201 We used
multilevel multivariable ordinal logistic regression to
202 We used
multilevel multivariable regression modeling to assess t
203 Unadjusted and
multilevel,
multivariable adjusted models were used to m
204 Multilevel,
multivariable logistic models were employed,
205 ns with use of propensity score matching and
multilevel,
multivariable logistic regression.
206 Multilevel,
multivariable modeling measured the adjusted
207 Observational longitudinal study with
multilevel,
multivariable modeling to investigate associ
208 c n = 70, 26%; femoropopliteal n = 115, 43%;
multilevel n = 69, 26%; rest n = 13, 5%).
209 A
multilevel negative binomial model was fitted to the dat
210 The use of
multilevel network analysis represents a step toward unp
211 one or numerous nodes and projections of the
multilevel network.
212 A
multilevel neural network is responsible for control of
213 Thus,
multilevel nuclear regulation of nucleosomes, transcript
214 stematic multi-omic casual analysis to infer
multilevel omics causal networks for the discovery of co
215 R package is needed for analyzing processed
multilevel or longitudinal microbiome/metagenomic data.
216 el of stenosis (aortoiliac, femoropopliteal,
multilevel,
or rest group with no significant stenosis).
217 e lungs in the process, producing a complex,
multilevel pathological state.
218 Analyses were performed using
multilevel patient-clustered mixed-effects regression mo
219 While
multilevel personal and environmental factors that influ
220 ture studies on revenge would benefit from a
multilevel perspective in which individual acts of reven
221 ation using photolithographically fabricated
multilevel phase layers demonstrates the predicted perfo
222 The underlying mechanism is a combination of
multilevel photoexfoliation of monolayer MoS2 and water
223 We generated a wide,
multilevel platform of gastric cancer models, comprising
224 This study reports a
multilevel platform of gastric cancer PDXs and identifie
225 imated LT rates per active person-year using
multilevel Poisson regression and empirical Bayes method
226 A
multilevel Poisson regression model was used to estimate
227 iffered in P. vivax parasite prevalence, and
multilevel Poisson regression models showed that such di
228 ates of survival to hospital discharge using
multilevel Poisson regression models.
229 ease (MELD)-adjusted DDLT rates using nested
multilevel Poisson regression with random intercepts for
230 Implementation was promoted by
multilevel practice engagement, patient navigation, and
231 iversity outpatient clinic, we built a novel
multilevel prediction approach for asthma outcome which
232 Multilevel predictors were assessed through chi-square t
233 Multilevel quantitative proteomics (TDP and bottom-up pr
234 This work represents the first
multilevel quantitative proteomics study of sexual dimor
235 , analysed by intention to treat by means of
multilevel random effect regression analyses adjusting f
236 We used non-parametric bootstrapping and
multilevel random effects models to estimate incremental
237 We used a multivariable,
multilevel random-effects regression model to analyze cu
238 innamic acid, eugenol and cinnamaldehyde) in
multilevel ratios.
239 g forces orchestrating this highly efficient
multilevel recognition process.
240 We integrated pathway analysis and
multilevel regional heritability analyses in a pipeline
241 Multilevel regression analysis indicated that clinical i
242 Multilevel regression analysis showed that the probabili
243 An ecological (at department level)
multilevel regression analysis was conducted to identify
244 Multilevel regression and poststratification (MRP) is a
245 Multilevel regression models measured associations of re
246 Multilevel regression models, performed separately for e
247 We used interrupted time series and
multilevel regression to quantify the campaign's impact
248 We used
Multilevel Regression with Post-stratification (MRP) to
249 Using
multilevel regression, the speed achieved by each upper-
250 Multilevel regressions were used to test the association
251 discusses the latest research regarding the
multilevel regulation and modes of action of WBP2 and ho
252 OCS isoforms and their role in breaching the
multilevel regulatory circuit connecting the innate and
253 lisecond as it is heard, in terms of complex
multilevel representations of relevant linguistic and no
254 C. platycarpus portrayed a
multilevel response with cardinal involvement of SAR, re
255 it S (PsbS) work in synergy for an optimized
multilevel response.
256 We conducted a longitudinal,
multilevel,
retrospective cohort study based on quarterl
257 experimental data acquired via an adaptive,
multilevel sampling procedure.
258 urrent knowledge of the anthosphere within a
multilevel selection framework and illustrate the potent
259 that this assortment can also be viewed in a
multilevel selection framework, where selection for coop
260 adaptive evolution of nontransitivity due to
multilevel selection in a 1000-generation host/virus evo
261 and the use of quantitative phylogenetic and
multilevel selection models to understand past and prese
262 heory promotes reductionist approaches while
multilevel selection theory encourages a context-sensiti
263 Here, we use
multilevel selection theory to develop such a framework.
264 arly half of our ~140 populations experience
multilevel selection, fixing adaptive mutations in both
265 ological construction (e.g., on cooperation,
multilevel selection, self-organization, and development
266 The initial
multilevel SLIM module incorporates four levels and thre
267 der mobility ranges, we have developed a new
multilevel SLIM possessing multiple stacked serpentine p
268 The new
multilevel SLIM technology thus enables wider mobility r
269 Present-day hunter-gatherers (HGs) live in
multilevel social groups essential to sustain a populati
270 We reveal that giraffes have a
multilevel social structure.
271 l ill effects that need to be addressed with
multilevel societal initiatives.
272 Multilevel societies (MLSs), stable nuclear social units
273 Such
multilevel societies, where stable groups move together
274 quantitative evidence for the presence of a
multilevel society in a small-brained bird, the vulturin
275 l function trajectories were estimated using
multilevel spline regression models adjusted for gender,
276 This study employs
multilevel statistical models from social network analys
277 Our multichannel visualization includes a
multilevel streaming pipeline plus a triple-buffer compo
278 develop and test interventions that address
multilevel stressors that affect the cardiovascular heal
279 Here we used
multilevel structural equation modeling and N fertilizer
280 assemblages along an aridity gradient using
multilevel structural equation modelling.
281 In
multilevel structural equation models, PM2.5 was associa
282 ately suited to the challenges of extracting
multilevel structure from whole-genome data.
283 We accounted for multiple mediators and the
multilevel structure of the data in mediation analyses.
284 n researchers indicates that emotions have a
multilevel structure.
285 zero-inflated count or proportion data with
multilevel structures (e.g., longitudinal studies).
286 A
multilevel study design was used to analyse data derived
287 While analyses from this new
Multilevel Suicide Data for the United States (MSD-US) r
288 drying, or extraction, which move through a
multilevel supply chain before reaching the finished pro
289 Multilevel surgery (modified uvulopalatopharyngoplasty a
290 policies and prolongation of gestation in a
multilevel survival analysis.
291 Future research could consider
multilevel,
systems-based interventions as an alternativ
292 applied in concordance to form a fine-scale
multilevel taxonomic framework, and not necessarily impl
293 Multilevel time-to-competing-events regression adjusting
294 We use
multilevel time-to-event analysis to analyze the timing
295 We conducted a
multilevel (
Top-Middle-Bottom-Up) approach focusing on t
296 (ii) Can a socioecologically informed
multilevel treatment of the satellite data increase the
297 l utility, long-term efficacy, and safety of
multilevel upper airway surgery for treatment of patient
298 This
multilevel view suggests that, over the course of evolut
299 tests, and quantile regressions (simple and
multilevel)
were used for comparing T0 and T1.
300 A
multilevel,
within-group, sparse partial least squares a