Send to

Choose Destination
See comment in PubMed Commons below
J Appl Physiol (1985). 1988 Apr;64(4):1721-32.

Families of lines: random effects in linear regression analysis.

Author information

Department of Environmental Science and Physiology (Respiratory Biology Program), Harvard University School of Public Health, Boston, Massachusetts 02115.


Laboratory experiments often involve two groups of subjects, with a linear phenomenon observed in each subject. Simple linear regression as propounded in standard textbooks is inadequate to treat this experimental design, particularly when it comes to dealing with random variation of slopes and intercepts among subjects. The author describes several techniques that can be used to compare two independent families of lines and illustrates their use with laboratory data. The methods are described tutorially, compared, and discussed in the context of more sophisticated and more naive approaches to this common data-analytic problem. Technical details are supplied in APPENDIX A.

[Indexed for MEDLINE]
PubMed Commons home

PubMed Commons

How to join PubMed Commons

    Supplemental Content

    Full text links

    Icon for HighWire
    Loading ...
    Support Center