Applied Longitudinal Data Analysis for Medical Science

Are you a non-statistician or medical researcher working with longitudinal data? Look no further! Our newly updated edition of "Applied Longitudinal Data Analysis for Medical Science" is the perfect guide for you. This comprehensive book covers all the important techniques for analyzing data from medical studies, even if you have little to no statistical background.

With our easy-to-understand, non-technical language, you'll quickly grasp simple methods like the paired t-test and summary statistics. But that's not all! We also dive into more advanced regression-based methods, including mixed model analysis, giving you the tools to handle complex data sets.

What sets our book apart is our emphasis on interpreting the results of different analysis methods. Whether you're dealing with continuous, dichotomous, categorical, or other outcome variables, we've got you covered. Plus, we provide datasets throughout the book, allowing you to practice your analysis skills and deepen your understanding of the material.

And don't worry about which software package to use. We've got you covered there too! Our book offers an extensive and practical overview of different software packages, making it easy for you to choose the right one for your needs.

Don't let your lack of statistical knowledge hold you back. Take control of your data analysis with "Applied Longitudinal Data Analysis for Medical Science." Start improving your skills and making better decisions today by clicking here!