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Bayesian Linear Regression
BIOS 6611
830 подписчиков
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71 видео с канала:
BIOS 6611
Bayesian Linear Regression
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Intro to Bayesian Methods
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Advanced Bootstrap Topics
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Bootstrap p-values
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Splines in Linear Regression
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Segmented Regression
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Quantile Regression
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Power and Sample Size
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A Brief Introduction to Generalized Linear Models
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Linear Regression: MLE for Methods of Estimation
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Linear Regression with Matrices in SAS
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Linear Regression with Matrices in R
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Linear Regression with Matrices
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Multiple Linear Regression: Outlier, Leverage, and Influential Points
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Multiple Linear Regression: Variable Selection
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Model Selection in Linear Regression
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Multiple Linear Regression: Interactions (Effect Modification)
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Polynomial Regression
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Mediation Models
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Confounding and Precision Variables in Linear Regression
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General Linear Hypothesis Testing
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Kruskal-Wallis Test (Nonparametric ANOVA)
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ANOVA: Post-Hoc Testing
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One-Way Analysis of Variance
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Coding Categorical Variables
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Multiple Comparisons and the False Discovery Rate
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Multiple Linear Regression: Inference on Independent Variables
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Multiple Linear Regression: Diagnostic Plots and Multicollinearity
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Multiple Linear Regression Introduction
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Transformations to Remove Heteroscedasticity and Address Non-Linearity
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Simple Linear Regression: Categorical Predictor
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Simple Linear Regression: Continuous Predictor Example
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Simple Linear Regression: Diagnostic Plots
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Residuals
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Simple Linear Regression: The Connection between R-squared and Pearson's Correlation
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Simple Linear Regression: Derivation of the Variance of the Intercept and Slope
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Simple Linear Regression: Derivation of the Intercept and Slope
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Simple Linear Regression: Confidence Intervals and Prediction Intervals
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Simple Linear Regression: Quality of Fit, F-test, and ANOVA Table
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Simple Linear Regression: Inference and Interpretation
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SLR: Find the "Best" Fit and Summary Formulas
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Simple Linear Regression (SLR) Introduction
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Nonparametric Tests
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Permutation Tests
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Two-Sample Bootstraps
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Bootstrap Resampling: Confidence Intervals and One-Sample Example
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Introduction to Bootstrap Resampling
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2x2 Tables and Tests of Association: Chi-squared, Fisher's, Barnard's, McNemar's
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2x2 Tables Measures of Effect: Risk Difference, Risk Ratio, Odds Ratio
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Observational Study Designs
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Diagnostic Testing: ROC Curves
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Diagnostic Testing: Predictive Values and Odds
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Diagnostic Testing: Sensitivity and Specificity
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Power Calculations with R
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Null Hypothesis Significance Testing (NHST) Framework
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Neyman-Pearson Approach to Statistics
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Fisher's p-value
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Deriving Distribution of Sample Mean and Sample Variance
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Common Continuous Distributions: Chi-Squared, F, t
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The Central Limit Theorem
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Assessing Normality
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The Normal Distribution
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Continuous Distributions
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Methods of Estimation (MoM, MLE, LSE)
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Bivariate Probability and Bayes' Theorem
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Common Discrete Distributions: Bernoulli, Binomial, Poisson
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Discrete Distributions
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Brief, but Complete, Interpretations
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Properties of Estimators
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Simulation Studies in R
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Intro to Statistical Topics
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Канал: BIOS 6611
Bayesian Linear Regression
Скачать
Intro to Bayesian Methods
Скачать
Advanced Bootstrap Topics
Скачать
Bootstrap p-values
Скачать
Splines in Linear Regression
Скачать
Segmented Regression
Скачать
Quantile Regression
Скачать
Power and Sample Size
Скачать
A Brief Introduction to Generalized Linear Models
Скачать
Linear Regression: MLE for Methods of Estimation
Скачать
Linear Regression with Matrices in SAS
Скачать
Linear Regression with Matrices in R
Скачать
Linear Regression with Matrices
Скачать
Multiple Linear Regression: Outlier, Leverage, and Influential Points
Скачать
Multiple Linear Regression: Variable Selection
Скачать
Model Selection in Linear Regression
Скачать
Multiple Linear Regression: Interactions (Effect Modification)
Скачать
Polynomial Regression
Скачать
Mediation Models
Скачать
Confounding and Precision Variables in Linear Regression
Скачать
General Linear Hypothesis Testing
Скачать
Kruskal-Wallis Test (Nonparametric ANOVA)
Скачать
ANOVA: Post-Hoc Testing
Скачать
One-Way Analysis of Variance
Скачать
Coding Categorical Variables
Скачать
Multiple Comparisons and the False Discovery Rate
Скачать
Multiple Linear Regression: Inference on Independent Variables
Скачать
Multiple Linear Regression: Diagnostic Plots and Multicollinearity
Скачать
Multiple Linear Regression Introduction
Скачать
Transformations to Remove Heteroscedasticity and Address Non-Linearity
Скачать
Simple Linear Regression: Categorical Predictor
Скачать
Simple Linear Regression: Continuous Predictor Example
Скачать
Simple Linear Regression: Diagnostic Plots
Скачать
Residuals
Скачать
Simple Linear Regression: The Connection between R-squared and Pearson's Correlation
Скачать
Simple Linear Regression: Derivation of the Variance of the Intercept and Slope
Скачать
Simple Linear Regression: Derivation of the Intercept and Slope
Скачать
Simple Linear Regression: Confidence Intervals and Prediction Intervals
Скачать
Simple Linear Regression: Quality of Fit, F-test, and ANOVA Table
Скачать
Simple Linear Regression: Inference and Interpretation
Скачать
SLR: Find the "Best" Fit and Summary Formulas
Скачать
Simple Linear Regression (SLR) Introduction
Скачать
Nonparametric Tests
Скачать
Permutation Tests
Скачать
Two-Sample Bootstraps
Скачать
Bootstrap Resampling: Confidence Intervals and One-Sample Example
Скачать
Introduction to Bootstrap Resampling
Скачать
2x2 Tables and Tests of Association: Chi-squared, Fisher's, Barnard's, McNemar's
Скачать
2x2 Tables Measures of Effect: Risk Difference, Risk Ratio, Odds Ratio
Скачать
Observational Study Designs
Скачать
Diagnostic Testing: ROC Curves
Скачать
Diagnostic Testing: Predictive Values and Odds
Скачать
Diagnostic Testing: Sensitivity and Specificity
Скачать
Power Calculations with R
Скачать
Null Hypothesis Significance Testing (NHST) Framework
Скачать
Neyman-Pearson Approach to Statistics
Скачать
Fisher's p-value
Скачать
Deriving Distribution of Sample Mean and Sample Variance
Скачать
Common Continuous Distributions: Chi-Squared, F, t
Скачать
The Central Limit Theorem
Скачать
Assessing Normality
Скачать
The Normal Distribution
Скачать
Continuous Distributions
Скачать
Methods of Estimation (MoM, MLE, LSE)
Скачать
Bivariate Probability and Bayes' Theorem
Скачать
Common Discrete Distributions: Bernoulli, Binomial, Poisson
Скачать
Discrete Distributions
Скачать
Brief, but Complete, Interpretations
Скачать
Properties of Estimators
Скачать
Simulation Studies in R
Скачать
Intro to Statistical Topics
Скачать