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Related Concept Videos

Statistical Package for the Social Sciences (SPSS)01:22

Statistical Package for the Social Sciences (SPSS)

The Statistical Package for the Social Sciences, or SPSS, is a data management and analysis software suite. Developed by SPSS Inc. in 1968 and acquired by IBM in 2009, this tool was initially designed for social science data analysis, evolving to serve a wider range of disciplines. It was later renamed to Statistical Product and Service Solutions.
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Statistical Methods to Analyze Parametric Data: ANOVA01:12

Statistical Methods to Analyze Parametric Data: ANOVA

Analysis of Variance, or ANOVA, is a powerful statistical technique used to analyze parametric data, primarily in research and experimental studies. It's designed to compare the means of two or more groups, assisting researchers in identifying any significant differences between these group means. There are two main types of ANOVA based on the complexity of the analysis: one-way and two-way.
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Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and Cox...
Two-Way ANOVA01:17

Two-Way ANOVA

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Statistical Analysis System (SAS)01:14

Statistical Analysis System (SAS)

SAS, short for Statistical Analysis System, is a powerful data analysis, management, and visualization tool. Developed by the SAS Institute in the early 1970s, SAS has evolved into a comprehensive software suite used across various industries for statistical analysis, business intelligence, and predictive modeling.
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Friedman Two-way Analysis of Variance by Ranks

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Related Experiment Video

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Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language
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[Analysis of binary classification repeated measurement data with GEE and GLMMs using SPSS software].

Shengli An1, Yanhong Zhang, Zheng Chen

  • 1Department of Bio-Statistics, School of Public Health and Tropical Medicine, Southern Medical University, Guangzhou 510515, China. ASL0418@126.com

Nan Fang Yi Ke Da Xue Xue Bao = Journal of Southern Medical University
|December 27, 2012
PubMed
Summary

SPSS 19.0 offers a convenient method for analyzing repeated binary classification data using generalized estimating equations (GEE) and generalized linear mixed models (GLMMs). This statistical software facilitates the analysis of categorical repeated measurement data.

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Area of Science:

  • Statistics
  • Biostatistics
  • Data Analysis

Context:

  • Repeated measurement data analysis is crucial in various scientific fields.
  • Generalized Estimating Equations (GEE) and Generalized Linear Mixed Models (GLMMs) are advanced statistical methods for analyzing such data.
  • Software accessibility and ease of use are important for researchers.

Purpose:

  • To evaluate the utility of SPSS 19.0 for analyzing binary classification repeated measurement data.
  • To compare the analytical capabilities of SPSS 19.0 with other statistical software (e.g., SAS) for GEE and GLMMs.
  • To demonstrate the application of GEE and GLMMs in SPSS 19.0 for categorical data.

Summary:

  • This study analyzed binary classification repeated measurement data using generalized estimating equations (GEE) and generalized linear mixed models (GLMMs) within SPSS 19.0.
  • The models were tested on a sample dataset to assess their performance and applicability.
  • SPSS 19.0 proved to be a user-friendly platform for conducting these complex statistical analyses.

Impact:

  • SPSS 19.0 provides a convenient and accessible tool for researchers to perform sophisticated analyses on categorical repeated measurement data.
  • The findings support the use of SPSS 19.0 for biostatistical research involving GEE and GLMMs.
  • This enhances the ability of researchers to derive meaningful insights from longitudinal and clustered data using readily available software.