Search Results - Social sciences Statistical methods Data processing

Structural equation modeling : applications using Mplus by Wang, Jichuan, Wang, Xiaoqian

“… The statistical modeling program, Mplus, is also featured and provides researchers with a flexible tool to analyze their data with an easy-to-use interface and graphical displays of data and analysis results. Key features…”
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Data mining for the social sciences: an introduction by Attewell, Paul, Monaghan, David

“… Providing a simple and accessible introduction to data mining, Paul Attewell and David B. Monaghan discuss how data mining substantially differs from conventional statistical modeling familiar to most social scientists…”
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Structural equation modeling : applications using Mplus by Wang, Jichuan, Wang, Xiaoqian

“…), this book demonstrates basic concepts and examples of various SEM models, along with updates on many advanced methods, including confirmatory factor analysis (CFA…”
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Multivariate Generalized Linear Mixed Models Using R by Berridge, Damon Mark, Crouchley, Robert

“…In medical and social science research, MGLMMs help disentangle state dependence from incidental parameters…”
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Quantile regression : theory and applications by Davino, Cristina, Furno, Marilena, Vistocco, Domenico

“…A guide to the implementation and interpretation of Quantile Regression models This book explores the theory and numerous applications of quantile regression, offering empirical data analysis as well…”
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Structural Equation Modeling with Mplus: Basic Concepts, Applications, and Programming by Byrne, Barbara M

“…[This book] reviews the basic concepts and applications of SEM using Mplus Version 6. ... The first two chapters introduce the fundamental concepts of SEM and…”
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Regression analysis by example by Chatterjee, Samprit, Hadi, Ali S.

“… It has been and still is readily readable and understandable." —Journal of the American Statistical Association Regression analysis is a conceptually simple method for investigating relationships among variables…”
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Introducing Lisrel: a guide for the uninitiated by Diamantopoulos, A, Siguaw, Judy

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Skin problems of Korean military personnel changes in the use of cosmetics and differences in preference according to different characteristics: Focused on comparison pre‐ and post‐enlistment by Lee, Jinkyung, Kwon, Ki Han

“… Methods We enrolled 450 people, after excluding 50 dishonest respondents. Statistical data processing collected with the data analysis method were analyzed using…”
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Recognition and development of customized cosmetics for military trainees in 20s and 30s in Republic of Korea by Lee, Jinkyung, Kwon, Ki Han

“… Methods Statistical processing of materials collected by the data analysis method is analyzed using the SPSS…”
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Characteristics of choice and satisfaction regarding the use of ultraviolet blockers in the golf population in Republic of Korea: A quantitative study by Choi, Jiahn, Kwon, Ki Han

“… A questionnaire survey was conducted for an analysis of the effect of product satisfaction.MethodsStatistical processing of materials collected by the data analysis method is analyzed using the Statistical Package for Social Science WIN…”
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Analysis of length of hospital stay using electronic health records: A statistical and data mining approach by Baek, Hyunyoung, Cho, Minsu, Kim, Seok, Hwang, Hee, Song, Minseok, Yoo, Sooyoung

“… Research subjects were retrieved from a database of patients admitted to a tertiary general university hospital in South Korea between January and December 2013…”
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An accurate and robust imputation method scImpute for single-cell RNA-seq data by Li, Wei Vivian, Li, Jingyi Jessica

“… We introduce scImpute, a statistical method to accurately and robustly impute the dropouts in scRNA-seq data…”
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Bayes factors for forensic decision analyses with R by Bozza, Silvia, Taroni, Franco, Biedermann, Alex

“… With its primary focus on Bayes factors supported by data sets, this book features an operational perspective, practical relevance, and applicability…”
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Best practices and tools in R and Python for statistical processing and visualization of lipidomics and metabolomics data by Idkowiak, Jakub, Dehairs, Jonas, Schwarzerová, Jana, Olešová, Dominika, Truong, Jacob X. M., Kvasnička, Aleš, Eftychiou, Marios, Cools, Ruben, Spotbeen, Xander, Jirásko, Robert, Veseli, Vullnet, Giampà, Marco, de Laat, Vincent, Butler, Lisa M., Weckwerth, Wolfram, Friedecký, David, Demeulemeester, Jonas, Hron, Karel, Swinnen, Johannes V., Holčapek, Michal

“…Mass spectrometry-based lipidomics and metabolomics generate extensive data sets that, along with metadata such as clinical parameters, require specific data exploration skills to identify…”
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MRIQC: Advancing the automatic prediction of image quality in MRI from unseen sites by Esteban, Oscar, Birman, Daniel, Schaer, Marie, Koyejo, Oluwasanmi O., Poldrack, Russell A., Gorgolewski, Krzysztof J.

“…Quality control of MRI is essential for excluding problematic acquisitions and avoiding bias in subsequent image processing and analysis…”
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Machine Learning and Natural Language Processing in Mental Health: Systematic Review by Le Glaz, Aziliz, Haralambous, Yannis, Kim-Dufor, Deok-Hee, Lenca, Philippe, Billot, Romain, Ryan, Taylor C, Marsh, Jonathan, DeVylder, Jordan, Walter, Michel, Berrouiguet, Sofian, Lemey, Christophe

“… Natural language processing (NLP), by using corpora and learning approaches, provides good performance in statistical tasks, such as text classification or sentiment mining…”
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Understanding The New Statistics: Effect Sizes, Confidence Intervals, and Meta-Analysis by Cumming, Geoff

“…This is the first book to introduce the new statistics - effect sizes, confidence intervals, and meta-analysis - in an accessible way. It is chock full of…”
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Forecasting influenza in Hong Kong with Google search queries and statistical model fusion by Xu, Qinneng, Gel, Yulia R., Ramirez Ramirez, L. Leticia, Nezafati, Kusha, Zhang, Qingpeng, Tsui, Kwok-Leung

“…The objective of this study is to investigate predictive utility of online social media and web search queries, particularly, Google search data, to forecast new cases of influenza-like-illness (ILI…”
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How to develop, test, and extend multinomial processing tree models: A tutorial by Schmidt, Oliver, Erdfelder, Edgar, Heck, Daniel W

“… Multinomial processing tree (MPT) models are a class of cognitive models for discrete responses that allow researchers to disentangle and measure such processes…”
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