Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

A A Ding

Showing results (1-10 of 9) with videos related to

Pageof 1
Sort By:
IEEE Transactions on Neural Networks|February 7, 2008
Neural-network prediction with noisy predictorsA A Ding
IEEE Transactions on Neural Networks|February 2, 2008
Backpropagation of pseudo-errors: neural networks that are adaptive to heterogeneous noiseA A Ding, Xiali He
Biometrics|April 25, 2001
Population HIV-1 dynamics in vivo: applicable models and inferential tools for virological data from AIDS clinical trialsH Wu, A A Ding
Mathematical Biosciences|August 31, 1999
Relationships between antiviral treatment effects and biphasic viral decay rates in modeling HIV dynamicsA A Ding, H Wu
Biometrics|April 28, 2000
A comparison study of models and fitting procedures for biphasic viral dynamics in HIV-1 infected patients treated with antiviral therapiesA A Ding, H Wu
Biostatistics (Oxford, England)|August 23, 2003
Assessing antiviral potency of anti-HIV therapies in vivo by comparing viral decay rates in viral dynamic modelsA A Ding, H Wu
Statistics in Medicine|November 20, 1998
Estimation of HIV dynamic parametersH Wu, A A Ding, V De Gruttola
AIDS (London, England)|April 13, 1999
Why are the decay rates in plasma HIV-1 different for different treatments and in different patient populations?H Wu, A A Ding, V De Gruttola
Journal of Acquired Immune Deficiency Syndromes (1999)|August 24, 1999
Inappropriate model-fitting methods may lead to significant underestimates of viral decay rates in HIV dynamic studiesH Wu, P Ruan, A A Ding, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
IEEE Transactions on Neural Networks|February 7, 2008
Neural-network prediction with noisy predictorsA A Ding
IEEE Transactions on Neural Networks|February 2, 2008
Backpropagation of pseudo-errors: neural networks that are adaptive to heterogeneous noiseA A Ding, Xiali He
Biometrics|April 25, 2001
Population HIV-1 dynamics in vivo: applicable models and inferential tools for virological data from AIDS clinical trialsH Wu, A A Ding
Mathematical Biosciences|August 31, 1999
Relationships between antiviral treatment effects and biphasic viral decay rates in modeling HIV dynamicsA A Ding, H Wu
Biometrics|April 28, 2000
A comparison study of models and fitting procedures for biphasic viral dynamics in HIV-1 infected patients treated with antiviral therapiesA A Ding, H Wu
Biostatistics (Oxford, England)|August 23, 2003
Assessing antiviral potency of anti-HIV therapies in vivo by comparing viral decay rates in viral dynamic modelsA A Ding, H Wu
Statistics in Medicine|November 20, 1998
Estimation of HIV dynamic parametersH Wu, A A Ding, V De Gruttola
AIDS (London, England)|April 13, 1999
Why are the decay rates in plasma HIV-1 different for different treatments and in different patient populations?H Wu, A A Ding, V De Gruttola
Journal of Acquired Immune Deficiency Syndromes (1999)|August 24, 1999
Inappropriate model-fitting methods may lead to significant underestimates of viral decay rates in HIV dynamic studiesH Wu, P Ruan, A A Ding, et al.
Pageof 1