Results 81 to 90 of about 518,148 (296)
PROBLEM There is little understanding of the impact of teaching clinical epidemiology and biostatistics in a flipped or blended format. At Stanford University School of Medicine, the quantitative medicine (QM) curriculum for first-year students was ...
Kambria H. Evans+6 more
semanticscholar +1 more source
Significant results: statistical or clinical? [PDF]
The null hypothesis significance test method is popular in biological and medical research. Many researchers have used this method for their research without exact knowledge, though it has both merits and shortcomings. Readers will know its shortcomings,
Sangil Park
doaj +1 more source
Sequential monitoring using the Second Generation P-Value with Type I error controlled by monitoring frequency [PDF]
Many adaptive monitoring schemes adjust the required evidence toward a hypothesis to control Type I error. This shifts focus away from determining scientific relevance with an uncompromised degree of evidence. We propose sequentially monitoring the Second Generation P-Value (SGPV) on repeated intervals until establishing evidence for scientific ...
arxiv
Biostatistics Series Module 4: Comparing Groups – Categorical Variables
Categorical variables are commonly represented as counts or frequencies. For analysis, such data are conveniently arranged in contingency tables. Conventionally, such tables are designated as r × c tables, with r denoting number of rows and c denoting ...
A. Hazra, N. Gogtay
semanticscholar +1 more source
T test as a parametric statistic [PDF]
In statistic tests, the probability distribution of the statistics is important. When samples are drawn from population N (µ, σ2) with a sample size of n, the distribution of the sample mean X̄ should be a normal distribution N (µ, σ2/n).
Tae Kyun Kim
doaj +1 more source
Prediction of Drug Synergy by Ensemble Learning [PDF]
One of the promising methods for the treatment of complex diseases such as cancer is combinational therapy. Due to the combinatorial complexity, machine learning models can be useful in this field, where significant improvements have recently been achieved in determination of synergistic combinations.
arxiv
Co-citation and Co-authorship Networks of Statisticians [PDF]
We collected and cleaned a large data set on publications in statistics. The data set consists of the coauthor relationships and citation relationships of 83, 331 papers published in 36 representative journals in statistics, probability, and machine learning, spanning 41 years.
arxiv
lawstat: An R Package for Law, Public Policy and Biostatistics [PDF]
We present a new R software package lawstat that contains statistical tests and procedures that are utilized in various litigations on securities law, antitrust law, equal employment and discrimination as well as in public policy and biostatistics. Along
Joseph L. Gastwirth+2 more
core +1 more source
Background/aims: Pragmatic clinical trials embedded within health care systems provide an important opportunity to evaluate new interventions and treatments. Networks have recently been developed to support practical and efficient studies.
A. Cook+4 more
semanticscholar +1 more source
BioStatFlow -Statistical Analysis Workflow for "Omics" Data [PDF]
BioStatFlow is a free web application, useful to facilitate the performance of statistical analyses of "omics", including metabolomics, data using R packages. It is a fast and easy on-line tool for biologists who are not experts in univariate and multivariate statistics, do not have time to learn R language, and only have basic notions in biostatistics.
arxiv