Results 81 to 90 of about 518,148 (296)

An Innovative Blended Preclinical Curriculum in Clinical Epidemiology and Biostatistics: Impact on Student Satisfaction and Performance.

open access: yesAcademic medicine : journal of the Association of American Medical Colleges, 2016
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]

open access: yesKorean Journal of Anesthesiology, 2016
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]

open access: yesarXiv, 2022
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

open access: yesIndian Journal of Dermatology, 2016
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]

open access: yesKorean Journal of Anesthesiology, 2015
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]

open access: yesarXiv, 2020
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]

open access: yesarXiv, 2022
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]

open access: yes
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

Statistical lessons learned for designing cluster randomized pragmatic clinical trials from the NIH Health Care Systems Collaboratory Biostatistics and Design Core

open access: yesClinical Trials, 2016
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]

open access: yesarXiv, 2020
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  

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