multiple regression

basics of, 234–235

introduction to, 26

sample size for, 247–248

special considerations, 245–247

using, 236–245

multiple Rsquared,

242

multiplication, 18–20

multiplicative, 296

multiplicity, 75–76

multisite study,

104

multistage sampling,

85–86

multivariable regression, 291

multivariate analysis, 128, 145, 291

N

Nagelkerke Rsquare,

259

National Health and Nutrition Examination Survey (NHANES), 82, 86, 93, 148–157

National Institutes of Health (NIH), 72–73

natural logarithms, 22

negative predicted value (NPV), 187

negatively skewed data, 121

NHANES (National Health and Nutrition Examination Survey), 82, 86, 93, 148–157

NIH (National Institutes of Health), 72–73

nominal variables, 102

noncodebased methods,

60

nonlinear function, 211

nonlinear leastsquares regression,

12

nonlinear regression, 279–286

nonlinear trends, 277

nonparametric regression, 286–290

nonparametric tests, 48–49, 157

nonproportional hazards,

323

nonsampling error,

78