Stats >> Steps in a Typical Data Analysis (January 26, 2000)

Humans are good ... at discerning subtle patterns that are really there, but equally so at imagining them when they are altogether absent. Carl Sagan (1985) Contact.

"Isn't it interesting that the same people who laugh at science fiction listen to weather forecasts and economists?" Kelvin Throop III, as quoted in http://www.w2knews.com/index.cfm?id=453.

This page is being replaced with a theme page on data analysis.

• Theme: Data analysis

The theme page will eventually contain all of the original links on this page, plus new links from the weblog.

Here are the original links.

Analysis of Variance models (draft)

• Circular designs (draft)
• Equivalence models (draft)
• Longitudinal data models (draft)
• Storage for longitudinal data

Bayesian models (draft)

Confidence intervals (draft)

Data mining models (draft)

• Differential expression (draft)
• Microarray models (draft)
• -- What is a microarray?
• -- Importing data from a microarray experiment
• -- Data management in a microarray experiment
• -- Software for microarray data analysis
• -- Design of microarray experiments
• -- Normalization for microarray data
• -- Differential expression in microarray data
• -- Supervised learning for microarray data
• -- Unsupervised learning for microarray data
• -- Microarray resources
• Regression models in R [pdf]
• Supervised learning (draft)
• Unsupervised learning (draft)

Descriptive Model

• Displaying tables of percentages
• What is a box plot?
• SPSS dialog boxes for descriptive analyses
• Pitch the pie! Ban the bar!

Information theory model

• Information theory model (alternate version of the same page. I will merge these soon)
• Definition: Entropy

Linear Regression Model

• Building complex models
• Checking the assumption of normality
• Exploring interactions in a linear regression model
• Interpreting linear regression coefficients
• Log transformation
• SPSS dialog boxes for linear model examples

Logistic Regression Model

• Building complex models
• Concepts behind the logistic regression model
• Interactions in logistic regression
• Overfitting the data
• SPSS dialog boxes for logistic regression

Meta-analysis Model (draft)

• Meta-analysis for a diagnostic test

Nonlinear regression model (coming soon!)

• Simple model of nonlinear growth (draft)
• S-shaped curves (draft)

Poisson Regression Model (draft)

• Interpreting Poisson Regression Coefficients (coming soon!)
• SPSS Syntax for Poisson Regression (Marta Garcia-Granero)

Quality control models (draft)

Reliability and validity models (draft)

• Definition: intraclass correlation coefficient (coming soon!)
• Definition: kappa

Survival Data Analysis Model

• Data management for survival data
• Drawing the Kaplan Meier survival curve

Datasets used on these pages

• bf.sav
• housing.sav
• titanic.sav

[Return to Stats page] This webpage was written by Steve Simon and was last modified on 07/08/2008.