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Pathologica
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January 31, 2006
Tecniche "high throughput" in patologia umana. Biostatistica. "High throughput" technique in human pathology. Biostatistics
E Biganzoli, P Boracchi
The International Journal of Biological Markers
|
April 18, 2003
Markers of prognosis and response to treatment: ready for clinical use in oncology? A biostatistician's viewpoint
P Boracchi, E Biganzoli
The International Journal of Biological Markers
|
April 18, 2003
Biostatistics and tumor marker studies in breast cancer: design, analysis and interpretation issues
E Biganzoli, P Boracchi, E Marubini
Statistics in Medicine
|
January 10, 2002
Modelling cause-specific hazards with radial basis function artificial neural networks: application to 2233 breast cancer patients
P Boracchi, E Biganzoli, E Marubini
Journal of Biopharmaceutical Statistics
|
July 19, 2001
Simple way to estimate the median time and compare survival distributions in analgesic trials under informative censoring [letter]
E Marubini, P Boracchi, E Biganzoli
Statistics in Medicine
|
June 10, 1998
Feed forward neural networks for the analysis of censored survival data: a partial logistic regression approach
E Biganzoli, P Boracchi, L Mariani, et al.
Diagnostic Microbiology and Infectious Disease
|
March 1, 1992
Diffusion of teicoplanin and vancomycin in agar
L A Cavenaghi, E Biganzoli, A Danese, et al.
The International Journal of Biological Markers
|
November 24, 1999
A guide for reviewing submitted manuscripts (and indications for the design of translational research studies on biomarkers)
M Gion, P Boracchi, E Biganzoli, et al.
The British Journal of Surgery
|
January 1, 1997
Conservative surgery for infiltrating lobular breast carcinoma
B Salvadori, E Biganzoli, P Veronesi, et al.
Annals of Oncology : Official Journal of the European Society for Medical Oncology
|
September 25, 2003
Prognosis in node-negative primary breast cancer: a neural network analysis of risk profiles using routinely assessed factors
E Biganzoli, P Boracchi, D Coradini, et al.
Page
of 5
Search research articles
Search
Showing results (1-10 of 41) with videos related to
Sort By:
Page
of 5
Pathologica
|
January 31, 2006
Tecniche "high throughput" in patologia umana. Biostatistica. "High throughput" technique in human pathology. Biostatistics
E Biganzoli, P Boracchi
The International Journal of Biological Markers
|
April 18, 2003
Markers of prognosis and response to treatment: ready for clinical use in oncology? A biostatistician's viewpoint
P Boracchi, E Biganzoli
The International Journal of Biological Markers
|
April 18, 2003
Biostatistics and tumor marker studies in breast cancer: design, analysis and interpretation issues
E Biganzoli, P Boracchi, E Marubini
Statistics in Medicine
|
January 10, 2002
Modelling cause-specific hazards with radial basis function artificial neural networks: application to 2233 breast cancer patients
P Boracchi, E Biganzoli, E Marubini
Journal of Biopharmaceutical Statistics
|
July 19, 2001
Simple way to estimate the median time and compare survival distributions in analgesic trials under informative censoring [letter]
E Marubini, P Boracchi, E Biganzoli
Statistics in Medicine
|
June 10, 1998
Feed forward neural networks for the analysis of censored survival data: a partial logistic regression approach
E Biganzoli, P Boracchi, L Mariani, et al.
Diagnostic Microbiology and Infectious Disease
|
March 1, 1992
Diffusion of teicoplanin and vancomycin in agar
L A Cavenaghi, E Biganzoli, A Danese, et al.
The International Journal of Biological Markers
|
November 24, 1999
A guide for reviewing submitted manuscripts (and indications for the design of translational research studies on biomarkers)
M Gion, P Boracchi, E Biganzoli, et al.
The British Journal of Surgery
|
January 1, 1997
Conservative surgery for infiltrating lobular breast carcinoma
B Salvadori, E Biganzoli, P Veronesi, et al.
Annals of Oncology : Official Journal of the European Society for Medical Oncology
|
September 25, 2003
Prognosis in node-negative primary breast cancer: a neural network analysis of risk profiles using routinely assessed factors
E Biganzoli, P Boracchi, D Coradini, et al.
Page
of 5