Introduction to health measurement

This is a series of lectures about epidemiology, health measures, and the analysis of measurement instrument assessing health-related quality of life.


  1. Epidemiology and Clinical Trials: A Methodological Approach. screen | print
    Short overview of epidemiology (types of design with their pros and cons, concept of causality, common errors in the literature) and RCTs (how they differ from observational studies, key concepts to ensure the validity of the findings, CONSORT statement).
  2. Biostatistics: A Refresher. screen | print
    A survey of common analysis techniques for group comparisons (difference in central tendencies, measures of association and concordance, regression).
  3. Introduction to psychometrics. screen | print
    Summary of the main approaches to scale construction, taxonomy of related concepts (reliability, validity).
  4. Assessing the psychometric properties of a questionnaire. screen | print
    Illustration of basic factor analysis and IRT-related methods to validate a measurement instrument, using a case study on anxiety from the PROMIS project.


The tutorial focus on the low baby weight study discussed during the second lecture. Analysis are done using the R statistical software which can be downloaded from CRAN. Additional packages are required: rms (depends on Hmisc), coin, effects (depends on colorspace), and vcd.

The R code can be viewed as an HTML page (R script here), and is commented in the following document: lwb.R: Code explained (PDF, 17 pp.).


Here are two papers on predictive modeling in biomedical research:

Additional recommended readings: Harrell, F. Regression Modeling Strategies, Springer, 2001, and/or Steyerberg, EW, Clinical Prediction Models, Springer, 2009.; Senn, S. Statistical Issues in Drug Development, Wiley, 2009 (2nd ed.).

There was a dedicated issue on Applying Item Response Theory to Enhance Health Outcomes Assessment in the Quality of Life Research journal (2007); the list of articles is available here. There are many good textbooks, including:

Last updated on 2011/10/25, 6:17pm