Family-wise error rate

Formal sciences
Statistics
Statistical inference
Statistical hypothesis testing

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (20)

Page 2 of 2

Analysis of Variance: Principles and Applications

Explores the principles and applications of Analysis of Variance (ANOVA), including test hypotheses, models, assumptions, and post-hoc tests.

Evaluation of Binary Classifiers

Discusses the evaluation of binary classifiers, including recall, sensitivity, specificity, ROC curves, and performance measures.

Protein Mass Spectrometry and Proteomics: Search Engines and Database Algorithms

Explores protein mass spectrometry, search engines, and quantification methods in proteomics.

Understanding ROC Curves

Explores the ROC curve, True Positive Rate, False Positive Rate, and prediction probabilities in classification models.

Introduction to Comparison Statistics

Introduces comparison statistics, error rates, hypothesis testing, and real-life examples of treatment effectiveness and weightlifting analysis.

Statistical Theory: Inference and Optimality

Explores constructing confidence regions, inverting hypothesis tests, and the pivotal method, emphasizing the importance of likelihood methods in statistical inference.

Probability: Quiz

Covers probability scenarios and includes a quiz using Kahoot.

Hypothesis Testing and ROC Curves

Covers hypothesis testing steps and introduces ROC curves for test comparison.

Optimal Tests for Simple Hypotheses

Discusses optimal tests for simple hypotheses and the significance of standardized distance in hypothesis testing.

Performance Criteria: Confusion Matrix, Recall, Precision, Accuracy

Explores performance criteria in supervised learning, emphasizing precision, recall, and specificity in model evaluation.