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Data Analysis-Data Mining

Lecture notes on Advanced Data Analysis from an Elementary Point of View by Cosma Rohilla Shalizi -584 pages-

An Introduction to Statistical Learning by Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani -Book with additional material-

Lecture notes for Advanced Data Analysis 1 by Erik B. Erhardt, Edward J. Bedrick and Ronald M. Schrader -376 pages-

An introduction to statistical data analysis -133 pages-

Lecture Notes on Statistics and Data Analysis with Vista by Forrest W. Young

On-line notes on Data Analysis

Concepts and Applications of Inferential Statistics by Richard Lowry

The Elements of Statistical Learning by Trevor Hastie, Robert Tibshirani and Jerome Friedman -Book with additional material-

Lecture notes on Statistical Data Mining by Brian D. Ripley -112 pages-

Lecture notes on Statistical Data Mining by Wiesner Vos & Ludger Evers -124 pages-

Data Mining In Excel: Lecture Notes and Cases by Galit Shmueli, Nitin R. Patel and Peter C. Bruce -270 pages-

Lecture notes on Data Mining and Knowledge Discrovery Lecture Notes by Nada Lavrac -256 slides-

Information Theory, Inference, and Learning Algorithms by D.MacKay -640 pages-

Some Aspects of Study Design by Gerard E. Dallal -online notes-

Clinical Study Design and Methods Terminology by John Gay -online notes-

Lecture notes on Experiments & Observational Studies: Causal Inference in Statistics by Paul R. Rosenbaum -87 pages-

Lecture notes on Advantages of Longitudinal Studies by Don Hedeker -24 slides-

Lecture notes on Sample Size Estimation for Longitudinal Studies by Don Hedeker -56 slides-

Observational Study by Paul R. Rosenbaum -13 pages-

Lecture notes on Cross-Sectional Study Design and Data Analysis by Chris Olse and Diane Marie M. St. George -53 pages-

Social Researh Methods

Research Methods for Design Science Research: Computational and Cognitive Approaches by John S. Gero -9 pages-

List of Statistical Topics