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Index

α see significance level

statistical significance 176–7

absolute risk 100–1, 106–7

strength 174, 175–80

absolute risk reduction (ARR) 106–7

see also scatterplots

adjustment

attitudes 77

confidence intervals 136, 137–8

automated variable selection 200–2

confounders 81

 

goodness-of-fit 196–7, 203

β see type II errors

hypothesis tests 158

backwards elimination 202–3

agreement 181–6

backwards selection 201

association 186

bar charts 31–5, 41, 44–7

Bland-Altman charts 185–6

beneficial risk factors 105

Cohen’s kappa 182–4

bimodal distribution 47

continuous data 184–6

binary data 153, 214–15

limits 185–6

binomial distribution 48, 116

ordinal data 184

Bland-Altman charts 185–6

weighted kappa 184

blinding 86

analysis of variance (ANOVA) 209–11

block randomisation 85

APACHE II scores 33–4

boxplots 41, 61–2, 63

Apgar scores 25–6, 38, 121, 128, 148,

British Regional Heart Study 36

174

 

arithmetic mean see mean

case-control studies 11

ARR see absolute risk reduction

association 177

assessment bias 86

confidence intervals 137

association 171–80

hypothesis tests 146, 153, 158

agreement 186

matched 81, 82, 102

confidence intervals 179

odds ratios 105–6

correlation coefficients 175–80,

probability 98

183

risk 102–3

definition 171–2

study design 80–3

linear 172–3, 175

unmatched 81–2

linear regression 190–1, 192

case-series studies 76

negative 172–3

categorical data 4–7, 10

non-linear 173, 175

agreement 184

p values 176–9

association 180

positive 172–3

charts 30–4, 37–8, 40–1

 

 

Medical Statistics from Scratch Second Edition

David Bowers

C 2008 John Wiley & Sons, Ltd

 

278

INDEX

categorical data (Continued) confidence intervals 127, 131 frequency tables 18–20, 23–6 hypothesis tests 145, 151, 161–8 linear regression 199–200

numeric summary values 55, 57, 64 ordered 166–8

causal relationships 77, 180, 190–1 censored data 228

chance-corrected proportional agreement statistic 179, 182–4

charts 29–41

bar charts 31–5, 41 boxplots 41, 61–2, 63

categorical data 30–4, 37–8, 40–1 continuous data 35–7, 40–1 cumulative data 37–41

discrete data 34–5, 37–8, 40–1 distribution 44–7

metric data 34–8, 40–1 nominal data 30–4, 41 ogives 38–40, 41, 60–1 ordinal data 30–4, 37–8, 40–1 pie charts 30–1, 41

step charts 37–8, 41 time series charts 40–1 see also histograms

chi-squared test

hypothesis tests 145, 151, 161–8 logistic regression 221, 222 survival 234

clinical databases 240, 241 clinical trials 84

clustered bar charts 32–4 coding design 199–200 coefficient of determination 197 Cohen’s kappa 179, 182–4 cohort studies

charts 36–7

probability 100–1, 102, 104, 106–7 study design 78–80, 83

survival 238 colinearity 198 comparative studies 13

confidence intervals 111–18 agreement 183 association 179

difference between population parameters 119–31

hypothesis tests 117, 119–31, 149, 156, 163 independent populations 120–5, 127–31, 133–4

linear regression 195–6, 198 logistic regression 217

matched populations 125–6, 131 mean 112–16, 120–6, 134 median 117–18, 127–31 Minitab 120, 123, 128

Normal distribution 112–13, 120, 127

odds ratios 134–5, 137–8 proportions 116–17, 126–7

ratio of two population parameters 133–8 risk ratios 134–6

single population parameter 111–18 SPSS 120, 122–3

standard error 112–16 survival 237–8 systematic review 242–3

confounders

linear regression 202–3, 204–5 logistic regression 222

risk ratios 136 study design 81, 84

consecutive sampling 74–5 constant coefficient 191 contact sampling 74–5 contingency tables 25–6

chi-squared test 162–4 logistic regression 221 risk 104

study design 79–80, 82 continuous metric data 7–8, 10

agreement 184–6 association 176, 180 charts 35–7, 40–1 frequency tables 20–2

linear regression 193, 194, 207 numeric summary values 57, 64

control groups 84, 86 controlling for confounders 81

correlation coefficients 175–80, 183 counts 9

covariates see independent variables Cox’s regression model 236

cross-over randomised control trials 86–8 cross-section studies 12

association 177–80 study design 76–8 cross-tabulations 25–6 cumulative data 37–41

cumulative frequencies 23–4 see also ogives

 

INDEX

279

data, definition 3–4

estimates 94–5

 

data collection see sampling

see also confidence intervals

 

databases 240, 241

exclusion criteria 240–1

 

death see survival

expected values 163–6, 182

 

deciles 57

experimental studies 83–90

 

decision rules 143–4

explanatory variable see independent

 

dependent variables 72, 193, 207,

variables

 

214–17

extraction of data 240–1

 

descriptive statistics

 

 

charts 29–41

false negatives/positives 150

 

definition 17–18

Fischer’s exact test 145

 

distribution 43–9

follow-up see cohort studies

 

frequency tables 5, 6, 17–27

forest plots 241–3, 250

 

numeric summary values 51–68

forwards elimination 202

 

design variables 199–200

forwards selection 201

 

deviance coefficient 222

frequency matching 81–2

 

diagnostics 205–9

frequency tables 5, 6, 17–27

 

discrete metric data 9, 10

categorical data 18–20, 23–6

 

charts 34–5, 37–8, 40–1

contingency tables 25–6

 

frequency tables 23

continuous data 20–2

 

numeric summary values 57, 64

cross-tabulations 25–6

 

dispersion measures 52, 57–68

cumulative frequencies 23–4

 

distribution 43–9

discrete data 23

 

bimodal 47

grouping data 20–2

 

binomial 116

metric data 20–3

 

hypothesis tests 144–5

nominal data 18–19

 

numeric summary values 55, 57, 58,

open-ended groups 22

 

65–8

ordinal data 20, 23–4

 

outliers 44

ranking data 27

 

skew 44–5, 55, 57, 62, 64, 131

relative frequency 19–20

 

symmetric 44, 46

funnel plots 244–6

 

transformed data 66–8

 

 

uniform 43

GCS see Glasgow Coma Scale

 

see also Normal distribution

generalisation see statistical inference

 

double-blind randomised control trials

generalised linear model 209

 

86

Glasgow Coma Scale (GCS) 5–7, 23–4

 

drop-out 89

goodness-of-fit 196–7, 203–4, 222–3

 

dummy variables 199–200

grouped data 20–2, 35–7

 

 

grouped frequency distributions 21–2

 

Edinburgh Maternal Depression

 

 

Scale 116

hazard function 236

 

elimination methods 202–3

hazard ratios 235–6

 

errors

heterogeneity 246–50

 

blinding 86

histograms 35–7, 41

 

drop-out 89

confidence intervals 120

 

hypothesis tests 149–50

distribution 44–6, 56, 65, 67

 

linear regression 194, 207–8,

linear regression 211

 

211

numeric summary values 56, 65,

 

recall bias 83

67

 

sampling 73, 83, 94, 112

homogeneity 246–50

 

selection bias 83, 84–5

homoskedasticity 195

 

280

INDEX

Hosmer-Lemeshow statistic 222–3 hypothesis tests

chi-squared test 145, 151, 161–8, 221, 222, 234

confidence intervals 117, 119–31, 149, 156, 163

decision rules 143–4

difference between population parameters 141–54

equality of population proportions 161–8 errors 149–50

Fischer’s exact test 145

independent populations 119–25, 127–31, 145–9, 151, 152–4, 162–3

Kruskal-Wallis test 145 logistic regression 221, 222 McNemar’s test 145, 162

Mann-Whitney rank-sums test 127–31, 145, 147–9, 151

matched populations 125–6, 131, 145, 147, 149, 151, 162

matched-pairs t test 125–6, 145, 147, 151 mean 145–7

median 145, 147–9 Minitab 146, 148–9 Normal distribution 144–5

p values 143–4, 146–9, 156–9, 164–6, 168 paired populations 145

power 150, 151–2, 168 procedure 143 proportions 161–8

ratio of two population parameters 155–9 research questions 142

rules of thumb 152–4 significance level 144, 150, 153 SPSS 146, 148

trend 166–8

two-sample t test 120–5, 145–6, 151, 222 Wilcoxon signed-rank test 117, 131, 145, 149,

151

see also null hypothesis

incidence rate 53–4 inclusion criteria 240–1 independent populations

difference 120–5, 127–31 hypothesis tests 145–9, 151, 152–4,

162–3

Mann-Whitney rank-sums test 127–31 ratios 133–4

two-sample t test 120–5

independent variables

linear regression 193, 199–201, 204, 207–8 logistic regression 216, 221–2

inferences 77, 93–5

informed guesses see confidence intervals Injury Severity Scale (ISS) 184 intention-to-treat 89

interquartile range (iqr) 58–61, 63–4, 232 interval property 8

iqr see interquartile range ISS see Injury Severity Scale

journals 244

Kaplan-Meier curves 230–1, 233–5 Kaplan-Meier tables 228–30 Kappa statistic 179, 182–4

Kendal’s rank-order correlation coefficient 180 Killip scale 157

Kruskal-Wallis test 145

L’Abbe´ plots 247

left skew see positive skew Levene’s test 123

limits of agreement 185–6 linear association 172–3, 175 linear regression 189–211

analysis of variance 209–11 association 190–1, 192 assumptions 194–5, 205–9 causal relationships 190–1 coding design 199–200 colinearity 198 confounders 202–3, 204–5 design variables 199–200 diagnostics 205–9

goodness-of-fit 196–7, 203–4 Minitab 196

model-building 200–1 multiple 197–9, 203, 205–9

nominal independent variables 199–200 ordinary least squares 193–8, 205, 209 population regression equation 194 sample regression equation 193

SPSS 195–6

statistical significance 195–6 variable selection 200–3 variation 190–1

location measures 52, 54–7, 59–61 log-log plots 238

log-rank test 233–5

 

INDEX

281

logistic regression 213–23

logistic regression 222

 

binary dependent variables 214–15

numeric summary values 57, 64

 

goodness-of-fit 222–3

MLE see maximum likelihood estimation

 

maximum likelihood estimation 217–18

mode 54, 57

 

Minitab 217–20

model-building 200–1

 

model-building 221–2

mound-shaped see symmetric distribution

 

multiple 221

multi-colinearity 198

 

odds ratios 217, 218–19, 220

multiple linear regression 197–9, 203, 205–9

 

regression coefficient 219

multiple logistic regression 221

 

SPSS 217, 220–1

multivariate analysis 223, 238

 

statistical inference 220–1

 

 

longitudinal studies see case-control studies;

n-tiles 57

 

cohort studies

negative

 

 

association 172–3

 

McNemar’s test 145, 162

outcomes 244

 

Mann-Whitney rank-sums test 127–31, 145,

skew 44–5, 55, 62

 

147–9, 151

NNT see number needed to treat

 

Mantel-Haenszel test 248–50

nominal categorical data 4–5, 10

 

manual variable selection 200, 202–3

agreement 184

 

matched case-control studies 81, 82, 102

charts 30–4, 41

 

matched populations 125–6, 131, 145, 147, 149,

frequency tables 18–19

 

151, 162

linear regression 199–200

 

matched-pairs t test 125–6, 145, 147, 151

numeric summary values 57, 64

 

maximum likelihood estimation (MLE) 217–18

non-linear association 173, 175

 

mean

see also logistic regression

 

confidence intervals 112–16, 120–6, 134

non-parametric tests 127, 144–5, 151

 

hypothesis tests 145–7

Normal distribution 48–9

 

linear regression 197–8

association 176

 

numeric summary values 55, 57

confidence intervals 112–13, 120, 127

 

standard error 112–16

hypothesis tests 144–5

 

statistical inference 94

linear regression 194, 207, 209

 

systematic review 242–3, 249

probability 100

 

measurements 8, 10

standard deviation 65–8

 

median

null hypothesis

 

confidence intervals 117–18, 127–31

difference between population parameters

 

hypothesis tests 145, 147–9

142–5, 148, 150

 

numeric summary values 54–5, 57, 59–61

ratio of two population parameters 155–6, 158,

statistical inference 94

163–4, 168

 

survival time 231–2

survival 233–4

 

meta-analysis 239, 240, 246–50

number lines 6

 

homogeneity/heterogeneity 246–50

number needed to treat (NNT) 98, 106–7

 

L’Abbe´ plots 247

numeric summary values 51–68

 

Mantel-Haenszel test 248–50

dispersion measures 52, 57–68

 

metric data 4, 7–9, 10

distribution 55, 57, 58, 65–8

 

agreement 184–6

incidence rate 53–4

 

association 176, 180

interquartile range 58–61, 63–4

 

charts 34–8, 40–1

location measures 52, 54–7, 59–61

 

confidence intervals 120, 126, 127, 131

numbers 52–3

 

frequency tables 20–3

ogives 60–1

 

hypothesis tests 145, 152–3

outliers 55, 57, 58, 62

 

linear regression 193, 194, 207

percentages 52–3

 

282

INDEX

numeric summary values (Continued) percentiles 56–7

prevalence 53–4 proportions 52–3 quantitation 52 range 58

skew 55, 57, 62, 64 standard deviation 62–8 transformed data 66–8

observed values 163–6 odds 101–2, 103

odds ratios 105–6

confidence intervals 134–5, 137–8 hypothesis tests 158–9

logistic regression 217, 218–19, 220 systematic review 245–6, 248–9

ogives 38–40, 41, 60–1

OLS see ordinary least squares open trials 86

open-ended groups 22 opinions 77

ordered categorical data 166–8 ordering of data 5–7, 10, 18–20 ordinal categorical data 5–7, 10

agreement 184 association 180

charts 30–4, 37–8, 40–1 confidence intervals 127, 131 frequency tables 19–20, 23–4 hypothesis tests 145

numeric summary values 55, 57, 64 ordinary least squares (OLS) 193–8, 205, 209 outcome variables see dependent variables outliers

distribution 44 frequency tables 22 meta-analysis 247

numeric summary values 55, 57, 58, 62 OXCHECK Study Group 39

pvalues association 176–9

hypothesis testing 143–4, 146–9, 156–9, 164–6, 168

linear regression 195–7, 198, 201–2 logistic regression 217, 220, 221–2 survival 234, 237–8

Palliative Care Outcome scale (POS) 183 parallel design 86

parametric tests 127, 144–5, 151

parsimony 202

Pearson’s correlation coefficient 175–7 percentages

cumulative frequency 38–40 frequency 19–20

numeric summary values 52–3 percentiles 56–7

period prevalence 53 pie charts 30–1, 41 placebo bias 86

point-biseral correlation coefficient 180 point prevalence 53

Poisson distribution 48–9 population

correlation coefficients 175–7 difference between parameters 119–31,

141–54

logistic regression model 215–16 mean 112–16, 120–6, 134, 145–7 median 117–18, 127–31, 145, 147–9 odds ratios 137, 158–9

proportions 116–17, 126–7

ratio of two parameters 133–8, 155–9 regression equation 194

risk ratios 155–6

single parameter 111–18 statistical inference 93–5 study design 72–3 survival 230

see also confidence intervals; hypothesis tests

POS see Palliative Care Outcome scale positive

association 172–3 outcomes 244

skew 44–5, 55, 57, 62 power of a test 150, 151–2, 168 predictions 196

predictors see independent variables prevalence 53–4, 77

probability 97–100 calculation 99–100

case-control studies 98, 102–3, 105–6 cohort studies 100–1, 102, 104, 106–7 definition 98

logistic regression 215 Normal distribution 100

number needed to treat 98, 106–7 odds 101–2, 103

odds ratios 105–6 Poisson distribution 48–9

INDEX

283

risk 100–1, 102–3 risk ratios 104 survival 228–31

proportional frequency 99 proportional hazards 236–8 proportions

confidence intervals 116–17, 126–7 hypothesis tests 161–8

numeric summary values 52–3 populations 161–8

samples 116

prospective studies see cohort studies

Psychiatric Symptom Frequency (PSF) scale 46–7 publication bias 244, 245

quintiles 57

random number tables 85, 251 randomisation 74, 84–5, 88–9 randomised controlled trials (RCT)

hypothesis tests 146, 151, 156–7, 165 study design 85, 86–90

systematic review 242 range 58

ranked data frequency tables 27

Kendal’s rank-order correlation coefficient 180

log-rank test 233–5

Mann-Whitney rank-sums test 127–31, 145, 147–9, 151

Spearman’s rank correlation coefficient 177–80, 183

Wilcoxon signed-rank test 117, 131, 145, 149, 151

ratio property 8

RCT see randomised control trials recall bias 83

reference values 102

regression see linear regression; logistic regression relative frequency 19–20

cumulative 38–9, 60 relative risk see risk ratios research questions 142 residuals 194, 207–8, 211 response bias 86

response variables see dependent variables retrospective studies see case-control studies review see systematic review

right skew see negative skew risk 100–1, 102–3, 217

risk ratios 100, 104 confidence intervals 134–6 hypothesis tests 155–7 survival 237

systematic review 242, 245, 248, 250 rules of thumb 152–4

sample

correlation coefficients 175–80 logistic regression model 216 mean 112, 116, 120–2, 134 odds ratios 137

percentage 94 proportions 116 regression equation 193 statistic 94

survival 230 sampling 72, 73

errors 73, 83, 94, 112 frames 74

randomisation 74, 84–5, 88–9 statistical inference 93–5 types 74–5

scatterplots 172–5, 176

linear regression 192, 196, 201, 208–11 logistic regression 214–16

selection bias 83, 84–5, 88–9 significance level (α) 144, 150, 153 simple bar charts 31–2

simple random sampling 74 skew 44–5, 55, 57, 62, 64, 131 slope coefficient 191

Spearman’s rank correlation coefficient 177–80, 183

spread see dispersion measures stacked bar charts 34 standard deviation 62–8

agreement 185–6 confidence intervals 120, 123

standard error 112–16 statistical inference 77, 93–5 step charts 37–8, 41 stepwise selection 201–2

straight line models see linear regression stratified random sampling 74

study design 71–90 blinding 86

case-control studies 80–3 case-series studies 76 clinical trials 84

cohort studies 78–80, 83

284

INDEX

study design (Continued)

Mantel-Haenszel test 248–50

confounders 81, 84

meta-analysis 239, 240, 246–50

contingency tables 79–80, 82

methods 240–3

cross-section studies 76–8

publication bias 244, 245

experimental studies 83–90

search strategy 241

intention-to-treat 89

 

matching 81–2

t distribution 114, 120–6, 145–7, 151, 222

outcome variables 72

tables see frequency tables

populations 72–3

target populations 73, 75, 93–4

randomisation 83, 84–5, 88–9

test statistic 164

randomised control trials 85, 86–90

tests see hypothesis tests

sampling 72–5, 83–5, 88–9

time series charts 40–1

types of study 75–81

transformed data 66–8

study populations 73, 75, 93–4

treatment bias 86

sub-groups 25

treatment groups 84, 86

sum of squares 63

trend 166–8

summary values see numeric summary values

two-sample t test 120–5, 145–6, 151, 222

surveys 76–8

type I/II errors 150

survival 227–38

 

censored data 228

uniform distributions 43

comparison between groups 232–9

units 5, 7–9

Cox’s regression model 236

univariate analysis 238

hazard ratios 235–6

univariate logistic regression 222

Kaplan-Meier curves 230–1, 233–5

unmatched case-control studies 81–2

Kaplan-Meier tables 228–30

 

log-log plots 238

variables

log-rank test 233–5

characteristics 9–13

median 231–2

definition 3–4

null hypothesis 233–4

selection 200–3

probability 228–31

types 4–9

proportional hazards 236–8

see also categorical; continuous; discrete;

single groups 228

metric; nominal; ordinal data

symmetric distribution 44, 46

variation 190–1

systematic random sampling 74

visual analogue scale (VAS) 10, 59, 118

systematic review 239–45

 

extraction of data 240–1

Wald statistic 220–1

forest plots 241–3, 250

weighted kappa 184

funnel plots 244–6

weighted mean 242–3, 249

homogeneity/heterogeneity 246–50

Wilcoxon signed-rank test 117, 131, 145, 149,

identification of trials 240–1

151

inclusion criteria 240–1

 

L’Abbe´ plots 247

z distribution 220