Causal Inference in Epidemiology: Pregnancy and Prostate Cancer

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Observational Studies: Pitfalls and Solutions

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

Causal Effects Bounds: Sensitivity Parameters on Risk Difference Scale

Explores deriving bounds for causal effects using sensitivity parameters on the risk difference scale, addressing limitations and proposing new approaches.

Observational Studies: Pitfalls and Solutions

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

Disentangling Confounding and Nonsense Associations

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

Male Reproductive System Anatomy

Explains the male reproductive system anatomy, including vas deferens, prostate, and seminal vesicles.

In Vitro Fertilization

Covers the process of in vitro fertilization (IVF), from preventing premature ovulation to embryo transfer, and the associated risks and side effects.

Causal Inference: Understanding Treatment Effects

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

Birth Month Impact on Athlete Success

Investigates how birth month influences athlete success, analyzing Japanese athletes' dataset to explore trends in birthdates and occupations.

Nano-Tera: Collaborative Research Track

Explores wearable health monitoring, nanofabrication funding, EEG recording, and haptic communication for information transfer.

Advanced Pandas Functions

Covers advanced functions of Pandas, focusing on filtering, labeling, and manipulating dataframes.