Data and analytic methods
Bayesian hierarchical meta-analytic methods for modeling surrogate relationships that vary across treatment classes using aggregate data
... limited data within each treatment ...meta-analytic methods are intro- duced which allow for borrowing of information from other treatment classes when exploring the surrogacy in a particular ...
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Advances in the analysis of event-related potential data with factor analytic methods
... The simulation study by Scharf and Nestler (2019) closed this gap, comparing the performance of simple structure rotation and regularization for a wide range of factor loading patterns. The results showed that elastic ...
191
Comparison of three meta-analytic methods using data from digital interventions on type 2 diabetes
... summary data from RCTs or absence of ...summary data for all intervention and control groups, such as baseline and follow-up mean values, as well as corresponding SDs, mean and SD values for changes over ...
15
Analytic Methods in Sports
... points allowed of NFL teams is not statistically significant; the other correlations are all statistically significant. When evaluating significance in this way, there are some important issues to keep in mind; although ...
248
Analytic function methods for nonparametric control
... investigates analytic function methods for nonparametric analysis and design of robust control linear ...plant data to design the ...∞ analytic function theory is ...of analytic ...
163
Analytic Methods and Workflows for EEG/ERP Domain
... An example of modelling workflows in Taverna is shown in Figure 30. Figure 30: Workflow modelling in Taverna [31] A Taverna workflow graph is a directed acyclic graph where nodes, called processors, represent software ...
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Implementing Innovative Gaze Analytic Methods in Clinical Psychology
... 3.4 Procedure The study was designed as a 2 (дroup)×2 (task)×7 (emotion) mixed design. Participants were asked to categorize presented emotional faces in two tasks (i.e., gender discrimination and emotion catego- ...
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Constructing Confidence Intervals for Spearman’s Rank Correlation with Ordinal Data: A Simulation Study Comparing Analytic and Bootstrap Methods
... the analytic methods studied here involve ad hoc adjustments to a technique developed for use with bivariate normal data, using them with increasingly small table sizes - which necessitate deviations ...
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Thresholds for statistical and clinical significance in systematic reviews with meta-analytic methods
... size and 1.0). The uncertainty related to the quantifica- tion of the anticipated intervention effects is a major limitation of our procedure as well as Bayesian analyses. To make the estimation of the anticipated ...
13
Data analysis methods and the reliability of analytic epidemiologic research.
... various analytic definitions and estimation procedures on the resulting ...their data to be subjected to the novel analytic approaches ...NHS data evidently relied on a biennial snapshot of ...
12
Analytic and simulation methods in computer network design*
... We do this first by fixing the cost of the network at D = Do and plotting T, the average time delay, as we vary the percentage of full data rate applied to the network; this performan[r] ...
12
Methods for estimating uncertainty in factor analytic solutions
... this work, the ME-2 program is used under control of an en- hanced script. The obtained values d max and d min respectively repre- sent upper and lower interval estimates for factor element f kj . The limit value dQ max ...
17
Algebraic and analytic reconstruction methods for dynamic tomography.
... Ω h i (~x)f (~x)d~x, i ∈ I. (3) where (d i ) i∈I is the real vector of acquired data. In 2D tomography, h i (~x) could be the dirac on a line δ(~x · ~θ i − s i ) where ~θ i is the direction of the projection and s ...
5
Zerofinding of analytic functions by structured matrix methods
... Whatever linearization technique we apply, it results in a rank–structured (gen- eralized) eigenproblem. The exploitation of the structural properties of the resulting matrix eigenvalue problem also leads to a ...
21
Cloud Based Big Data Analytic: a Review
... of data. This huge amount of data is useful for future ...big data analytics for future ...big data analytics over cloud. Big data is a term which deals with large volume, velocity and ...
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An Analytic-Themed, Spiral Curriculum for an. Introduction to Qualitative Research Methods Course
... an analytic-themed, spiral curriculum for a university-level introduction to qualitative research methods ...precedes data collection and ...research methods (participant observation, ...
17
Data analytic approach for manipulation detection in stock market
... 1 Data analytic approach for manipulation detection in stock market Abstract The term “price manipulation” is used to describe the actions of “rogue” traders who employ carefully designed trading tactics to ...
38
Analytic methods in combinatorics
... One of the most well-known results in extremal graph theory is Tur´ an’s theorem [72], which determines the largest possible number of edges in an n-vertex graph without a complete subgr[r] ...
111
Introduction to Project Finance Analytic Methods
... DCF analysis uses future cash flow projections and discounts them (most often using the weighted average cost of capital) to arrive at a present value, which is used to evaluate the p[r] ...
39
Analytic Methods for Optimizing Realtime Crowdsourcing
... A queueing theory model allows us to determine the number of workers to keep on active retainer. The size of the retainer pool is typically the only value that re- questers can manipulat[r] ...
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