Jasp software v 0
JASP is a free and open-source statistical software package, currently in version 0.18. It provides a user-friendly interface for conducting a wide range of statistical analyses, including t-tests, ANOVA, regression, and more. JASP is designed to be an intuitive and accessible tool for researchers, students, and data analysts.
Lab products found in correlation
8 protocols using jasp software v 0
Muscle Fiber Composition Analysis
Preterm Premature Rupture of Membranes Outcomes
A correlation analysis of length of stay with GA at rupture of membranes (ROM), GA at delivery and lowest AFI level during the pregnancy was performed. The correlation coefficient is expressed as Pearsons's coefficient or Spearman's coefficient where appropriate based on the normality of the data as determined by the Shapiro Wilktest. For all statistical tests, statistical significance was accepted at a p-value less than 0.05. Study data was analyzed using JASP software (v 0.18). [11]
Effectiveness of Exercise Training on Cardiometabolic Outcomes
Optimizing Cellular Assays and Analytics
Statistical Analysis of SPION Uptake in BM-MNC
Comparative Behavioral Analysis Across Groups
Genetic Ancestry Inference and Statistical Analysis
Multimodal Approach to Attention Prediction
ROC analysis was performed for the GLM binomial model. Each model was used to predict the attention performance based on EEG, ΔHbO, and NVC metrics for each miniblock at a single subject level. We calculated the false positive rate (FPR, 1-specificity) and true positive rate (TPR, sensitivity) and generated the ROC curve by varying the p-value threshold (0 to 1). The AUC of the ROC can be calculated to quantify the overall performance of each model. A higher AUC indicates that the model performs better in predicting the behavior. To compare the performance of different models, a one-way repeated ANOVA test was employed to evaluate the difference in these metrics among the models based on EEG, ΔHbO, and NVC metrics.
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