Data Analysis and Inferences
Borrowing information across genes and experiments for improved error variance estimation in microarray data analysis and statistical inferences for gene expression heterosis
... Since high-throughput technologies measure expression of hundreds of thousands of genes simultaneously, we could potentially utilize information across genes to improve the estimation of gene expression heterosis for ...
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Empirical Likelihood Inferences in Survival Analysis
... Survival analysis Survival analysis is a collection of statistical approaches for data analysis, for which the outcome variable of interest is the time until an event occurs (Kleinbaum ...
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Causal inferences with large scale assessment data: using a validity framework
... rich data sources for causal ...causal inferences and ...causal inferences are rarely ...causal inferences and then suggest and apply a validity framework to evaluate the tenability of claims ...
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Challenges and Implications of Missing Data on the Validity of Inferences and Options for Choosing the Right Strategy in Handling Them
... when data are missing at ...missing data will be adequately reflected and, data relationships and associations are preserved ([3]; [30]; ...complete-data analysis methods and ...
8
Data Mining and Sensitive Inferences
... by data mining ...classification analysis and limit the usefulness of unwanted sensitive inferences that may be derived from the ...Sensitive inferences are specified by a set of “privacy ...
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Order-statistics-based inferences for censored lifetime data and financial risk analysis
... the data? This was lately followed by Huang ( 2012 ), who questioned the sufficiency of information should be contained in one single pair of quantiles, and introduced a new class of models that involves not only ...
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The Analysis of Implicit Premises within Children’s Argumentative Inferences
... 10 In order to give a picture of the examples that are present in our corpora, we might refer to some approximate figures. We counted 202 episodes of argumen- tative discussions in the two corpora analyzed in this paper. ...
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The effects of incomplete protein interaction data on structural and evolutionary inferences
... an analysis of Han et ...of data-set selection on structural inferences of networks, which can also have considerable impact on the analysis and may explain differences between ...
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Inferences for Burr-X Model Based on Unified Hybrid Censored Data
... The rest of this paper is organized as follows. The Maximum likelihood function is presented in Section II. The Bayesian analysis under the SEL and the LINEX loss functions is described in Section III. In Section ...
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Mutations as Missing Data: Inferences on the Ages and Distributions of Nonsynonymous and Synonymous Mutations
... Such inferences are of interest because the ages of muta- P value in the test of ...cussed data sets using the same runs of the Markov One potential problem of concern is the assumption chain as in the ...
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Inferences in semi-parametric fixed and mixed models for longitudinal discrete data
... longitudinal data have been studied by some authors such as Severini and Staniswalis (1994), Lin and Carroll (2001, 2006), Warriyar and Sutradhar (2014), Sutradhar et ...longitudinal data, the repeated ...
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Inferences About the Distribution of Dominance Drawn From Yeast Gene Knockout Data
... the data: The strength of the data set is in the large number of genes measured rather than the quality of individual ...our analysis, we include only genes for which complete data are avail- ...
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Does the South Atlantic Anomaly influence the ionospheric Sq current system? Inferences from analysis of ground based magnetic data
... are shown in the bottom plots of Figure 1. The left plot depicts their distribution on a global scale and the right plot demonstrates the observatories in the SAA region. Dataset 1 allows to balance the Intermagnet ...
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Comparative analysis of two variants of the Knox test: Inferences from space-time pattern analysis
... Table 2b: The Binned K “ -vehicle crime In Tables 2a and 2b, representing the results of the binned neighbourhood variant of the Knox test, all the cells with statistically significant values are dis- jointed and ...
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Harbour porpoise habitat preferences : robust spatio temporal inferences from opportunistic data
... Environmental data used in the analysis No prey data were available at the required tempo- ral scale within the study ...to data availability and relevance to the oceanographic conditions that ...
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Thinking with data visualisations: cognitive processing and spatial inferences when communicating climate change
... scientific data, but only if they are ...thematic analysis of interviews with IPCC authors, finding that a requirement to uphold scientific accuracy results in complex figures that are difficult for ...
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Multilevel validity : assessing the validity of school-level inferences from student achievement test data
... CHAPTER 5 DISCUSSION It has been nearly 50 years since Ebel (1961) said of validity, “It is universally praised, but the good works done in its name are remarkably few” (p. 640). Validation is the most important aspect ...
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How to Make Causal Inferences with Time-Series Cross-Sectional Data under Selection on Observables
... sensitivity analysis to determine how much of the estimated effect dis- appears under various departures from sequential ignorability ( Blackwell , 2014 ...
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Drawing Inferences and Testing Theories with Big Data
... We now turn to social media data, with a focus on Twitter data in particular. By social media data we refer to data that has distinct characteristics. First, it is posted online by the mass ...
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Quasilikelihood inferences in gamma AR(1) models for longitudinal data
... It is clear from the above discussion that the statistical inference for the present gamma AR(1) model requires the estimation of the so-called regression effects /[r] ...
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