Primer on Multiple Regression Models for Diagnostic Imaging Research

Radiology

Volumn 229, Issue 2, 2003, Pages 305-310

  Gareen, Llana F ^a   Gatsonis, Constantine ^a  

^a BROWN UNIVERSITY   (United States)

Author keywords

Statistical analysis

Indexed keywords

ARTICLE; DATA ANALYSIS; DIAGNOSTIC IMAGING; LOGISTIC REGRESSION ANALYSIS; MEDICAL RESEARCH; MULTIPLE REGRESSION; PRIORITY JOURNAL; RESTENOSIS; STATISTICAL MODEL;

CONFOUNDING FACTORS (EPIDEMIOLOGY); DATA INTERPRETATION, STATISTICAL; DIAGNOSTIC IMAGING; LOGISTIC MODELS; MULTIVARIATE ANALYSIS; REGRESSION ANALYSIS;

EID: 0142148024     PISSN: 00338419     EISSN: None     Source Type: Journal    
DOI: 10.1148/radiol.2292030324     Document Type: Article

References (11)

1. Sunshine JH, Burkhardt JH. Radiology groups' workload in relative value units and factors affecting it. Radiology 2000: 214:815-822.
2. Goodman LR, Lipchik RJ, Kuzo RS, Liu Y, McAuliffe TL, O'Brien DJ. Subsequent pulmonary embolism: risk after a negative helical CT pulmonary angiogram-prosepctive comparison with scintigraphy. Radiology 2000; 215:535-542.
3. Blackmore CC, Emerson S, Mann F, Koepsell T. Cervical spine imaging in patients with trauma: determination of fracture risk to optimize use. Radiology 1999; 211:759-765.
4. Kleinbaum DG, Kupper LL, Muller KE, Nizam A. Applied regression analysis and other multivariable methods. 3rd ed. Boston, Mass: Duxbury, 1998.
5. Zou KH, Tuncali K, Silverman SG. Correlation and simple linear regression. Radiology 2003; 227:617-628.
6. Hosmer DW, Lemeshow S. Applied logistic regression. New York, NY: Wiley, 1989.
7. D'Agostino RB Jr. Propensity score methods for bias reduction in the comparison of a treatment to a non-randomized control group. Stat Med 1998; 17:2265-2281.
8. Neter J, Kutner M, Nachtscheim C, Wasserman W. Applied linear statistical models. 4th ed. Chicago, Ill: Irwin/McGrawHill, 1996.
9. Mercado N, Boersma E, Wijns W, et al. Clinical and quantitative coronary angiographic predictors of coronary restenosis: a comparative analysis from the balloon-to-stent era. J Am Coll Cardiol 2001; 38: 645-652.
10. Tosteson AN, Begg CB. A general regression methodology for ROC curve estimation. Med Decision Making 1988; 8:204-215.
11. Toledano A, Gatsonis C. Ordinal regression methodology for ROC curves derived from correlated data. Stat Med 1995 15:1807-1826.