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Janet L Peacock

Showing results (1-10 of 134) with videos related to

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BMC Medical Research Methodology|July 22, 2017
Binomial outcomes in dataset with some clusters of size two: can the dependence of twins be accounted for? A simulation study comparing the reliability of statistical methods based on a dataset of preterm infantsOdile Sauzet, Janet L Peacock
Journal of Epidemiology and Community Health|March 16, 2005
Population ideals and sample realities--why we still need access to comprehensive information about populationsGeraldine Barrett, Janet L Peacock
Journal of Public Health (Oxford, England)|March 15, 2006
Emergency call work-load, deprivation and population density: an investigation into ambulance services across EnglandPhilip J Peacock, Janet L Peacock
Systematic Reviews|June 13, 2014
Dichotomisation of a continuous outcome and effect on meta-analyses: illustration of the distributional approach using the outcome birthweightMercy Ofuya, Odile Sauzet, Janet L Peacock
BMC Medical Research Methodology|April 24, 2015
Dichotomisation using a distributional approach when the outcome is skewedOdile Sauzet, Mercy Ofuya, Janet L Peacock
BMJ Open|January 14, 2016
Models of antenatal care to reduce and prevent preterm birth: a systematic review and meta-analysisCristina Fernandez Turienzo, Jane Sandall, Janet L Peacock
Epilepsia|October 30, 2009
Seasonality as a risk factor for sudden unexpected death in epilepsy: a study in a large cohortGail S Bell, Janet L Peacock, Josemir W Sander
Birth (Berkeley, Calif.)|December 13, 2005
Measuring pregnancy planningGeraldine Barrett, Janet L Peacock, Diane Morof, et al.
Clinical Epidemiology|April 29, 2026
An Introduction to Competing Risks in Epidemiology [Response to Letter]Henrik Toft Sørensen, Erzsébet Horváth-Puhó, Janet L Peacock
Clinical Epidemiology|March 25, 2026
An Introduction to Competing Risks in EpidemiologyHenrik Toft Sørensen, Erzsébet Horváth-Puhó, Janet L Peacock
Pageof 14

Showing results (1-10 of 134) with videos related to

Sort By:
Pageof 14
BMC Medical Research Methodology|July 22, 2017
Binomial outcomes in dataset with some clusters of size two: can the dependence of twins be accounted for? A simulation study comparing the reliability of statistical methods based on a dataset of preterm infantsOdile Sauzet, Janet L Peacock
Journal of Epidemiology and Community Health|March 16, 2005
Population ideals and sample realities--why we still need access to comprehensive information about populationsGeraldine Barrett, Janet L Peacock
Journal of Public Health (Oxford, England)|March 15, 2006
Emergency call work-load, deprivation and population density: an investigation into ambulance services across EnglandPhilip J Peacock, Janet L Peacock
Systematic Reviews|June 13, 2014
Dichotomisation of a continuous outcome and effect on meta-analyses: illustration of the distributional approach using the outcome birthweightMercy Ofuya, Odile Sauzet, Janet L Peacock
BMC Medical Research Methodology|April 24, 2015
Dichotomisation using a distributional approach when the outcome is skewedOdile Sauzet, Mercy Ofuya, Janet L Peacock
BMJ Open|January 14, 2016
Models of antenatal care to reduce and prevent preterm birth: a systematic review and meta-analysisCristina Fernandez Turienzo, Jane Sandall, Janet L Peacock
Epilepsia|October 30, 2009
Seasonality as a risk factor for sudden unexpected death in epilepsy: a study in a large cohortGail S Bell, Janet L Peacock, Josemir W Sander
Birth (Berkeley, Calif.)|December 13, 2005
Measuring pregnancy planningGeraldine Barrett, Janet L Peacock, Diane Morof, et al.
Clinical Epidemiology|April 29, 2026
An Introduction to Competing Risks in Epidemiology [Response to Letter]Henrik Toft Sørensen, Erzsébet Horváth-Puhó, Janet L Peacock
Clinical Epidemiology|March 25, 2026
An Introduction to Competing Risks in EpidemiologyHenrik Toft Sørensen, Erzsébet Horváth-Puhó, Janet L Peacock
Pageof 14