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CADDIS Volume 4: Data Analysis

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Autocorrelation Classification and Regression Trees Conditional Probability Confidence Intervals Confounding Controlling for Natural Variability Correlation Analysis Interpreting Statistics Multivariate Data Exploration PECBO Propensity Scores Quantile Regression Regression Analysis Scatterplots Spatial Analysis and GIS SSDs Tests of Significant Difference Traits

This volume of CADDIS was developed as a reference for users seeking information on different analytical techniques that can be applied to causal analysis.

Data analysis is a key phase of a causal assessment. In many cases, statistical analyses can be used to inform different types of evidence and strengthen confidence in the results of causal assessments.

The materials in this volume have been organized into topic areas (listed at right) which may be read individually or in sequence. Most materials were written for users with a basic background in statistics. Some topic areas also include advanced materials on an optional "Details" page.

Selecting an Analysis Approach Getting Started Basic Principles & Issues Exploratory Data Analysis Basic Analyses Advanced Analyses Download Software

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