Statistics Applied to Clinical TrialsSpringer Science & Business Media, 2002 - Broj stranica: 210 Preface. Foreword. 1. Hypotheses, Data, Stratification. 2. The analysis of efficacy data of drug trials. 3. The analysis of safety data of drug trials. 4. Equivalence testing. 5. Statistical power and sample size. 6. Interim analysis. 7. Multiple statistical inferences. 8. Principles of linear regression. 9. Subgroup analysis multiple linear regression: confounding, interaction, synergism. 10. Curvilinear regression. 11. Meta-analysis. 12. Crossover studies with continuous variables: power analysis. 13. Crossover studies with binary responses. 14. Post-hoc analysis in clinical trials, a case for logistic regression analysis. 15. quality-of-life assessment in clinical trials. 16. Statistics for the analysis of genetic data. 17. Relationship among statistical distributions. 18. Statistics is not "bloodless" algebra. Appendix. Index. |
Sadržaj
III | 1 |
IV | 17 |
V | 39 |
VI | 45 |
VIII | 51 |
IX | 63 |
XI | 71 |
XII | 81 |
XVI | 117 |
XVIII | 131 |
XX | 141 |
XXII | 155 |
XXV | 164 |
XXVI | 165 |
XXVII | 175 |
XXIX | 189 |
Ostala izdanja - Prikaži sve
Statistics Applied to Clinical Trials Ton J. M. Cleophas,Aeilko H. Zwinderman,Toine F. Cleophas Pregled nije dostupan - 2002 |
Statistics Applied to Clinical Trials Ton J. M. Cleophas,Aeilko H. Zwinderman,Toine F. Cleophas Pregled nije dostupan - 2002 |
Uobičajeni izrazi i fraze
ABPM adjustment angina pectoris ANOVA assessed beta beta-blocker binary response bisacodyl Bonferroni calcium channel blockers carryover effect chance chapter clinical trials compared confidence intervals continuous data correlation coefficient covariates crossover studies crossover trials curve degrees of freedom demonstrated distant from zero drug efficacy variable endpoints equivalence testing estimate example Figure genes heterogeneity hypertension individual data interim analysis Intra-class correlations linear regression logistic regression mean result meta-analyses method n₂ negative correlation normal distribution null hypothesis number of patients odds ratio otherwise called p-value paired patients'opinion placebo polynomes pravastatin probability procedure proportions randomized regression analysis regression model reject the null reject the null-hypothesis residual risk sample scores SD,² SEMS distant sensitivity standard error statistical analysis statistical power Statistical Software statistical tests statistically significant systolic blood pressure t-distribution t-test Table test for carryover test statistic test treatment treatment difference treatment effect treatment groups unpaired variance variation x-axis