Biostatistics for Radiologists: Planning, Performing, and Writing a Radiologic StudyThe aim of this book is to present statistical problems and methods in a friendly way to radiologists, emphasizing statistical issues and methods most frequently used in radiological studies (e.g., nonparametric tests, analysis of intra- and interobserver reproducibility, comparison of sensitivity and specificity among different imaging modality, difference between clinical and screening application of diagnostic tests, ect.). The tests will be presented starting from a radiological "problem" and all examples of statistical methods applications will be "radiological". |
Contents
Introduction | 1 |
Diagnostic Performance | 19 |
Variables and Measurement Scales Normal Distribution | 41 |
Null Hypothesis Statistical Significance and Power | 66 |
References | 91 |
Linear Correlation and Regression | 109 |
Intraobserver | 125 |
Study Design Systematic Reviews | 141 |
References | 163 |
Bias in Studies on Diagnostic Performance | 165 |
How to Write a Radiologic Paper | 181 |
| 220 | |
Other editions - View all
Biostatistics for Radiologists: Planning, Performing, and Writing a ... Francesco Sardanelli,Giovanni Di Leo No preview available - 2008 |
Common terms and phrases
ALTMAN analysis Annu Rev assessment BI-RADS bias Biostatistics breast cancer calculation Chapter Clin clinical practice compared comparison confidence interval consider continuous variables contrast agent correlation coefficient curve cutoff defined demonstrate diagnostic examination diagnostic performance difference disease prevalence disease probability ejection fraction enrolled equal error estimation evaluation evidence-based medicine example experimental hypothesis false negatives false positive Figure Gaussian graph imaging modalities impact impact factor Institutional Review Board interobserver variability lesions mammography manuscript mathematical McNemar test MDCT meta-analyses methods non-parametric non-parametric statistics normal distribution null hypothesis observed obtained paper parametric statistics patients population possible post-test predictive value pretest disease Radiol radiologic studies radiologists radiology random ratio reader reference standard regression line reported sample means Sardanelli scientific screening sensitivity and specificity signal intensity standard deviation statistical tests studies on diagnostic study design subjects Table techniques tion treatment true negatives tumors variance