Petrie A., Sabin C. — Medical Statistics at a Glance :: Электронная библиотека попечительского совета мехмата МГУ

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Petrie A., Sabin C. — Medical Statistics at a Glance

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Название: Medical Statistics at a Glance

Авторы: Petrie A., Sabin C.

Аннотация:

Univ. College London, UK. Basic introduction to the underlying concepts of medical statistics and guide to commonly used procedures. Key features include: worked examples to accompany each topic, and emphasis on computer analysis of data rather than hand calculations. To be used as a reference and revision summary.

Язык:

Рубрика: Математика/Вероятность/Статистика и приложения/

Статус предметного указателя: Готов указатель с номерами страниц

ed2k: ed2k stats

Год издания: 2000

Количество страниц: 138

Добавлена в каталог: 05.06.2005

Операции: Положить на полку | Скопировать ссылку для форума | Скопировать ID

Предметный указатель

Risk factors      37
Risk scores      80—81
Robust analysis      46 82
Sample      8 26
Sample size      32 35
Sample size calculations      84—86 119
Sample size importance      84
Sample size, power and      44 45 84
Sample, convenience      26
Sample, random      26
Sample, representative      26
Sample, statistic      26
Sample, training      81
Sample, validation      81
Sampling      26—27
Sampling distributions      26—27
Sampling error      26
Sampling frame      26
Sampling quota      26
Sampling systematic      26
Sampling variation      26
Saturated models      80
Scatter diagram      15 67 70 72
Scheffe's test      55
Scores      9
screening      71
SD      see “Standard deviation”
SE      see “Standard error”
Seasonal variation      104
Segmented column (bar) chart      14 15
Selection bias      31 38
SEM (standard error of mean)      26—27 87
Sensitivity      90 92
Serial correlation      104 105
Shapiro-Wilk test      82
Sign test      46—47 48 112 114
Sign test, for a proportion      58—59 60
Sign test, paired data      49—50
Significance level      42—43 44
Significance level in sample size calculation      84
Significance testing      see “Hypothesis testing”
Significant result      42
Single-blind trial      34
Single-coded variables      10
Skewed data      46
Skewed data, negatively      14 15
Skewed data, positively      14 26
Skewed data, transformations for      24—25
Slope, regression line      70 72—73 74
Spearman's rank correlation coefficient      68 69 113 117 124
Specificity      90 92
Spread of data      18—19 87
Square root transformation      24—25
Square transformation      25
Standard deviation (SD)      19 27 87
Standard deviation (SD) pooled      55 57
Standard error (SE)      87
Standard error (SE) of mean (SEM)      26—27 87
Standard error (SE) of proportion      27
Standard error (SE) of slope      72—73
Standard error (SE) vs standard deviation      27
Standard normal distribution      21 112 113 114
Standardized difference      84
Standardized Normal Deviate (SND)      21
Stationary time series      104
Statistic      20
Statistic sample      26
Statistic test      42
Statistical tables      112—118
Statistics, definition of      8
Stem-and-leaf plot      14 75 120
Stepwise selection      80
Stratified randomization      34

Stratum      32
Student's t-distribution      see “t-distribution”
Subjective probability      20
Summary measures for repeated measures      101
Summary measures of location      16—17
Summary measures of spread      18—19
Survival analysis      106—108
Survival curves (Kaplan — Meier)      106 107
Survival probability      106
Symmetrical distribution      14 76
Systematic allocation      34
Systematic reviews      98
t-distribution      22 112 113
t-distribution for confidence interval estimation      28
t-test for partial regression coefficients      76
t-test one-sample      46 47
t-test paired      49 50 85 120
t-test, unpaired (two-sample)      52 53—54 85—86 123
Tables      87
Tables statistical      112—118
Test statistic for a specific test      see “Hypothesis testing”
Test statistic, explanation of      42
Text format      10
Time series      104—105
Training sample      81
Transformation, data      24—25
Treatment      32
Treatment, allocation      34
Treatment, comparisons      34
Treatment, effect      44
Treatment, efficacy      34
Trend overtime      104
Trend, Chi-squared test for      64—65 66
Two-sample t-test      52 53—54 85—86 123
Two-tailed test      42
Type I, II errors      44
Typing errors      12
Unbiased estimate      26
Uniform distribution      14
Uniodal distribution      14
Unit, experimental      32
Unpaired t-test      see “Two-sample t-test”
Validation sample      81
Validity      81
Variability      18 44
Variability, sample size calculation and      84
Variables      8 (see also “Data” “Specific
Variance      18—19
Variance of discrete distributions      23
Variance residual      55 71
Variance, heterogeneity of      82 98
Variance, homogeneity of      82
Variance, stabilizing transformations      24 25
Variance, testing for equality of two      56 82 83 123
Variance-ratio test      see “F-test”
Variation      32
Variation between-group      55
Variation between-subject      19
Variation within-group      55
Variation within-subject      19
Variation, coefficient of      19
Variation, cyclic      104 105
Variation, overtime      104
Variation, random      32 104
Variation, sampling      26
Variation, unexplained (residual)      55 71
Wald test statistic      78
washout period      32
Weibull model      107
Wilcoxon rank sum (two-sample) test      53 54 112 116
Wilcoxon signed ranks test      47 49—50 51 112 115
z value      47 48 112 113
z-test      46

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