376 Biostatistics For Dummies

LOWESS (locally weighted scatterplot smoothing)

curve-fitting, 12, 286–290

lung cancer, 296–298

M

Mann, Henry (professor), 141

Mann-Whitney U test, 47–49, 143, 362

Mantel-Cox test. See log-rank test

Mantel-Haenszel chi-square test, 168

margin of error (ME), 134

marginal totals, 160

masking, 66, 70, 171

mathematical expressions, 15

mathematical operations, 18–25

matrix, 26

matrix algebra, 26

maximum value, 222

ME (margin of error), 134

mean

arithmetic, 115–116

compared to other values, 142–157, 362

confidence limits, 134–135

mean square (mean Sq), 155

measurements, 63–64, 102–103

mechanical function, 279

median, 116–117, 123, 222

meta-analyses, 97–98

metadata, 110

mice, 1, 318

micrograms (μg), 280–282

Microsoft Excel

for data collection, 103, 105, 107–110

functions of, 57

for log-rank tests, 319–320

for randomization, 67

for straight-line regression, 217

for survival regressions, 343

millimeters of mercury (mmHg), 218–226, 229, 239

minimum value, 222

missing data, 74–75

Mitra, Amal K. (author)

Epidemiology for Dummies, 92

mmHg (millimeters of mercury), 218–226,

229, 239

mode, 117

model building, 246

model fit statistics, 242

models

generalized linear (GLM), 272–278

linear, 272–273

null, 228, 242, 259

parsimonious, 293

predictive, 228–229

regression, 68, 208–209

molecular biology, 7

multicollinearity, 246–247

multi-dimensional arrays, 26–27

multilevel variable, 236

multiple regression

basics of, 234–235

introduction to, 26

sample size for, 247–248

special considerations, 245–247

using, 236–245

multiple R-squared, 242

multiplication, 18–20

multiplicative, 296

multiplicity, 75–76

multi-site study, 104

multi-stage sampling, 85–86

multivariable regression, 291

multivariate analysis, 128, 145, 291

N

Nagelkerke R-square, 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