Posterior predictive checks. by Enrico R. Crema (2634055)

Validation and predictive accuracy of the cerebrovascular model, by Hadi Esfandi (21387211)

“…A larger variability in resistance is observed in L4 compared to upper layers. …”

Comparison of predictive capabilities of visual ASPECTS and threshold-based ASPECTS. by Adrian Mak (2300965)

Subjects:

Quantitative GRE percentiles are significantly correlated to the time it takes students to graduate with a PhD. by Taylor Walters (14271581)

Graduate level GPA is not significantly correlated to the time it takes students to graduate with a PhD. by Taylor Walters (14271581)

Test of significance of neural network performance metrics relative to SVM. by Rock Christian Tomas (12003669)

Subjects:

Anxiety associations with metacognitive and predictive bias. by Sarah M. Tashjian (5615795)

Demographic distributions of the patients and significant differences between the training and test datasets. by Kenta Ninomiya (9969368)

WT1 and LANA expression correlate with decreased T cell infiltrates. by Ayana E. Morales (17756335)

Average tumor tumor volume reduction rate and significance probability by group using a prediction-based statistical simulation (n = 3). by Seon Min Lee (8599773)

“…<p>Average tumor tumor volume reduction rate and significance probability by group using a prediction-based statistical simulation (n = 3).…”

Supplementary Material for: Validation of a urine- based proteomics test to predict clinically significant prostate cancer: complementing mpMRI pathway by Frantzi M. (20149656)

“…A major clinical need is to accurately predict clinically significant PCa (csPCa). A proteomics-based 19-biomarker model (19-BM) was previously developed using capillary electrophoresis-mass spectrometry (CE-MS) and validated in 1000 patients at risk for PCa. …”

Table1_Deep learning-based prediction for significant coronary artery stenosis on coronary computed tomography angiography in asymptomatic populations.docx by Heesun Lee (3143349)

“…Our DL-based model demonstrated a better prediction than the PCE (AUC, 0.719), CAD consortium score (AUC, 0.696), and UDF score (AUC, 0.705). …”

Data Sheet 1_Construction of a clinically significant prostate cancer risk prediction model based on traditional diagnostic methods.docx by Wen-Tong Ji (20457248)

“…Objectives<p>to construct a prediction model for clinically significant prostate cancer (csPCa) based on prostate-specific antigen (PSA) levels, digital rectal examination (DRE), and transrectal ultrasonography (TRUS).…”

Data Sheet 2_Construction of a clinically significant prostate cancer risk prediction model based on traditional diagnostic methods.docx by Wen-Tong Ji (20457248)

“…Objectives<p>to construct a prediction model for clinically significant prostate cancer (csPCa) based on prostate-specific antigen (PSA) levels, digital rectal examination (DRE), and transrectal ultrasonography (TRUS).…”

Prediction comparison for model based on the Lorenz system. by HsinKai Wang (14312358)

Subjects:

Predicted ranks for the metabolites present in a ratio significantly associated with the rs603424 SNP. by Juliette Cooke (11402543)

Ten most significant predicted effects of siRNA perturbation screens, targeting all human kinases. by Kieran Elmes (11127506)

Predictive relevance of the model. by Xinxiang Gao (18320171)

Contingency table and predictive values for classification of individuals based on NW and NH measurements. by Roberto Scendoni (15401399)

Change in rectal temperature following pre-medication, induction and inhalant anesthesia. by Jacob P. Rastas (20642173)

Subjects: