While theoretical statistics relies primarily on mathematics and hypothetical situations, statistical practice is a translation of a question formulated by a researcher into a series of variables linked by a statistical tool. As with written material, there are almost always differences between the meaning of the original text and translated text.

After studying mathematics and getting his Ph.D. in biostatistics, the author graduated as a child and adolescent psychiatrist. He is now professor in biostatistics in Paris-Sud University, head of a master in public health and of the research lab "public health and mental health".

Introduction. Description of Responses. Description of Relationships between Variables. Confidence Intervals and Statistical Tests of Hypothesis. Introduction to Linear, Logistic, Poisson, and Other Regression Models. About Statistical Modelling. Principles for the Validation of a Composite Score. 8 Introduction to Structural Equation Modelling. Introduction to Data Manipulation using R. Appendix A: The Analysis of Questionnaire Data using R: Memory Card. References. Index.