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Andrew B Forbes

Showing results (51-60 of 133) with videos related to

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BMC Research Notes|January 23, 2025
Interrupted time series datasets from studies investigating the impact of interventions or exposures in public health and social science: a data noteSimon L Turner, Elizabeth Korevaar, Amalia Karahalios, et al.
Biometrics|February 11, 2026
Repeated inclusion cluster randomized trials: a new class of designs for assessing group-level interventionsJessica Kasza, Kelsey L Grantham, Rhys Bowden, et al.
Trials|August 17, 2017
Understanding the cluster randomised crossover design: a graphical illustraton of the components of variation and a sample size tutorialSarah J Arnup, Joanne E McKenzie, Karla Hemming, et al.
Parasitology|February 2, 2013
Modelling the short- and long-term impacts of drenching frequency and targeted selective treatment on the performance of grazing lambs and the emergence of anthelmintic resistanceYan C S M Laurenson, Stephen C Bishop, Andrew B Forbes, et al.
Critical Care and Resuscitation : Journal of the Australasian Academy of Critical Care Medicine|June 2, 2018
Sample size calculations for cluster randomised crossover trials in Australian and New Zealand intensive care researchSarah J Arnup, Joanne E McKenzie, David Pilcher, et al.
BMC Medical Research Methodology|August 29, 2021
Evaluation of statistical methods used in the analysis of interrupted time series studies: a simulation studySimon L Turner, Andrew B Forbes, Amalia Karahalios, et al.
BMC Medical Research Methodology|April 14, 2022
Evaluating the performance of Bayesian and restricted maximum likelihood estimation for stepped wedge cluster randomized trials with a small number of clustersKelsey L Grantham, Jessica Kasza, Stephane Heritier, et al.
Statistics in Medicine|December 21, 2010
Confounder-adjusted estimates of the risk difference using propensity score-based weightingObioha C Ukoumunne, Elizabeth Williamson, Andrew B Forbes, et al.
International Journal of Health Geographics|February 18, 2011
The spatial distribution of esophageal and gastric cancer in Caspian region of Iran: an ecological analysis of diet and socio-economic influencesMohammadreza Mohebbi, Rory Wolfe, Damien Jolley, et al.
Statistics in Medicine|September 30, 2016
Choosing appropriate analysis methods for cluster randomised cross-over trials with a binary outcomeKaty E Morgan, Andrew B Forbes, Ruth H Keogh, et al.
Pageof 14

Showing results (51-60 of 133) with videos related to

Sort By:
Pageof 14
BMC Research Notes|January 23, 2025
Interrupted time series datasets from studies investigating the impact of interventions or exposures in public health and social science: a data noteSimon L Turner, Elizabeth Korevaar, Amalia Karahalios, et al.
Biometrics|February 11, 2026
Repeated inclusion cluster randomized trials: a new class of designs for assessing group-level interventionsJessica Kasza, Kelsey L Grantham, Rhys Bowden, et al.
Trials|August 17, 2017
Understanding the cluster randomised crossover design: a graphical illustraton of the components of variation and a sample size tutorialSarah J Arnup, Joanne E McKenzie, Karla Hemming, et al.
Parasitology|February 2, 2013
Modelling the short- and long-term impacts of drenching frequency and targeted selective treatment on the performance of grazing lambs and the emergence of anthelmintic resistanceYan C S M Laurenson, Stephen C Bishop, Andrew B Forbes, et al.
Critical Care and Resuscitation : Journal of the Australasian Academy of Critical Care Medicine|June 2, 2018
Sample size calculations for cluster randomised crossover trials in Australian and New Zealand intensive care researchSarah J Arnup, Joanne E McKenzie, David Pilcher, et al.
BMC Medical Research Methodology|August 29, 2021
Evaluation of statistical methods used in the analysis of interrupted time series studies: a simulation studySimon L Turner, Andrew B Forbes, Amalia Karahalios, et al.
BMC Medical Research Methodology|April 14, 2022
Evaluating the performance of Bayesian and restricted maximum likelihood estimation for stepped wedge cluster randomized trials with a small number of clustersKelsey L Grantham, Jessica Kasza, Stephane Heritier, et al.
Statistics in Medicine|December 21, 2010
Confounder-adjusted estimates of the risk difference using propensity score-based weightingObioha C Ukoumunne, Elizabeth Williamson, Andrew B Forbes, et al.
International Journal of Health Geographics|February 18, 2011
The spatial distribution of esophageal and gastric cancer in Caspian region of Iran: an ecological analysis of diet and socio-economic influencesMohammadreza Mohebbi, Rory Wolfe, Damien Jolley, et al.
Statistics in Medicine|September 30, 2016
Choosing appropriate analysis methods for cluster randomised cross-over trials with a binary outcomeKaty E Morgan, Andrew B Forbes, Ruth H Keogh, et al.
Pageof 14