Lectures related to Scientific control

Disentangling Confounding and Nonsense Associations

Explores statistical dependence, confounding, and causal inference methods, emphasizing the distinction between existing and new approaches.

Hydrogenation and Dehydrogenation of Pyridines and Quinolines

Explores the hydrogenation and dehydrogenation of pyridines and quinolines, emphasizing catalyst performance and practical applications in pharmaceuticals and energy storage.

Clinical Trials: Phases and Challenges

Covers clinical trial phases, challenges in rare diseases, and placebo control.

Understanding Cohen's d Effect Size

Delves into interpreting Cohen's d effect size in research studies and its significance in educational research.

Photography History and Theory: Machine

Delves into the history and theory of photography, emphasizing the role of the camera as a pure recording tool and the significance of snapshots in capturing reality.

Research Design: Intermediate Variables

Emphasizes specificity in defining variables and the importance of incorporating intermediate variables in educational studies.

Simpson's Paradox: Understanding and Randomized Trials

Explores Simpson's Paradox with a real-world example and emphasizes the significance of randomized trials.

Causality and Clinical Studies

Explores causality, clinical studies, new drug evaluation, confounding factors, and data analysis methods.

Experimental Design in Biostatistics

Introduces experimental design in biostatistics, covering research process, hypothesis testing, ANOVA modeling, and interpretation of results.

Causal Inference: Understanding Treatment Effects

Explores treatment effects, confounding variables, and challenges in interpreting observational study results.

Causal Analysis of Observational Data

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

Experimental Design: Strategies and Analysis

Discusses experimental design strategies, factors, responses, treatment combinations, and degrees of freedom.

Randomized Trials and Simpson's Paradox

Covers randomized clinical trials, confounding variables, ethical challenges, and Simpson's paradox in data analysis.

Chaos Engineering: Advanced Principles

Covers advanced principles of Chaos Engineering, emphasizing risk management and minimizing user impact.

Experimental Design: Variables and Hypotheses

Covers research questions, hypotheses, variables, and experimental designs in learning experiments.

Introduction to Feedback Control Systems: Concepts and Applications

Covers the principles of feedback control systems and their applications in various fields.