I would certainly recommend, without any reservations, the use of this book in an undergraduate or graduate course on research and statistical methods
in the social sciences.
The statistical methods
that we compared were a) the EWAS approach; b) EWAS followed by a multiple regression step including the identified hits; c) ENET, a penalized regression method; d) sPLS regression, a supervised dimension reduction method; e) the Graphical Unit Evolutionary Stochastic Search (GUESS) algorithm, a computationally optimized Bayesian variable selection method (Bottolo et al.
KEY WORDS: Biostatistics, Statistical analysis, Study design, Statistical methods
, Bibliometric analysis.
When the team members analyzed the Indian monsoon data using their statistical methods
, they discovered that although the average total rainfall during the monsoon season has declined, the variability of rainfall during the peak monsoon months has increased.
The lack or improper use of statistical methods
are factors that affect the scientific development (SCHWARTZ et al., 1997).
The first article in the series, by Linnet and coworkers, reviews statistical methods
used for the evaluation of single biomarkers (4).
As a result, the analysis must be completed by using different statistical methods
that use circular variables, taking both direction and distance into account.
Sami was of the view that the workshop would help young researchers in developing a clear understanding of analyzing biological data, using correct statistical methods
including interpretation of results and reporting in statistical language.
This text is intended for molecular biologists who perform quantitative analyses and for statisticians who work with molecular biologists and other biomedical researchers and aims to balance the needs of these two audiences by progressively introducing basic to intermediate statistical methods
and demonstrating their application to the various biological data generated from the field of molecular biology and the types of questions of interest to molecular biologists.
New statistical methods
could offer a more accurate assessment than traditional methods, Benjamin Baumer reported August 5.
The application includes a range of basic statistical methods
and advanced multivariate statistical methods
, such as descriptive statistics, t-test, f-test, nonparametric test, factor analysis, principal component analysis, cluster analysis, discrimination analysis, and correspondence analysis.