Search research articles
Contact Us
Filters
Showing results (1-10 of 32) with videos related to
Page
of 4
Sort By:
The Australian & New Zealand Journal of Obstetrics & Gynaecology
|
March 12, 2010
The trouble with clinical indicators: Intact lower genital tract following childbirth in NSW Hospitals, 2003-2005
Peter A Baghurst
The Australian & New Zealand Journal of Obstetrics & Gynaecology
|
November 2, 2012
The case for retaining severe perineal tears as an indicator of the quality of obstetric care
Peter A Baghurst
Diabetes Technology & Therapeutics
|
February 5, 2011
Calculating the mean amplitude of glycemic excursion from continuous glucose monitoring data: an automated algorithm
Peter A Baghurst
Paediatric and Perinatal Epidemiology
|
August 14, 2012
Risk models for benchmarking severe perineal tears during vaginal childbirth: a cross-sectional study of public hospitals in South Australia, 2002-08
Peter A Baghurst, Georgia Antoniou
Intensive Care Medicine
|
April 23, 2008
The application of risk-adjusted control charts using the Paediatric Index of Mortality 2 for monitoring paediatric intensive care performance in Australia and New Zealand
Peter A Baghurst, Lynda Norton, Anthony Slater, et al.
Pediatric Endocrinology Reviews : PER
|
September 30, 2010
Assessing glycemic variation: why, when and how?
Fergus J Cameron, Peter A Baghurst, David Rodbard
Journal of Diabetes Science and Technology
|
December 7, 2010
The minimum frequency of glucose measurements from which glycemic variation can be consistently assessed
Peter A Baghurst, David Rodbard, Fergus J Cameron
Calcified Tissue International
|
May 24, 2007
The difference between hazard and risk in the relation between bone density and fracture
B E Christopher Nordin, Peter A Baghurst, Andrew Metcalfe
Current Diabetes Reviews
|
March 11, 2010
Measuring glycaemic variation
Fergus J Cameron, Susan M Donath, Peter A Baghurst
Journal of Diabetes Science and Technology
|
May 31, 2014
The Minimum Duration of Sensor Data From Which Glycemic Variability Can Be Consistently Assessed
Orla M Neylon, Peter A Baghurst, Fergus J Cameron
Page
of 4
Search research articles
Search
Showing results (1-10 of 32) with videos related to
Sort By:
Page
of 4
The Australian & New Zealand Journal of Obstetrics & Gynaecology
|
March 12, 2010
The trouble with clinical indicators: Intact lower genital tract following childbirth in NSW Hospitals, 2003-2005
Peter A Baghurst
The Australian & New Zealand Journal of Obstetrics & Gynaecology
|
November 2, 2012
The case for retaining severe perineal tears as an indicator of the quality of obstetric care
Peter A Baghurst
Diabetes Technology & Therapeutics
|
February 5, 2011
Calculating the mean amplitude of glycemic excursion from continuous glucose monitoring data: an automated algorithm
Peter A Baghurst
Paediatric and Perinatal Epidemiology
|
August 14, 2012
Risk models for benchmarking severe perineal tears during vaginal childbirth: a cross-sectional study of public hospitals in South Australia, 2002-08
Peter A Baghurst, Georgia Antoniou
Intensive Care Medicine
|
April 23, 2008
The application of risk-adjusted control charts using the Paediatric Index of Mortality 2 for monitoring paediatric intensive care performance in Australia and New Zealand
Peter A Baghurst, Lynda Norton, Anthony Slater, et al.
Pediatric Endocrinology Reviews : PER
|
September 30, 2010
Assessing glycemic variation: why, when and how?
Fergus J Cameron, Peter A Baghurst, David Rodbard
Journal of Diabetes Science and Technology
|
December 7, 2010
The minimum frequency of glucose measurements from which glycemic variation can be consistently assessed
Peter A Baghurst, David Rodbard, Fergus J Cameron
Calcified Tissue International
|
May 24, 2007
The difference between hazard and risk in the relation between bone density and fracture
B E Christopher Nordin, Peter A Baghurst, Andrew Metcalfe
Current Diabetes Reviews
|
March 11, 2010
Measuring glycaemic variation
Fergus J Cameron, Susan M Donath, Peter A Baghurst
Journal of Diabetes Science and Technology
|
May 31, 2014
The Minimum Duration of Sensor Data From Which Glycemic Variability Can Be Consistently Assessed
Orla M Neylon, Peter A Baghurst, Fergus J Cameron
Page
of 4