YouTube Contents

Video Tutorials & Lectures

Welcome to my YouTube channel featuring comprehensive video tutorials on epidemiology, biostatistics, R programming, and data analysis. These educational videos complement my slide presentations and are designed for postgraduate students, researchers, and healthcare professionals.

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Dr Kim MD PhD on YouTube

162+ Educational Videos

🎓 R Programming & Data Science

📌 Introduction to R and RStudio

Getting started with R programming environment and RStudio IDE for statistical computing.

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📌 Data Wrangling with dplyr

Data manipulation techniques using tidyverse principles and dplyr package.

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📌 Data Visualization with ggplot2

Creating publication-ready graphics and visualizations in R.

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📌 Quarto & R Markdown

Creating reproducible documents, reports, and presentations with Quarto.

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📊 Biostatistics & Statistical Methods

📌 Linear Regression Analysis

Simple and multiple linear regression with model diagnostics.

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📌 Logistic Regression

Binary and multinomial logistic regression for categorical outcomes.

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📌 Poisson Regression

Count data analysis and rate modeling using Poisson regression.

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📌 ANOVA & Post-Hoc Tests

Analysis of variance for comparing multiple groups.

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📌 Mixed Effects Models

Linear mixed models for hierarchical and longitudinal data analysis.

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📌 Generalized Additive Models (GAM)

Flexible non-linear modeling for complex relationships.

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⏱️ Survival Analysis

📌 Kaplan-Meier Analysis

Non-parametric survival estimation and log-rank tests.

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📌 Cox Proportional Hazards

Semi-parametric survival modeling and hazard ratios.

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📌 Parametric Survival Models

Weibull, exponential, and other parametric approaches.

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🔬 Epidemiology & Research Methods

📌 Confounding & DAGs

Understanding confounding using directed acyclic graphs.

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📌 Bias in Epidemiology

Selection bias, information bias, and bias minimization strategies.

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📌 Effect Modification & Interaction

Assessing heterogeneity of effects and stratification.

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📌 Diagnostic Test Validity

Sensitivity, specificity, PPV, NPV, and ROC analysis.

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📌 Spatial Epidemiology

Disease mapping and geographic analysis of health data.

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📈 Time Series & Forecasting

📌 Time Series Basics

Understanding temporal data patterns and decomposition.

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📌 ARIMA Modeling

Autoregressive integrated moving average models.

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📌 fpp3 Package Tutorials

Modern forecasting with tidyverse-compatible tools.

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🤖 AI & Digital Health

📌 AI in Health Research

Applications of artificial intelligence in healthcare and research.

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📌 AI Assistants for Data Analysis

Using AI tools to enhance analytical workflows.

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📌 Digital Health Innovation

Digital transformation in healthcare delivery and research.

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✍️ Academic Writing & Publishing

📌 Writing High-Impact Manuscripts

Strategies for elevating scholarly influence.

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📌 Handling Rejection & Resubmission

Responding to reviewer comments and improving manuscripts.

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📚 Related Resources

→ Slide Decks – Comprehensive presentation slides
→ Quarto Publications – Interactive slide presentations
→ GitHub Repository – Code and datasets
→ LinkedIn Profile – Professional updates