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1 s between KvLQT1 and cardiac IKs are largely inferential.
2 perimental evidence for this has so far been inferential.
3 f calcification in cartilage degeneration is inferential.
4 ents: the 20-min group showed no evidence of inferential ability (52%), whereas the 12- and 24-hr gro
5 nto either the traditional associationist or inferential alternatives that have dominated comparative
6 es, performed fixed effect and random effect inferential analyses, tested for heterogeneous findings,
7 tion of postoperative motor outcomes and the inferential analysis of strabismus surgery in infant eye
8               Our method, named heterologous inferential analysis or HIA, combines conservational inf
9 arious histogenesis, using cDNA microarrays, inferential and descriptive statistics, and dynamic mapp
10 in pacing, its mechanistic action is largely inferential and indeed somewhat controversial.
11  degeneration in osteoarthritis is primarily inferential and is based on correlative data.
12 e and overly simplistic, whereas surveys are inferential and often confound temperature with other dr
13               However, this evidence is only inferential, and because examples are known in which qua
14 amics outcomes were modeled using a Bayesian inferential approach and Markov chain Monte Carlo estima
15 neuroscience framework for understanding the inferential architecture of the lateral PFC, drawing upo
16                                 Among the 40 inferential articles that studied 10 or more patients, o
17                    It also provides a formal inferential basis for deciding when the spot is blank, n
18 e propose some constructive responses to the inferential challenges posed by the small explanatory po
19 ield a consistent signal despite an array of inferential challenges.
20 dies using cultured cells, from which mainly inferential conclusions have been drawn as to the relati
21 tion clear between experimental evidence and inferential conclusions while providing a framework in w
22 niques, studied 10 or more patients, and had inferential conclusions.
23 in appraisals/reappraisals may update active inferential CP self-models, which then mediate appraisal
24 marked-point-process regression was used for inferential cumulative burden analysis.
25 ecessary data for computational modeling and inferential data mining.
26 ussed: mechanistic dynamical simulations and inferential data mining.
27 rapy in 45% of all patients referred and had inferential/decision-making value in another 44%.
28  it is unknown how information that leads to inferential deductions are encoded and manipulated at th
29 arahippocampal gyrus, was more activated for inferential errors in the donation than in the savings c
30         The authors suggest how to recognize inferential errors when they occur, describe how to prot
31  between studies and the high risk of type I inferential errors.
32 in secondary lymphoid organs, and we provide inferential evidence for a key role of the female reprod
33 he phospholipid bilayer, have yielded strong inferential evidence for an "umbrella-like" action of th
34                 This finding (1) constitutes inferential evidence for the presence of functional VEGF
35                                              Inferential evidence indicates that macular pigments (lu
36  deaths across a range of study designs, and inferential evidence supports breast cancer screening fo
37 ls also have declarative memory, and whether inferential expression of memory depends on the hippocam
38                                We propose an inferential framework for GSEA based on functional data
39  We analyse our data with a simulation-based inferential framework that can overcome some of the intr
40 mission embedded within a Bayesian synthesis inferential framework to jointly analyze syndromic, viro
41 n-herd transmission models within a rigorous inferential framework.
42 rstood and operated, in that we rephrase the inferential goal as a classification problem, first pred
43 ght reduce precision at higher levels of the inferential hierarchy, biasing inference towards sensory
44                                              Inferential implications of admissions data on nearly th
45 d one-sided p-values are used to reflect our inferential interest.
46 odified intention-to-treat analysis using an inferential joint model combining a mixed-effects model
47 ational memory was seen for the most distant inferential judgment (the B>E pair; sleep = 93%, wake =
48 dge of the hierarchy was tested by examining inferential judgments for novel "inference pairs" (B>D,
49 ts were tested on the trained pairs and made inferential judgments on novel pairings that could be so
50 ng superior performance for the more distant inferential judgments, a benefit that may operate below
51 e is known, however, about how and when this inferential knowledge emerges.
52 sociated specifically with the adjustment of inferential learning on the basis of unpredictability.
53         We conclude with a discussion of the inferential limitations of neuroimaging and lesion studi
54                                              Inferential (linear) models identified a consistent nega
55 ted using simulated datasets, validating our inferential machinery.
56 ependent young monkeys underwent testing for inferential measures of anxiety (ie, voluntary explorati
57 a moderately stressful novel environment for inferential measures of offspring anxiety (ie, maternal
58 port relational memory network formation and inferential memory in the human brain.
59 mation of integrated memories and successful inferential memory performance.
60 uences might be important for supporting the inferential mental operations associated with the cognit
61                                We outline an inferential method for performing one- and two-sample hy
62                     In summary, the proposed inferential method provides an unbiased assessment of Pr
63 it relationships estimated with conventional inferential methodology are likely to be significantly d
64 a software package for applying the Bayesian inferential methodology to problems in systems biology.
65 the-art of Bayesian phylodynamics and demand inferential methods with relatively low computational co
66 are alleles, which remain poorly resolved by inferential methods.
67 issues as well as the choice of study design inferential methods.
68                        Here, we developed an inferential model built on the gene expression of multip
69 estigating how brain mechanisms give rise to inferential, model-building explanations.
70 d small sample sizes limit the complexity of inferential models.
71 l muscle growth and regeneration are largely inferential or do not directly address gene regulatory m
72 ent experimental techniques can provide only inferential or incomplete information about the protein-
73 uals, phylogeographic studies have increased inferential power and the potential for applications to
74 nown parameter values in order to assess the inferential power provided by each summary statistic.
75                                        Great inferential power, however, carries a crucial vulnerabil
76 ays by this approach substantially increases inferential power, or the ability to detect differential
77 imaging meta-analyses, address long-standing inferential problems in the neuroimaging literature and
78 hat incorporates variable selection into the inferential procedure, for the identification of the imp
79                                              Inferential procedures are presented, and some extension
80 ver, given the latest findings that powerful inferential procedures for haplotype analyses can be con
81 clude the development of representations and inferential procedures for large-scale probabilistic inf
82 tead, perceiving lifelikeness seems to be an inferential process and one might expect it to be cognit
83  results strongly support an active top-down inferential process in perception.
84 ision--and perception at large--is an active inferential process involving hierarchical brain systems
85 ver, for a teleological theory, rooted in an inferential process that extracts information about acti
86  by biasing perceptual decision-making - the inferential process underlying perception in which prior
87                  These findings suggest that inferential processes support transfer of rapidly acquir
88 ome associations, it may impair more complex inferential processes, such as counterfactual learning f
89 sent either misremembering or the effects of inferential processes.
90  gyrus is particularly involved during later inferential processing in story comprehension.
91  gyrus is particularly involved during early inferential processing, whereas the left hemisphere supe
92 s from a simulation study designed to assess inferential properties of the models, and propose a modi
93    Models have been used for explanatory and inferential purposes, as well as in planning and impleme
94 t (Psittacus erithacus) abilities for visual inferential reasoning by exclusion were tested in two ex
95 tion of separate memories forms the basis of inferential reasoning--an essential cognitive process th
96 ion in learning, blocking, often arises from inferential reasoning.
97                                              Inferential results for tests based on these different m
98                  Datasets were analyzed with inferential statistic procedures.
99                                  As with all inferential statistical methods, maximum likelihood is b
100                                Between-group inferential statistics and machine learning were used to
101                                   The use of inferential statistics for QTL identification thus inclu
102                              Descriptive and inferential statistics were performed.
103    Limitations: The study was open label, no inferential statistics were planned, and only patients w
104                 The study was open-label, no inferential statistics were planned, and sample sizes we
105 eatment assignments were not blinded, and no inferential statistics were planned.
106 analysed statistically using descriptive and inferential statistics.
107       The small sample size precluded use of inferential statistics; therefore, data were analysed us
108                        We briefly review its inferential strengths and weaknesses and present example
109                   The resulting experimental inferential structure determination (EISD) method is siz
110                                          The inferential structure determination (ISD) framework, whi
111                                          The inferential structure determination ensemble has similar
112 Overhauser effect peak intensity, we applied inferential structure determination to calculate the eCD
113 rlying mechanism, these results offer strong inferential support for the hypothesis that cAMP signali
114                             Likelihood-based inferential techniques, although controversial in the pa
115 rative approach, using different model-based inferential techniques, to analyse published datasets fr
116 38% of the 112 studies that used statistical inferential techniques.
117 ensoring of information and do not allow for inferential testing of the role that local processes pla
118 abstract mental representations that support inferential thinking.
119 or the model to be useful as a predictive or inferential tool, some adjustments for the biology of th
120 roblems, using convex relaxation as the core inferential tool.
121 w here that the human PFC has two concurrent inferential tracks: (i) one from ventromedial to dorsome
122 sing algorithm for grouping transcripts into inferential units that exploits the posterior correlatio
123 on of phenotypes, but have somewhat doubtful inferential value, at least when sample size is such tha
124 odeling to decouple biological variance from inferential variance.

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