1 emporary technologies (P = 0.012), engage in
multilevel analyses (P = 0.010), and incorporate element
2 Using
multilevel analyses in study 2, we demonstrate that thes
3 Multilevel analyses showed that regional factors affecte
4 tervention and delayed-control patients used
multilevel analyses to account for cluster effects at co
5 In multivariable,
multilevel analyses, factors associated with lower refer
6 cross-sectional and two longitudinal), using
multilevel analyses, we found a reliable contextual effe
7 adjusting for confounders such as age using
multilevel analyses.
8 Our
multilevel analysis collectively shows how plant-plant i
9 This study is a cross-sectional,
multilevel analysis of the 2010-11 Mental Health Minimum
10 ouse visual system has become a platform for
multilevel analysis of the mammalian central nervous sys
11 els, suggesting that our field is inherently
multilevel and already practicing empirically based plur
12 Multilevel and mixture modeling were used to generate dy
13 A
multilevel and multidisciplinary intervention was launch
14 Multilevel and regression analyses were conducted.
15 y comparing the model estimates derived from
multilevel and single-level models.
16 oped nanoparticles are especially useful for
multilevel anti-counterfeiting with high-throughput rate
17 of binary temporal coding are desirable for
multilevel anti-counterfeiting.
18 An integrated,
multilevel approach focused on enhancing availability an
19 mative Influences on Stigma (FINIS) offers a
multilevel approach that can be tailored to stigmatized
20 valuation indicated limited research in 1) a
multilevel approach that incorporates molecular, individ
21 It advances SENA by developing a
multilevel approach to assess social-ecological (or soci
22 icle summarizes a national, multiagency, and
multilevel approach to HIV care for newly diagnosed yout
23 d plastid proteomes in moss, present a novel
multilevel approach to organelle biology in plants, and
24 n the 21st century: emerging technologies, a
multilevel approach, knowledge integration, and team sci
25 Using a computational
multilevel approach, we propose that ADHD is caused by i
26 This computational,
multilevel,
approach to ADHD provides a framework for br
27 evident in an established set of multiactor,
multilevel arrangements addressing marine, terrestrial,
28 coherence is not an essential asset in such
multilevel-
based heat engines.
29 e to develop a single platform for detecting
multilevel biomarkers for early-stage diagnosis.
30 presented as a feasible candidate to succeed
multilevel-
cell (MLC) NAND flash memory.
31 ould take a systemic approach; without these
multilevel considerations, strategic goals aimed to help
32 In a
multilevel Cox proportional hazard analysis, underweight
33 The
multilevel Cox regression models investigated the influe
34 genes, can physically interact, and exhibit
multilevel cross-talk regulating cell fate-determining a
35 us view that polygyny is harmful, drawing on
multilevel data from 56 ethnically diverse Tanzanian vil
36 ic, retrospective cohort study, we collected
multilevel data related to Hungary between 1995 and 2004
37 l applications in neuromorphic computing and
multilevel data storage, as well as applications that re
38 ed using multiple imputation, accounting for
multilevel data structure.
39 nd state ownership need to be examined using
multilevel data, linking macro-effects and micro-effects
40 A tiered,
multilevel data-integration approach was used, which int
41 FMRP and determine its ability to normalize
multilevel defects caused by FMRP loss.
42 pments provide a path for the development of
multilevel designs providing, e.g., much longer IM path
43 l variables, and (d) mediation assessment in
multilevel designs.
44 oviding essentially lossless transmission in
multilevel designs.
45 at standardizes and streamlines the complex,
multilevel diagnosis of DSM-5 PMDD.
46 Compared with men, women were older and have
multilevel disease and critical limb ischemia.
47 cations, contributing to the exposure of the
multilevel diversity of protein complexes.
48 INTERPRETATION: A multifaceted and
multilevel educational intervention, aimed to improve us
49 We propose a
multilevel equivalent agglomeration (MEA) model in which
50 ution, but the same algorithm applies to all
multilevel evolutionary processes.
51 trials and community-randomized trials) are
multilevel experiments in which units that are randomly
52 Multilevel explanations abound in psychiatry.
53 l ways in which Lane et al. successfully use
multilevel explanations to advance understanding of psyc
54 Logistic regression models predicted
multilevel factors associated with providing SCPs or dis
55 fractional polynomial regression models in a
multilevel framework accounting for repeated measures.
56 tional polynomials and further modelled in a
multilevel framework to account for the longitudinal des
57 Here, we apply a
multilevel framework to partition effects of great tit f
58 Individual growth curve modeling within a
multilevel framework was used to examine the relation be
59 Altogether, results from these
multilevel functional studies are bringing strong eviden
60 Here, our
multilevel functional studies are bringing strong eviden
61 hology provide a framework for understanding
multilevel functioning in normality and pathology.
62 n integrative web server CMGRN (constructing
multilevel gene regulatory networks), to unravel hierarc
63 rocedure was employed using a mixed-effects,
multilevel,
general linear model.
64 Analysis used
multilevel generalised linear mixed modelling to explore
65 Multilevel generalized linear models were used to evalua
66 g local and regional organizations (i.e., in
multilevel governance settings).
67 levels of decision making, thus representing
multilevel governance systems for managing natural capit
68 Multilevel health care intervention to address the incre
69 tical early diagnosis scheme within existing
multilevel health-care infrastructure.
70 Multilevel hierarchical regression was used to account f
71 fessorship, adjusting for these factors in a
multilevel (
hierarchical) model.
72 nection between angiogenesis and diseases at
multilevels including protein-protein interaction, drug-
73 emical analysis suggests that this defect is
multileveled,
including changes in expression and activi
74 s for assessing how the multidimensional and
multilevel inequalities that characterize contemporary c
75 Targeted
multilevel interventions are needed to reduce HIV transm
76 Local
multilevel interventions can reduce the effect of health
77 ited on the implementation of evidence-based
multilevel interventions targeted at blood pressure (BP)
78 These projects aim to compare
multilevel interventions with known efficacy at the comm
79 Multilevel kernel density analysis of between-group effe
80 Multilevel kernel density analysis was used to examine v
81 le, and 95th percentile were estimated using
multilevel linear models.
82 I were investigated by using a multivariable
multilevel linear regression analysis with individuals n
83 We used
multilevel linear regression models adjusted for potenti
84 Multilevel linear regression models included random effe
85 Descriptive statistical methods and
multilevel linear regression models were used for analys
86 Multilevel linear regression models were used to explore
87 ences in age, sex, race, and ESRD rate using
multilevel linear regression models.
88 Hierarchical
multilevel linear regression of 216,350 assessments made
89 A
multilevel linear regression was used to express the rep
90 patterns of NfH changes were evaluated using
multilevel linear regression.
91 onal level, the language system must build a
multilevel linguistic representation; and (3) the langua
92 A
multilevel logistic model was used to estimate the assoc
93 We developed a
multilevel logistic model with both state- and nested co
94 rs of healthy control versus TMJOA status in
multilevel logistic regression analyses.
95 Simple and
multilevel logistic regression analysis was performed wi
96 on 30-day readmission risk was evaluated by
multilevel logistic regression analysis.
97 full professorship was estimated by using a
multilevel logistic regression model adjusting for these
98 Among persons tested for anti-HCV, we fit a
multilevel logistic regression model to identify patient
99 Expected mortality was obtained from
multilevel logistic regression model, adjusting for demo
100 We used
multilevel logistic regression modeling to account for c
101 We fitted
multilevel logistic regression models (patients nested i
102 Multilevel logistic regression models were used to calcu
103 Multilevel logistic regression models were used to deter
104 Analyses included descriptive statistics and
multilevel logistic regression models.
105 To account for clustering, we used
multilevel logistic regression models.
106 We used multivariable
multilevel logistic regression to assess the influence o
107 Multilevel logistic regression was used to analyse the e
108 Multilevel logistic regression was used to assess predic
109 Multilevel logistic regression was used to estimate risk
110 Multilevel logistic regression was used to examine the p
111 performed a retrospective cohort study using
multilevel logistic regression, with MAC use modeled as
112 HIV-positive status were characterized using
multilevel logistic regression.
113 Multivariable,
multilevel logistic regression.
114 me, and county urbanicity) in the NVSS using
multilevel logistic regression.
115 post-geographic sharing were estimated using
multilevel logistic regression.
116 Multilevel logistic regressions, including household and
117 This
multilevel longitudinal study made use of record-linkage
118 High-speed and
multilevel magnetic information storage is further demon
119 Using a statistical tool known as
multilevel mediation analysis to analyze individual data
120 We performed a phylogenetic
multilevel metaanalysis of 288 statistical associations
121 A comprehensive set of
multilevel mixed effects models that account for the gro
122 We used
multilevel mixed effects models to estimate adjusted odd
123 nit as intensive care (integrated HDC) using
multilevel mixed effects models.
124 Multilevel mixed linear models (to account for the inclu
125 Multilevel mixed linear models were performed for analys
126 ake on CAP and LS values was analyzed with a
multilevel mixed model approach.
127 (2) ; 2009-2012), we employed a hierarchical
multilevel mixed model to evaluate the effects of climat
128 We used
multilevel mixed-effect regression models to assess long
129 Meta-regression and
multilevel mixed-effects linear regression were used to
130 hospitalization factors were examined using
multilevel mixed-effects logistic regression and multile
131 alternative vasopressors was assessed and a
multilevel mixed-effects logistic regression model was u
132 Multilevel mixed-effects logistic regression modeling ex
133 Using
multilevel mixed-effects logistic regression modeling, w
134 se medicines and blood pressure control with
multilevel mixed-effects logistic regression models, and
135 mortality was evaluated with multivariable,
multilevel mixed-effects models.
136 ilevel mixed-effects logistic regression and
multilevel mixed-effects ordinal logistic regression.
137 ne contact with mental health services using
multilevel mixed-effects regression adjusted for sociode
138 With the use of
multilevel mixed-regression analysis, changes in total e
139 A
multilevel,
mixed-effects linear regression with intenti
140 Using
multilevel,
mixed-effects logistic regression models, we
141 Readmission risk was determined using
multilevel,
mixed-effects Poisson regression.
142 scores of 3 (odds ratio = 27.8; P <0.001) in
multilevel,
mixed-effects, logistic regression modeling
143 We used a 3-level
multilevel model nesting repeated measures of outcomes w
144 he temporal process model of retirement, the
multilevel model of retirement, and the resource-based d
145 In the
multilevel model with fixed effects ATVS and examination
146 ess (Markov model, 58.5% [95% CI 54.2-62.8];
multilevel model, 57.1% [53.0-61.2]).
147 ols (Markov model, 75.8% [95% CI 71.4-80.2];
multilevel model, 60.0% [56.6-63.4]).
148 ecipients data, we developed a hierarchical (
multilevel)
model to determine the association between c
149 Multilevel modeling analyses, using a Bonferroni-correct
150 Multilevel modeling found, as expected, a highly signifi
151 surveys, and 3) to explore the usefulness of
multilevel modeling of cross-sectional survey data by co
152 cted mean deviation (MD) was calculated with
multilevel modeling of longitudinal data.
153 Multilevel modeling of the effects of preschool and scho
154 BMI at 18 years of age were assessed using a
multilevel modeling strategy.
155 Multilevel modeling that accounted for age, sex, race, a
156 Multilevel modeling was applied to explore the associati
157 Multilevel modeling was performed to investigate the ass
158 Multilevel modeling was used to estimate the association
159 ta were analyzed using analysis of variance,
multilevel modeling, and survival analyses, where approp
160 data collected prospectively across life and
multilevel modeling, we investigated how the relationshi
161 ined from 171 individuals using longitudinal
multilevel modeling.
162 FN, FL, and TD on DeltaMD was assessed using
multilevel modeling.
163 were analyzed using logistic regression and
multilevel modeling.
164 Data were risk-adjusted using
multilevel modeling.
165 y speed were investigated graphically and by
multilevel modeling.
166 k of gestation were produced with the use of
multilevel modeling.
167 We used
multilevel modelling and tests for interaction to invest
168 Multilevel modelling and tests for interaction were used
169 ns between the variables were examined using
multilevel modelling techniques.
170 Multilevel modelling was used to separate individual and
171 For the primary endpoint,
multilevel modelling yielded significantly higher averag
172 manner with validated tools and compared by
multilevel modelling.
173 nd urban or rural residence were fitted with
multilevel modelling.
174 other vaccine serotypes (15.64 microg/mL) in
multilevel models (IgG GMC ratio, 0.24; 95% confidence i
175 In
multilevel models accounting for age, the magnitude of a
176 1 to December 31, 2010) were used to create
multilevel models accounting for center-specific effects
177 f Tsimane' horticulturalists, using Bayesian
multilevel models and information-theoretic model compar
178 t and use of dental services was examined in
multilevel models controlling for a standard set of indi
179 of age were estimated by using linear spline
multilevel models for 9723 children participating in a p
180 Multiple
multilevel models showed various independent variables s
181 We built
multilevel models to assess the relation between D2B tim
182 We used
multilevel models to calculate risk- and reliability-adj
183 All the fit indices showed
multilevel models were a better fit than simple models.
184 Multilevel models were applied with MLwiN to estimate va
185 Multilevel models were used to assess the associations b
186 Multilevel models were used to examine the association b
187 Multilevel models with municipality as a cluster variabl
188 Based on
multilevel models, our findings reveal that programs red
189 with nutrient adequacy were quantified using
multilevel models, receiver operating characteristic cur
190 In
multilevel models, shorter patient-specific D2B times we
191 posttreatment HAM-D or BDI score of 0) using
multilevel models.
192 om BCMS patients using continuous Markov and
multilevel models.
193 and the standard error 2 to 3 times lower in
multilevel models.
194 ences on allergen levels were analyzed using
multilevel models.
195 MI were examined using linear regression and
multilevel models.
196 the metabolic level (defined collectively as
multilevel molecules).
197 y individual qualities as the "true self," a
multilevel,
multicomponent approach suggests that, in mo
198 We propose that the
multilevel multimodal convergence architecture may be a
199 The wiring diagram revealed a complex
multilevel multimodal convergence architecture.
200 The merged mechanism provides a
multilevel,
multiscale causal explanation of key tempora
201 Secondary
multilevel multivariable analysis of 2011 Medicare claim
202 Multilevel multivariable logistic regression models were
203 Multilevel multivariable models were used to estimate th
204 We used
multilevel multivariable ordinal logistic regression to
205 tors of acute stroke-care quality by fitting
multilevel multivariable regression models across 42 4-h
206 This
multilevel nature of ChIA-PET data offers an opportunity
207 Multilevel negative binomial models were used to assess
208 Multilevel negative binomial regression was used to anal
209 Here we introduce a new type of
multilevel,
nonvolatile magnetic memory concept, the mag
210 Multilevel or simple linear regression modeling adjusted
211 Using a
multilevel,
panel dataset of land use changes in Chile,
212 Language production is a
multilevel phenomenon, and human capacities to communica
213 The underlying mechanism is a combination of
multilevel photoexfoliation of monolayer MoS2 and water
214 Multilevel physical and chemical communication systems a
215 Multilevel Poisson regression models fitted the associat
216 iffered in P. vivax parasite prevalence, and
multilevel Poisson regression models showed that such di
217 We used
multilevel Poisson regression to model the relationship
218 Using
multilevel Poisson regression, we examined temporal tren
219 Using a
multilevel Poisson regression, we quantified ICU mortali
220 as been revolutionized by the engineering of
multilevel pore architectures, which combine unique chem
221 One possible route towards the formation of
multilevel porous architectures relies on the processing
222 the microRNA (miRNA) let-7 has emerged as a
multilevel program that controls self-renewal in embryon
223 ved after either multivariable adjustment or
multilevel propensity score matching.
224 Multiscale and
multilevel protection prevents mechanical degradation an
225 A
multilevel random intercept and slope analysis was condu
226 innamic acid, eugenol and cinnamaldehyde) in
multilevel ratios.
227 Single and
multilevel re-entrant structures were achieved by using
228 g forces orchestrating this highly efficient
multilevel recognition process.
229 r, have never been extended to a generalized
multilevel reduced design type that would be capable to
230 We integrated pathway analysis and
multilevel regional heritability analyses in a pipeline
231 We used linear
multilevel regression analysis to explore the associatio
232 Extended
multilevel regression and poststratification analyses we
233 External validation results suggest that
multilevel regression and poststratification model-based
234 In this study, we validated our
multilevel regression and poststratification SAEs from 2
235 Multilevel regression examined factors independently ass
236 For risk-adjusted analyses, a
multilevel regression model was applied.
237 del combines the rate of change implied by a
multilevel regression model with a time-series model to
238 Our extended
multilevel regression modeling and poststratification ap
239 We used
multilevel regression modelling with adolescents nested
240 HIV prevalence and engagement in care and in
multilevel regression models to identify correlates of p
241 We developed adjusted
multilevel regression models to investigate the associat
242 An interrupted time series and adjusted
multilevel regression models were used to determine the
243 Random-intercept
multilevel regression was used to evaluate the associati
244 adopting a life-course approach, they use a
multilevel regression with individuals cross-classified
245 Multilevel regressions were used to assess the relations
246 Multilevel regressions were used to examine the associat
247 Multilevel regressions were utilized to study potential
248 In this manuscript, we propose a
multilevel regularized regression method to simultaneous
249 findings and integrate them into a model for
multilevel regulation of AID expression and targeting in
250 coelicolor and have uncovered unprecedented
multilevel regulation that is coordinated by three secon
251 cated to dissecting cross-interactions among
multilevel regulators, genes and biological functions.
252 f core properties of language, including its
multilevel representational structure and duality of pat
253 ch, including new technologies, team science
multilevel research, and knowledge integration, are not
254 it S (PsbS) work in synergy for an optimized
multilevel response.
255 Recent developments on structured
multilevel sampling that are empirically and theoretical
256 All sentinel lymph nodes underwent
multilevel sectioning and were stained with hematoxylin-
257 election on groups as defined by traditional
multilevel selection (MLS) theory.
258 riculture by appealing to the second type of
multilevel selection (MLS2).
259 rrow focus on agriculture, the importance of
multilevel selection and complex systems theory, and uto
260 ral institutions, and for the equivalency of
multilevel selection and inclusive fitness approaches.
261 that this assortment can also be viewed in a
multilevel selection framework, where selection for coop
262 ail while remaining consistent with kin- and
multilevel selection frameworks.
263 Multilevel selection models show how cooperation can evo
264 and the use of quantitative phylogenetic and
multilevel selection models to understand past and prese
265 This suggests that
multilevel selection plays a key role in the evolution o
266 its (GLTs) clarify the necessity of cultural
multilevel selection theory.
267 Multilevel selection, first without, then with, the coll
268 ological construction (e.g., on cooperation,
multilevel selection, self-organization, and development
269 Here, we report the use of
multilevel simultaneous component analysis (MSCA), ortho
270 We investigated whether a multicomponent,
multilevel social and behavioural prevention strategy co
271 Present-day hunter-gatherers (HGs) live in
multilevel social groups essential to sustain a populati
272 societies [1-4], humans are said to live in
multilevel social groups, with individuals situated in a
273 We suggest that a
multilevel social organization allows individuals access
274 Although this
multilevel social organization has been described among
275 papio), we show that this species exhibits a
multilevel social organization in which males maintain s
276 play in non-human societies but also create
multilevel social structures in the wild.
277 e BaYaka (Republic of Congo)-reveals similar
multilevel social structures, with individuals situated
278 Multilevel societies, containing hierarchically nested s
279 tionships of sperm whales are organized in a
multilevel society with an upper level composed of clans
280 ldren aged 9-11 years from 12 countries, and
multilevel statistical analyses were used, including bot
281 , providing high-resolution data amenable to
multilevel statistical analysis.
282 Multilevel statistical models accounted for clustered me
283 nt match (similarity) scores are analyzed by
multilevel statistical models with covariates such as ti
284 he ubiquity of sodium in the US food supply,
multilevel strategies addressing individual behaviors an
285 Our multichannel visualization includes a
multilevel streaming pipeline plus a triple-buffer compo
286 Firstly, a
multilevel structural equation modelling approach was us
287 assemblages along an aridity gradient using
multilevel structural equation modelling.
288 Hungarian economic transition by means of a
multilevel study designed to address these gaps in the s
289 drying, or extraction, which move through a
multilevel supply chain before reaching the finished pro
290 miRNA export, and gene expression, providing
multilevel surveillance in RNA functions.
291 stinctions often used to support complex (or
multilevel)
syntactic structure are instead captured by
292 We conducted a
multilevel (
Top-Middle-Bottom-Up) approach focusing on t
293 network reveal dense gene interwiring and a
multilevel transcriptional regulation of conserved and n
294 The search for a deep,
multileveled understanding of human intelligence is perh
295 This
multilevel view suggests that, over the course of evolut
296 Our best unsupervised algorithm (
multilevel-
weighted graph clustering algorithm) performs
297 n this study, we developed a high resolution
multilevel well (HR-MLW) with which we monitored water a
298 When comparing
multilevel with simple logistic models, beta values were
299 A
multilevel,
within-group, sparse partial least squares a
300 Subjects performed a
multilevel working-memory task (N-back) during fMRI.