Statistics and Math:
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Reference
Tutorials and Reviews
Calculation
Teaching
Causal Inference
Bayesian Statistics
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Biostatistics
Datasets and Code
Classic Papers (in progress)
- Math Background and Computing
- U Wash math camp review
- Matlab, Maple, Mathematica, AMOS, HLM, PRELIS and LISREL, Mplus, SAS, SPSS
- Using Splus: S-PLUS 6 Guide to Statistics, Volume 1 (pdf)
S-PLUS 6 Guide to Statistics, Volume 2 (pdf)
S-PLUS 6 Users Guide
S-PLUS 6 Programmers Guide
- MLE in R (pdf)
- Linear Algebra Kieth Matthews Rice
- Real Analysis Tutorial (SHU)
- Basic Probability, Statistics and Modelling
- Gary McClelland's Seeing Statistics
- Lecoutre's 'analysis tree' (pdf)
- Lenth on Power
- Summary of convergence of random variables
- The delta method
- Interpretations of Probability
- Venables on Linear Models in S
- Zoonekynd's Regression Problems and their Solutions
- CMU intro to stats
- MIT video math/stat lectures
- UCLA online/video stats lectures
- SAS's logistic regression tutorial (pdf)
- Goodness of Fit in Logisitic Regression (Hosmer, et al., Stat Med, 16(9):965, 1997)
- Effect Sizes
- Intro to Data Collection & Analysis
- Statistics every writer should know
- Bayes Theorem Tutorial
-
Internet Glossary of Statistical Terms
- Glenn's Intro to Discrete Data class notes
- Choosing a test
- Multivariable Prognostic Models:
Issues In Developing Models, Evaluating Assumptions And Adequacy, And Measuring And Reducing Errors, by
FE. Harrell, KL Lee, DB Mark, Statistics in Medicine, 15(4):361-387, 1996
- Types of SS in the GLM
- Specific non-basic topics
- Machine Learning
- Longitudinal/Repeated/Mixed/Multilevel Modeling
- Multivariate Analysis
- Modern Non-parametrics
- Epidemiology/Biostatistics
- Social Networks
- Structural Equation Modeling (SEM)
- Hidden Markov Models
- Sandwich Estimator
- Time Series
- Misc