Multivariate analysis provides statistical methods for study of the joint rela tionships of
variables in data that contain intercorrelations. Because several variables can be considered …

Forces are increasingly recognized as major regulators of cell structure and function, and the
mechanical properties of cells are essential to the mechanisms by which cells sense forces…

… Lekic PC, Pender N, McCulloch CA. Is fibroblast heterogeneity relevant to the health,
diseases and treatments of periodontal tissues? Crit Rev Oral Biol Med 1997: 8: 253– 268. …

The availability of powerful computing methods in recent decades has thrust linear and
nonlinear mixed models into the mainstream of statistical application. This volume offers a …

Background End-stage renal disease substantially increases the risks of death, cardiovascular
disease, and use of specialized health care, but the effects of less severe kidney …

This new book provides a unified, in-depth, readable introduction to the multipredictor
regression methods most widely used in biostatistics: linear models for continuous outcomes, …

… experiment involving 3 fertilizer treatments A, B and C, say, used on 3 blocks of land in which
one of the 3 treatment pairs A and C, A and B, and B and C is used in each block. This is a …

The rule of thumb that logistic and Cox models should be used with a minimum of 10
outcome events per predictor variable (EPV), based on two simulation studies, may be too …

Background: Although interest in the relationship between obesity and kidney disease is
increasing, few epidemiologic studies have examined whether excess weight is an …

Background It is unclear whether functional status before dialysis is maintained after the
initiation of this therapy in elderly patients with end-stage renal disease (ESRD). Methods Using …