An exact projection pursuit-based algorithm for multivariate two-sample nonparametric testing applicable to retrospective and group sequential studies.

Nonparametric tests for equality of multivariate distributions are frequently desired in research. It is commonly required that test-procedures based on relatively small samples of vectors accurately control the corresponding Type I Error (TIE) rates. Often, in the multivariate testing, extensions of null-distribution-free univariate methods, e.

A Characterization of Most(More) Powerful Test Statistics with Simple Nonparametric Applications.

Data-driven most powerful tests are statistical hypothesis decision-making tools that deliver the greatest power against a fixed null hypothesis among all corresponding data-based tests of a given size. When the underlying data distributions are known, the likelihood ratio principle can be applied to conduct most powerful tests. Reversing this notion, we consider the following questions.

Influence function methods to assess the effectiveness of influenza vaccine with survey data.

Objective: To examine a robust relative risk (RR) estimation for survey data analysis with ideal inferential properties under various model assumptions.

Data Sources: We employed secondary data from the Household Component of the 2000-2016 US Medical Expenditure Panel Survey (MEPS).

Study Design: We investigate a broad range of data-balancing techniques by implementing influence function (IF) methods, which allows us to easily estimate the variability for the RR estimates in the complex survey setting.

Rh2-enriched Korean ginseng (Ginseng Rh2+) inhibits tumor growth and development of metastasis of non-small cell lung cancer.

Background And Objective: While there are multiple studies on the anti-tumoral effects of Panax ginseng as active ingredients (one or more ginsenosides derived from the extract) or as a whole plant extract, there is a lack of studies to assess the effects Panax ginseng's of active ingredients combined with the whole plant extract. Our aim was to study the effect of whole ginseng, enriched in the anti-tumoral Rh2 component and other ginsenosides (Ginseng Rh2+), on the metastatic capacity of non-small cell lung cancer (NSCLC).

Methods: We evaluated the effects of Ginseng Rh2+ on survival, migration and motility, induction of apoptosis, and expression of its apoptosis-related proteins in non-small cell lung cancer (NSCLC) cells in vitro and on primary tumor growth and metastatic capacity in a syngeneic mouse lung cancer model in vivo.

The empirical likelihood prior applied to bias reduction of general estimating equations.

The practice of employing empirical likelihood (EL) components in place of parametric likelihood functions in the construction of Bayesian-type procedures has been well-addressed in the modern statistical literature. The EL prior, a Jeffreys-type prior, which asymptotically maximizes the Shannon mutual information between data and the parameters of interest, is rigorously derived. The focus of the proposed approach is on an integrated Kullback-Leibler distance between the EL-based posterior and prior density functions.