@article{910328,
      recid = {910328},
      author = {Twisk, Jos W. R.,},
      title = {Applied longitudinal data analysis for epidemiology a  practical guide / [electronic resource] :},
      publisher = {Cambridge University Press,},
      address = {Cambridge :},
      pages = {xiv, 321 p. :},
      year = {2013},
      note = {First published 2003.},
      abstract = {"The emphasis of this book lies more on the application of  statistical techniques for longitudinal data analysis and  not so much on the mathematical background. In most other  books on the topic of longitudinal data analysis, the  mathematical background is the major issue, which may not  be surprising since (nearly) all the books on this topic  have been written by statisticians. Although statisticians  fully understand the difficult mathematical material  underlying longitudinal data analysis, they often have  difficulty in explaining this complex material in a way  that is understandable for the researchers who have to use  the technique or interpret the results. Therefore, this  book is not written by a statistician, but by an  epidemiologist. In fact, an epidemiologist is not primarily  interested in the basic (difficult) mathematical background  of the statistical methods, but in finding the answer to a  specific research question; the epidemiologist wants to  know how to apply a statistical technique and how to  interpret the results. Owing to their different basic  interests and different level of thinking, communication  problems between statisticians and epidemiologists are  quite common. This, in addition to the growing interest in  longitudinal studies, initiated the writing of this book: a  book on longitudinal data analysis, which is especially  suitable for the "non-statistical" researcher (e.g. the  epidemiologist). The aim of this book is to provide a  practical guide on how to handle epidemiological data from  longitudinal studies"--},
      url = {http://library.usi.edu/record/910328},
}