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Anthony N Pettitt

Showing results (1-10 of 13) with videos related to

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Infection Control and Hospital Epidemiology|August 12, 2005
Use of stochastic epidemic modeling to quantify transmission rates of colonization with methicillin-resistant Staphylococcus aureus in an intensive care unitMarie Forrester, Anthony N Pettitt
Biometrics|October 18, 2013
Bayesian experimental design for models with intractable likelihoodsChristopher C Drovandi, Anthony N Pettitt
Accident; Analysis and Prevention|August 9, 2011
Driving performance impairments due to hypovigilance on monotonous roadsGrégoire S Larue, Andry Rakotonirainy, Anthony N Pettitt
Ergonomics|September 25, 2010
Real-time performance modelling of a Sustained Attention to Response TaskGrégoire S Larue, Andry Rakotonirainy, Anthony N Pettitt
Statistics in Medicine|October 15, 2013
Incorporating adverse event relatedness into dose-finding clinical trial designsDarsy Darssan, Mery H Thompson, Anthony N Pettitt
Biometrics|October 11, 2014
Model choice problems using approximate Bayesian computation with applications to pathogen transmission data setsXing Ju Lee, Christopher C Drovandi, Anthony N Pettitt
Infection, Disease & Health|May 8, 2024
Quantifying the relative effect of environmental contamination on surgical ward MRSA incidence: An exploratory analysisXing J Lee, Anthony N Pettitt, Stephanie J Dancer
Plos Computational Biology|December 8, 2015
Melanoma Cell Colony Expansion Parameters Revealed by Approximate Bayesian ComputationBrenda N Vo, Christopher C Drovandi, Anthony N Pettitt, et al.
Biometrics|December 13, 2006
Motor unit number estimation--a Bayesian approachP Gareth Ridall, Anthony N Pettitt, Robert D Henderson, et al.
Mathematical Biosciences|March 10, 2015
Quantifying uncertainty in parameter estimates for stochastic models of collective cell spreading using approximate Bayesian computationBrenda N Vo, Christopher C Drovandi, Anthony N Pettitt, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Infection Control and Hospital Epidemiology|August 12, 2005
Use of stochastic epidemic modeling to quantify transmission rates of colonization with methicillin-resistant Staphylococcus aureus in an intensive care unitMarie Forrester, Anthony N Pettitt
Biometrics|October 18, 2013
Bayesian experimental design for models with intractable likelihoodsChristopher C Drovandi, Anthony N Pettitt
Accident; Analysis and Prevention|August 9, 2011
Driving performance impairments due to hypovigilance on monotonous roadsGrégoire S Larue, Andry Rakotonirainy, Anthony N Pettitt
Ergonomics|September 25, 2010
Real-time performance modelling of a Sustained Attention to Response TaskGrégoire S Larue, Andry Rakotonirainy, Anthony N Pettitt
Statistics in Medicine|October 15, 2013
Incorporating adverse event relatedness into dose-finding clinical trial designsDarsy Darssan, Mery H Thompson, Anthony N Pettitt
Biometrics|October 11, 2014
Model choice problems using approximate Bayesian computation with applications to pathogen transmission data setsXing Ju Lee, Christopher C Drovandi, Anthony N Pettitt
Infection, Disease & Health|May 8, 2024
Quantifying the relative effect of environmental contamination on surgical ward MRSA incidence: An exploratory analysisXing J Lee, Anthony N Pettitt, Stephanie J Dancer
Plos Computational Biology|December 8, 2015
Melanoma Cell Colony Expansion Parameters Revealed by Approximate Bayesian ComputationBrenda N Vo, Christopher C Drovandi, Anthony N Pettitt, et al.
Biometrics|December 13, 2006
Motor unit number estimation--a Bayesian approachP Gareth Ridall, Anthony N Pettitt, Robert D Henderson, et al.
Mathematical Biosciences|March 10, 2015
Quantifying uncertainty in parameter estimates for stochastic models of collective cell spreading using approximate Bayesian computationBrenda N Vo, Christopher C Drovandi, Anthony N Pettitt, et al.
Pageof 2