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

Anthony O'Hagan

Showing results (1-10 of 30) with videos related to

Pageof 3
Sort By:
Journal of Health Economics|May 4, 2004
On estimators of medical costs with censored dataAnthony O'Hagan, John W Stevens
International Journal of Technology Assessment in Health Care|February 27, 2003
Incorporation of genuine prior information in cost-effectiveness analysis of clinical trial dataJohn W Stevens, Anthony O'Hagan
BMC Medical Research Methodology|March 27, 2002
The probability of cost-effectivenessAnthony O'Hagan, John W Stevens
Health Economics|December 17, 2002
Assessing and comparing costs: how robust are the bootstrap and methods based on asymptotic normality?Anthony O'Hagan, John W Stevens
Psychometrika|March 28, 2015
Advances in Modeling Model Discrepancy: Comment on Wu and Browne (2015)Robert C MacCallum, Anthony O'Hagan
International Journal of Technology Assessment in Health Care|April 11, 2008
Why licensing authorities need to consider the net value of new drugs in assigning review priorities: addressing the tension between licensing and reimbursementChristopher McCabe, Karl Claxton, Anthony O'Hagan
Health Economics|December 19, 2006
Monte Carlo probabilistic sensitivity analysis for patient level simulation models: efficient estimation of mean and variance using ANOVAAnthony O'Hagan, Matt Stevenson, Jason Madan
Social Science & Medicine (1982)|December 13, 2006
Modelling covariates for the SF-6D standard gamble health state preference data using a nonparametric Bayesian methodSamer Kharroubi, John E Brazier, Anthony O'Hagan
Biometrics|April 7, 2020
Rejoinder to "Predictively consistent prior effective sample sizes," by Beat Neuenschwander, Sebastian Weber, Heinz Schmidli, and Anthony O'HaganBeat Neuenschwander, Sebastian Weber, Heinz Schmidli, et al.
Biometrics|March 7, 2020
Predictively consistent prior effective sample sizesBeat Neuenschwander, Sebastian Weber, Heinz Schmidli, et al.
Pageof 3

Showing results (1-10 of 30) with videos related to

Sort By:
Pageof 3
Journal of Health Economics|May 4, 2004
On estimators of medical costs with censored dataAnthony O'Hagan, John W Stevens
International Journal of Technology Assessment in Health Care|February 27, 2003
Incorporation of genuine prior information in cost-effectiveness analysis of clinical trial dataJohn W Stevens, Anthony O'Hagan
BMC Medical Research Methodology|March 27, 2002
The probability of cost-effectivenessAnthony O'Hagan, John W Stevens
Health Economics|December 17, 2002
Assessing and comparing costs: how robust are the bootstrap and methods based on asymptotic normality?Anthony O'Hagan, John W Stevens
Psychometrika|March 28, 2015
Advances in Modeling Model Discrepancy: Comment on Wu and Browne (2015)Robert C MacCallum, Anthony O'Hagan
International Journal of Technology Assessment in Health Care|April 11, 2008
Why licensing authorities need to consider the net value of new drugs in assigning review priorities: addressing the tension between licensing and reimbursementChristopher McCabe, Karl Claxton, Anthony O'Hagan
Health Economics|December 19, 2006
Monte Carlo probabilistic sensitivity analysis for patient level simulation models: efficient estimation of mean and variance using ANOVAAnthony O'Hagan, Matt Stevenson, Jason Madan
Social Science & Medicine (1982)|December 13, 2006
Modelling covariates for the SF-6D standard gamble health state preference data using a nonparametric Bayesian methodSamer Kharroubi, John E Brazier, Anthony O'Hagan
Biometrics|April 7, 2020
Rejoinder to "Predictively consistent prior effective sample sizes," by Beat Neuenschwander, Sebastian Weber, Heinz Schmidli, and Anthony O'HaganBeat Neuenschwander, Sebastian Weber, Heinz Schmidli, et al.
Biometrics|March 7, 2020
Predictively consistent prior effective sample sizesBeat Neuenschwander, Sebastian Weber, Heinz Schmidli, et al.
Pageof 3