Exact(16)
Confirmatory factor analysis (CFA) is a statistical strategy specifically designed to identify and explore hypothetical constructs as manifest in fallible indicators.
A statistical strategy in experimental design is devised to predict the optimal conditions in esterification of palmitic acid with excess methanol over a solid acid catalyst, viz.
But studies conducted at Oxford, Duke, the University of Manchester and the Canadian Coordinating Office for Health Technology that used a statistical strategy called meta-analysis to combine the results of hundreds of independent studies found that S.S.R.I.'s were as effective as tricyclic antidepressants or slightly less effective.
A statistical strategy was developed to evaluate earthquake hazards by specifying the estimated recurrence interval and conditional probability values from these probability distributions.
With propensity score matching, a researcher can use observed predictor factors, usually obtained from a statistical strategy called logistic regression, to create a counterfactual group—essentially building a virtual control group and a virtual treatment group.
To take account of both experimental and inter-individual variability, a statistical strategy was adopted.
Similar(44)
When a review makes an effort to comprehensively identify and trace all of the literature on a given topic (also referred to as a systematic literature review), meta-analysis is a particular statistical strategy for bringing together the results of several studies to produce a single estimate (Sackett et al, 2007).
In this article, we propose a new statistical strategy for integrating the concept of maternal-zygotic interactions into a mapping framework for the detection of imprinting QTLs.
A new statistical strategy is thus proposed for the RVE size determination.
A sequential statistical strategy was used to optimize tannase production from Aspergillus tubingensis using tea stalks by solid-state fermentation.
A standard statistical strategy in human genetics and genetic epidemiology is to assess the quality of each SNP using a chi-square test of independence followed by a correction of the significance level that takes into account an increased false positive (i.e. type I error) rate due to multiple tests.
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