Lectures related to Quasi-experiment

Observational Studies: Pitfalls and Valid Conclusions

Highlights the pitfalls of observational studies and the importance of randomized experiments.

Observational Studies: Pitfalls and Solutions

Explores the challenges of observational studies, emphasizing the importance of randomization and sensitivity analysis in drawing valid conclusions from 'found data'.

Observational Studies: Pitfalls and Solutions

Explores observational studies, pitfalls, solutions, and the importance of valid conclusions in research projects.

Causal Analysis of Observational Data

Covers causal analysis of observational data, pitfalls, tools for valid conclusions, and addressing confounding variables.

Observational Studies: Pitfalls and Solutions

Covers the pitfalls of observational studies, solutions to avoid biases, and the importance of valid conclusions from 'found data'.

Statistical Modeling: Fundamentals and Process Factors

Covers the fundamental concept of statistical modeling and process factors for prediction and optimization.

Ensemble Fondamental: Events Space

Discusses the fundamental set and the events space with illustrative examples.

Design of Experiments Basics

Covers the fundamentals of Design of Experiments (DOE) and experimental strategies.

Mixing Plans: Constraints and Models

Explores mixing plans, constraints, and models in Design of Experiments, emphasizing the importance of degrees of freedom.

Introduction to Probability Theory

Covers the basics of probability theory, including definitions, calculations, and important concepts for statistical inference and machine learning.

Design of Experiment: Qualitative Factors

Explores the design of experiments through a comic scenario and provides guidance on course materials, exercises, readings, examples, and project assignments.

Response Surfaces: Design of Experiments Methodology

Covers the methodology of design of experiments, focusing on response surfaces and optimizing factor combinations.

Evaluating Learning Technologies: Randomized Experiments Insights

Discusses the impact of live streaming lectures on student performance and attendance, revealing varied effects based on student ability levels.

Timber Plate Structural Design: Applications and Case Studies

Covers advanced timber plate structural design and analysis methods.

Protein Mass Spectrometry and Proteomics: Randomization Overview

Explores the significance of randomization in protein mass spectrometry and proteomics, highlighting its role in minimizing bias and ensuring research validity.

Methodology of Design of Experiments

Explores the basics of statistics, the significance of experimental designs, and their practical applications in various fields.

Causal Inference: Estimands and Ontologies

Explores causal inference, emphasizing the importance of committing to an ontology for drawing causal inferences and selecting appropriate estimands.

Measure Worm Movement

Discusses a brightfield dataset with time series showing the impact of different conditions on worm movement.

DOE Qualitative factors III

Explores qualitative factors in Design of Experiments, including Latin squares, factorial designs, and ANOVA tables.

Assessing Market Regulation

Explores the assessment of market regulation, focusing on high-frequency trading and the impact of regulatory changes on liquidity and market quality.