Causality and Clinical Studies

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Related lectures (24)

Page 1 of 3

Randomized Trials and Simpson's Paradox

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

Simpson's Paradox: Understanding and Randomized Trials

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

Drug Development and Regulations: Europe

Explores drug development and regulations in Europe, focusing on clinical trials, regulatory frameworks, and marketing authorization procedures.

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.

Clinical Trials: Phases and Challenges

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

Drug Development and Ethical Principles

Explores the historical aspects of drug development, regulatory agencies, and ethical principles in pharmacology, emphasizing the importance of informed consent and human subject protection.

Preclinical Animal Models: Selection & Rationale

Explores the selection and rationale of preclinical animal models in drug development, emphasizing the 10 to 15-year path to a marketed small-molecule drug.

Implementation Research: Strategies and Results

Explores implementation research strategies, outcomes, and scaling-up challenges in real-world settings.

Causal Analysis of Observational Data

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

Epidemiological Parameters Inference from Clinical Data

Explores the challenges of inferring epidemiological parameters from clinical data, focusing on COVID-19 and the complexities of estimating infection fatality ratios.