Survival Data Analysis

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Related lectures (38)

Generalized Linear Models: A Brief Review Log in to Mediaspace to watch this video

Provides an overview of Generalized Linear Models, focusing on logistic and Poisson regression models, and their implementation in R.

Chimpanzee Data Analysis Log in to Mediaspace to watch this video

Covers the analysis of chimpanzee data on learning times and explores generalized linear models and logistic regression.

Marginal Models: Interpretation and Application Log in to Mediaspace to watch this video

Explores marginal models in modern regression, emphasizing interpretation and application in statistical analysis.

Supervised Learning Fundamentals Log in to Mediaspace to watch this video

Introduces the fundamentals of supervised learning, including loss functions and probability distributions.

Linear Regression and Logistic Regression Log in to Mediaspace to watch this video

Covers linear and logistic regression for regression and classification tasks, focusing on loss functions and model training.

Supervised Learning: Likelihood Maximization Log in to Mediaspace to watch this video

Covers supervised learning through likelihood maximization to find optimal parameters.

Linear Regression: Fundamentals and Applications Log in to Mediaspace to watch this video

Explores linear regression fundamentals, model training, evaluation, and performance metrics, emphasizing the importance of R², MSE, and MAE.

Regression Models: Performance and Evaluation Log in to Mediaspace to watch this video

Explores regression model performance, learning errors, and building regression trees using the CART algorithm.

Logistic Regression: Probabilistic Interpretation Log in to Mediaspace to watch this video

Covers logistic regression's probabilistic interpretation, multinomial regression, KNN, hyperparameters, and curse of dimensionality.

Instrumental Variables: Addressing Measurement Error and Reverse Causality Log in to Mediaspace to watch this video

Explores how instrumental variables correct biases from measurement error and reverse causality in regression models.

Modern Regression: Statistical Models and Data Analysis Log in to Mediaspace to watch this video

Introduces regression analysis, covering linear and nonlinear models, Poisson regression, and failure time analysis using various datasets.

Support Vector Regression: Kernel Tricks Log in to Mediaspace to watch this video

Explores Ridge and SVR regression, emphasizing kernel tricks for non-linear regression.

Regression Methods: Model Building and Diagnostics Log in to Mediaspace to watch this video

Explores regression methods, covering model building, diagnostics, inference, and analysis of variance.

Quantization of Probability Distributions Log in to Mediaspace to watch this video

Covers quantization of probability distributions, statistical k-means clustering, mean estimation, robust clustering methods, and open research questions.

Bivariate Maxima: Parametric Models and Distributions Log in to Mediaspace to watch this video

Explores bivariate maxima, parametric models, distributions, and dependence functions in statistics.

Linear Regression: Least Squares Method Log in to Mediaspace to watch this video

Explains the method of least squares in linear regression to find the best-fitting line to a set of data points.

Dimensionality Reduction: PCA and LDA Log in to Mediaspace to watch this video

Covers dimensionality reduction techniques like PCA and LDA, clustering methods, density estimation, and data representation.

Virtual Work II: Examples of Potentials Log in to Mediaspace to watch this video

Covers examples of potentials in virtual work for structural mechanics.

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