Generalized estimating equation models for correlated data: A review with applications

CJW Zorn - American Journal of Political Science, 2001 - JSTOR
Political scientists are often called upon to estimate models in which the standard
assumption that the data are conditionally independent can be called into question. I review …

Lung segmentation and automatic detection of COVID-19 using radiomic features from chest CT images

C Zhao, Y Xu, Z He, J Tang, Y Zhang, J Han, Y Shi… - Pattern Recognition, 2021 - Elsevier
This paper aims to develop an automatic method to segment pulmonary parenchyma in
chest CT images and analyze texture features from the segmented pulmonary parenchyma …

[PDF][PDF] Statsmodels: econometric and statistical modeling with python.

S Seabold, J Perktold - SciPy, 2010 - pdfs.semanticscholar.org
Statsmodels (http://statsmodels. sourceforge. net/) is a library for statistical and econometric
analysis in Python 1. Its intended audience is both theoretical and applied statisticians and …

Multivariate data analysis

JF Hair - 2009 - digitalcommons.kennesaw.edu
For over 30 years, this text has provided students with the information they need to
understand and apply multivariate data analysis. Hair, et. al provides an applications …

Smartphone adoption and use in agriculture: empirical evidence from Germany

M Michels, W Fecke, JH Feil, O Musshoff, J Pigisch… - Precision …, 2020 - Springer
Smartphone technology is promising for the future development of agriculture, as it can
facilitate and improve many operational procedures and can also be combined with …

[图书][B] Extending the linear model with R: generalized linear, mixed effects and nonparametric regression models

JJ Faraway - 2016 - api.taylorfrancis.com
Start Analyzing a Wide Range of Problems Since the publication of the bestselling, highly
recommended first edition, R has considerably expanded both in popularity and in the …

Mediation analysis and categorical variables: The final frontier

D Iacobucci - Journal of Consumer Psychology, 2012 - Elsevier
Many scholars are interested in understanding the process by which an independent
variable affects a dependent variable, perhaps in part directly and perhaps in part indirectly …

[图书][B] Multilevel analysis: Techniques and applications

J Hox, M Moerbeek, R Van de Schoot - 2017 - taylorfrancis.com
Applauded for its clarity, this accessible introduction helps readers apply multilevel
techniques to their research. The book also includes advanced extensions, making it useful …

[图书][B] Categorical data analysis

A Agresti - 2012 - books.google.com
Praise for the Second Edition" A must-have book for anyone expecting to do research and/or
applications in categorical data analysis."—Statistics in Medicine" It is a total delight reading …

Springer series in statistics

P Bickel, P Diggle, S Fienberg, U Gather, I Olkin… - Principles and Theory …, 2009 - Springer
The idea for this book came from the time the authors spent at the Statistics and Applied
Mathematical Sciences Institute (SAMSI) in Research Triangle Park in North Carolina …