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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.

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