TY - CHAP M1 - Book, Section TI - Missing Data A1 - Glantz, Stanton A. A1 - Slinker, Bryan K. A1 - Neilands, Torsten B. PY - 2017 T2 - Primer of Applied Regression and Analysis of Variance, 3e AB - Missing data are a fact of research life. A measuring device may fail in an experiment. Survey respondents may not answer questions about their health or income or may mark “don’t know” or “don’t remember.” In longitudinal studies, research participants may die or be lost to follow-up. Giving careful consideration at the study-design stage for how to minimize missing data is a key facet of a well-designed research study, but even the best, most carefully designed studies often have to contend with missing data. SN - PB - McGraw-Hill Education CY - New York, NY Y2 - 2024/03/29 UR - accessbiomedicalscience.mhmedical.com/content.aspx?aid=1141899604 ER -