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| Ïîèñê ïî óêàçàòåëÿì |
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| Norman G.R., Streiner D. — Biostatistics: the bare essentials |
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| Ïðåäìåòíûé óêàçàòåëü |
Mean, standard error of 41
Mean, uses of 20—21
Measures of association for categorical data 163—169
Measures of association for ranked data 176—181
Measures, repeated 84
Median 15—16
Median in box plots 49
Median, uses of 20—21
Mesokurtic, term 19
Midspread 17
Minitab in ANCOVA 128
Minitab in ANOVA, factorial 82
Minitab in ANOVA, one-way 72
Minitab in ANOVA, repeated-measures 95—96
Minitab in data analysis 13
Minitab in data description 22
Minitab in measures of association for ranked data 181
Minitab in regression, multiple 118
Minitab in regression, nonlinear 128
Minitab in regression, simple 107
Minitab in significance testing for categorical frequency data 162
Minitab in significance testing for ranked data 175
Minitab in survival analysis 195
Minitab in t-test 63
Minitab in t-test, paired 87
Missing zero 53
MODE 16 20—21
Motion, range of 100
Multiple comparisons in one-way ANOVA 66—67
Multiple correlation coefficient 110
Multiple regression 108—118
Multiple regression, calculations for 108—110
Multiple regression, interactions in 115—116
Multiple regression, missing data and 206
Multiple regression, partial correlations in 112
Multiple regression, partial F tests in 112 113
Multiple regression, pragmatics of 116
Multiple regression, sample size calculations in 116
Multiple regression, standardized regression coefficient in 113
Multiple regression, stepwise 113—115
Multiple regression, variables in 110—112
Multiple regression, [beta] coefficients in 112—113
Multiplicative law 31—32
Mutually exclusive events 30—31
Nested factors in ANOVA 79—80
Noise in statistical inference 42—43
Noise in t-test 59
Nominal variable 4 211
Nonparametric statistics 151 214
Normal curve 26—28
Normal curve, area of 237—239
Normal distribution 19 23—28
Normal distribution, binomial and 35—36
Null hypothesis 40
Oblique rotation in factor analysis 137
One-tailed test 46—47
One-way ANOVA 64—72
One-way ANOVA, comparisons in, multiple 66—67
One-way ANOVA, comparisons in, planned orthogonal 68—70
One-way ANOVA, comparisons in, post-hoc 67—68
One-way ANOVA, degrees of freedom in 65—66
One-way ANOVA, F-ratio distribution in 66
One-way ANOVA, Kruskal — Wallis 172
One-way ANOVA, mean differences in 215
One-way ANOVA, power table for 250 251
One-way ANOVA, relationship strength in 70
One-way ANOVA, sample size for 70—71 250
One-way ANOVA, sums of squares in 65
Ordinal data 4—5 211
Ordinal data, dispersion of 17
Ordinal data, graphing of 8
Orthogonal comparisons in one-way ANOVA 68—70
Orthogonal rotation in factor analysis 137
Orthogonal, term 133—134
Outer fence in box plots 49
Outliers in box plots 49
p-value in regression analysis 103
Paired observations in significance testing 155—156
Paired t-test 83—87
Parameter in regression analysis 103
Parameter, population 39
Parametric statistics 212—214
Partial F tests 112
PCA see “Principle components analysis”
Pearson’s correlation coefficient 104
Pearson’s correlation coefficient, critical values for 245
Person-years 184
Phi coefficient 164
Planned comparisons in one-way ANOVA 67 68—70
Platykurtic, term 19
Plots, box 48—49
Plots, stem-leaf 9—10
Point chart 7
Point-biserial correlation 177—178
Polygon, frequency 10—12
Pooled estimate in t-test 61
Populations in inferential statistics 39
Post-hoc comparisons in one-way ANOVA 67—68
Power in one-way ANOVA 70—71 251
Power in significance testing 45—46
Power in survival analysis 193
Power in t-test 243
Principle components analysis 129—142 (see also “Factor analysis”)
probability 29—37
Probability, binomial distribution in 33—36
Probability, conditional 31—32
Probability, conditional in survival analysis 186
Probability, cumulative 186
Probability, death see “Survival analysis”
Probability, empirical derivation of 29—30
Probability, independent events in 32
Probability, law of "at least one" in 32—33
Probability, mutually exclusive events in 30—31
Probability, theoretical derivation oi 30
Proportional differences 215
Proportional hazards model 191—193
Quadratic weights 166
Quadratic, term 119
Quartic, term 119
Quartiles in box plots 49
Random error 38
Random factors in ANOVA 79
Randomized controlled trial 150
RANGE 8 17
Range of motion 100
Range, interquartile 17—18
Range, interquartile in box plots 49
Range, uses of 20—21
Rank correlation, Spearman 177
Ranked data, measures of association for 176—181
Ranked data, significance testing for 170—175
Ratio variable 4—5 211 212
Ratio variable, graphing of 8
Ratio variable, t-test and 58—59
Ratio, signal-to-noise 42—43
Ratio, signal-to-noise in t-test 60
Rectangular distribution 24
Regression 100—107
Regression coefficient, standardized in factor analysis 135
Regression coefficient, standardized in multiple regression 113
Regression in ANCOVA 122
Regression, advanced topics in 119—128
Regression, logistic 125—126
Regression, multiple 108—118 (see also “Multiple regression”)
Reject null hypothesis 42
Related samples 212
Relative risk 170
Repeated measures 84
Repeated-measures ANOVA 88—96
Rho, Spearman’s 176 177
| Risk in survival analysis 184—185
ROM see “Range of motion”
RR see “Relative risk”
Samples 214—215
Samples in ANCOVA 126—127
Samples in ANOVA 80 93
Samples in ANOVA, one-way 70—71 250
Samples in correlation 106
Samples in factor analysis 141
Samples in independent proportion testing 252
Samples in inferential statistics 39
Samples in measures of association for categorical data 168
Samples in multiple regression 116
Samples in paired t-tests 86
Samples in significance testing for categorical frequency data 159—160
Samples in significance testing for ranked data 173
Samples in survival analysis 193
Samples in t-test 242
Samples in t-test, equal 59—60
Samples in t-test, unequal 60—62
Samples, estimation of 49—51
Samples, Kaiser — Meyer — Olkin measure of 132—133
Samples, mean differences and 240
Scheff[ac]e’s method in one-way ANOVA 67—68
Scree test, Cattell’s 134—135
SD see “Standard deviation”
Self-Rating Depression Scale 25
Signal in statistical inference 42—43
Signal in t-test 59
Significance testing 41
Significance testing for categorical frequency data 150—162
Significance testing for categorical frequency data, chi-squared test in 151—153
Significance testing for categorical frequency data, Fisher’s exact test in 153—155
Significance testing for categorical frequency data, log-linear analysis in 157—159
Significance testing for categorical frequency data, Mantel — Haenszel chi-squared in 155—156
Significance testing for categorical frequency data, McNemar chi-squared test in 155—156
Significance testing for categorical frequency data, sample size estimation in 159—160
Significance testing for categorical frequency data, Yates’ correction for continuity in 153
Significance testing for ranked data 170—175
Significance testing for tau 179
Significance testing for W 180
Significance testing in correlation 106
Significance testing, Cohen’s kappa in 165
skewness 19—20
Spearman’s rho 176—177
Specific data point 14
Sphericity, Bartlett test of 132
SPSS/PC in ANCOVA 127
SPSS/PC in ANOVA, factorial 81
SPSS/PC in ANOVA, one-way 72
SPSS/PC in ANOVA, repeated-measures 95
SPSS/PC in data analysis 13
SPSS/PC in data description 22
SPSS/PC in measures of association for categorical data 169
SPSS/PC in measures of association for ranked data 181
SPSS/PC in paired t-test 87
SPSS/PC in principal components and factor analysis 142
SPSS/PC in regression analysis, logistic 128
SPSS/PC in regression analysis, multiple 117
SPSS/PC in regression analysis, nonlinear 128
SPSS/PC in regression analysis, simple 107
SPSS/PC in significance testing for categorical frequency data 162
SPSS/PC in significance testing for ranked data 175
SPSS/PC in survival analysis 195
SPSS/PC in t-test 63
Square root transformation 209
Squares, mean see “Mean square”
Squares, sum of see “Sum of squares”
Standard deviation 18—19
Standard deviation in binomial distribution 35
Standard deviation in confidence intervals 47
Standard deviation in inferential statistics 39
Standard deviation in normal distribution 24
Standard deviation in t-test 59—60
Standard deviation, uses of 20—21
Standard error in survival analysis 187—188
Standard error in t-test 59—60
Standard error of mean 41
Standard scores 24—25
Standardized regression coefficient in factor analysis 135
Standardized regression coefficient in multiple regression 113
Statistics, descriptive 2 211—212
Statistics, inferential see “Inferential statistics”
Statistics, needs for 2
Statistics, nonparametric 151 214
Statistics, parametric 212—214
Statistics, significance of 48
Statistics, univariate 212—214
Stem-leaf plots 9—10
Step in box plots 49
Stepwise regression 113—115
Student’s t-test 59
Sum of squares in ANCOVA 122 123
Sum of squares in ANOVA, factorial 76
Sum of squares in ANOVA, one-way 65
Sum of squares in ANOVA, repeated-measures 89
Sum of squares in regression analysis 102—103
Sum of squares in regression analysis, multiple 109
Survival analysis 182—195
Survival analysis, covariate adjustment in 191—193
Survival analysis, data summarizing in 183—184
Survival analysis, group comparisons in 189—191
Survival analysis, required number of events for 253
Survival analysis, sample size and power in 193—194
Survival analysis, techniques of 184—189
Survival analysis, use of 182 183
Survival rate 183—184
t-test 58—63
t-test, critical values for 241
t-test, paired 83—87
t-test, power table for 243
t-test, sample size for 242
Tau, Kendall’s 178—179
Theorem, central limit 24
Theoretically derived probability 30
Trial, randomized controlled 150
Trimodal, term 16
Turkey’s least significant difference 68
Two repeated observations 83—87
Two-tailed test 46—47
Two-tailed test in survival analysis 253
Two-way ANOVA, Friedman 172—173
Type I and II error 43—44
Unequal sample sizes in t-test 60—62
Unipolar factors 136
Univariate statistics 212—214
Variables 3 4
Variables in descriptive statistics 211
Variables, interval 58—59
Variables, latent 129 130
Variables, ratio 58—59
Variance 18—19
Variance in binomial distribution 35
Variance in factor analysis 136
Variance in t-test 61
Variance, analysis of see “ANOVA”
Varimax in factor analysis 136
W, Kendall’s 179—180
Weight, measurement of 83—86
Weight, sample size 60
Weighted kappa 166—167
Whiskers in box plots 49
Wilcoxon rank sum test 171
Wilcoxon rank sum test, signed 172—173
Within-subjects factor 91
X bar 14 (see also “Mean”)
Yates’ correction for continuity 153
Yule’s Q 164
z-test in survival analysis 189—190
z-test, calculating 41—42
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