Multiple testing procedure

The data collected using purposive sampling and Slovin formula. The hypothesis of this research is tested by multiple linier regression. The research results showed that the variable site design, informative, security and communication have a partialy significant effect to the online shopping customer satisfaction, while the convenience of shopping variable is not significant. This understandable because each online store has different system and procedure that incovenience for consumers.

9p longtimenosee10 26-04-2024 4 1   Download

Part 2 book "Probability and statistics for engineering and the sciences" includes content: Inferences based on two samples; the analysis of variance; multifactor analysis of variance; simple linear regression and correlation; nonlinear and multiple regression; goodness of fit tests and categorical data analysis; distribution free procedures; quality control methods.

416p muasambanhan06 01-02-2024 5 1   Download

One challenge facing omics association studies is the loss of statistical power when adjusting for confounders and multiple testing. The traditional statistical procedure involves fitting a confounder-adjusted regression model for each omics feature, followed by multiple testing correction.

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In complex large-scale experiments, in addition to simultaneously considering a large number of features, multiple hypotheses are often being tested for each feature. This leads to a problem of multi-dimensional multiple testing.

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Often researchers are interested in comparing multiple experimental groups (e.g. tumor size) with a reference group (e.g. normal tissue) on the basis of thousands of features (e.g. genes) and determine if a differentially expressed feature is up or down regulated in a pairwise comparison.

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Stability of multiple testing procedures, defined as the standard deviation of total number of discoveries, can be used as an indicator of variability of multiple testing procedures. Improving stability of multiple testing procedures can help to increase the consistency of findings from replicated experiments.

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An underestimated FDR can lead to unexpected false discoveries in the follow-up validation experiments. This issue has not been well addressed in literature, especially in the situation when the permutation procedure is necessary for p-value calculation.

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QPCR has established itself as the technique of choice for the quantification of gene expression. Procedures for conducting qPCR have received significant attention; however, more rigorous approaches to the statistical analysis of qPCR data are needed.

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Procedures for controlling the false discovery rate (FDR) are widely applied as a solution to the multiple comparisons problem of high-dimensional statistics. Current FDR-controlling procedures require accurately calculated p-values and rely on extrapolation into the unknown and unobserved tails of the null distribution.

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In this research, two common varieties of cabbage grown in Kisii County were selected and used to evaluate and identify the availability of cabbage germplasm resistant to black rot disease. The two varieties used were Copenhagen market variety labeled as V1 and Gloria F1 Hybrid variety labelled as V2. Seeds from the two varieties were both inoculated with104 CFU/ml suspensions of Xanthomonas campestris pv. Campestris field bacterial isolates before establishing the seeds in separate Greenhouse nursery beds.

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Since such a fund is determined according to a pre-ranking of all fund alphas, a correct inference about its alpha must take into account the entire cross-section of the fund alphas3. In this context, they advocate to use a bootstrap procedure, and conclude that they account for luck in the sense that they correctly compute the p-values of the individual funds4. This definition of luck is not related to the issue of multiple testing investigated in this paper.

301p dangsuynghi 15-03-2013 53 8   Download

This article summarizes expertise gleaned from the first years of Internet-based experimental research and presents recommendations on: (1) ideal circumstances for conducting a study on the Internet; (2) what precautions have to be undertaken in Web experimental design; (3) which techniques have proven useful in Web experimenting; (4) which frequent errors and misconceptions need to be avoided; and (5) what should be reported. Procedures and solutions for typical challenges in Web experimenting are discussed.

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Economics: Evaluation of the traffic-related health impacts and their monetarisation: Using epidemiological data regarding the relation between air pollution and morbidity and premature mortality, the number of cases of morbidity and/or premature mortality attributed to air pollution is determined for each of the health outcomes separately, using specific exposure-response functions. The same operations are carried out for the theoretical situation in which there is no road traffic-related air pollution.

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People remember information presented at the beginning and at the end of a session more easily than they do the information presented in the middle. Health care workers should tell the patient what is expected of him or her before they explain test results, the expected outcome of a procedure, or treatment. The health care worker should organize the topics to be discussed in the order of their importance. he most essential topics (such as the importance of completing the treatment or the importance of identifying side effects) should be discussed first and last.

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One of the key areas the Board wants to pursue in the coming years continues to be Clinical Skills Assessment. This testing procedure would measure the clinical skills not only of new doctors, but of physicians coming into the state from elsewhere, who have been away from practice for an extended period or who may have had multiple medical malpractice payments or other problems. In 2004, the National Medical Board of Examiners began requiring all new physicians to pass a clinical skills exam. But there are only five locations nationwide where such physicians may take the test.

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The nature of the reading skills Initial stages of reading: matching tests Intermediate and advanced stages of reading: matching tests True/false reading tests Multiple choice items Completion items Rearrangement items Cloze procedure Open – ended and miscellaneous items Cursory reading

20p namson94 20-07-2012 322 102   Download

In panel data models (as in single-equation multiple-regression models) we are interested in testing two types of hypotheses: hypotheses about the variances and covariances of the stochastic error terms and hypotheses about the regression coefficients. The general to simple procedure provides a good guide.

7p hgiang 11-03-2009 357 51   Download