Cancer Statistics, 2008
Each year, the American Cancer Society estimates the number of new cancer cases and deaths expected in the United States in the current year and compiles the most recent data on...
Publications
Explore 961 academic publications
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961 publications
Posterior Summarization in Bayesian Phylogenetics Using Tracer 1.7
Bayesian inference of phylogeny using Markov chain Monte Carlo (MCMC) plays a central role in understanding evolutionary history from molecular sequence data. Visualizing and an...
Partial least squares structural equation modeling (PLS-SEM)
Purpose – The authors aim to present partial least squares (PLS) as an evolving approach to structural equation modeling (SEM), highlight its advantages and limitations and prov...
QUAST: quality assessment tool for genome assemblies
Abstract Summary: Limitations of genome sequencing techniques have led to dozens of assembly algorithms, none of which is perfect. A number of methods for comparing assemblers h...
Sensitivity of Goodness of Fit Indexes to Lack of Measurement Invariance
Two Monte Carlo studies were conducted to examine the sensitivity of goodness of fit indexes to lack of measurement invariance at 3 commonly tested levels: factor loadings, inte...
Immediate Psychological Responses and Associated Factors during the Initial Stage of the 2019 Coronavirus Disease (COVID-19) Epidemic among the General Population in China
Background: The 2019 coronavirus disease (COVID-19) epidemic is a public health emergency of international concern and poses a challenge to psychological resilience. Research da...
Why Most Published Research Findings Are False
There is increasing concern that most current published research findings are false. The probability that a research claim is true may depend on study power and bias, the number...
How Much Should We Trust Differences-In-Differences Estimates?
Most papers that employ Differences-in-Differences estimation (DD) use many years of data and focus on serially correlated outcomes but ignore that the resulting standard errors...
Deciding on the Number of Classes in Latent Class Analysis and Growth Mixture Modeling: A Monte Carlo Simulation Study
Abstract Mixture modeling is a widely applied data analysis technique used to identify unobserved heterogeneity in a population. Despite mixture models' usefulness in practice, ...
Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups
Most current speech recognition systems use hidden Markov models (HMMs) to deal with the temporal variability of speech and Gaussian mixture models (GMMs) to determine how well ...
Symbolic Interactionism: Perspective and Method.
This is a collection of articles dealing with the point of view of symbolic interactionism and with the topic of methodology in the discipline of sociology. It is written by the...
Wireless Communications
Wireless technology is a truly revolutionary paradigm shift, enabling multimedia communications between people and devices from any location. It also underpins exciting applicat...