SlideShare ist ein Scribd-Unternehmen logo
1 von 8
Downloaden Sie, um offline zu lesen
1
A few comments on meta-analysis of
skewed continuous data
Doug Altman
Centre for Statistics in Medicine
University of Oxford
2
Length of intubation (hours)
Study High dose opioid Low dose opioid Significance
as reported
by authors
n Mean SD Median Range n Mean SD Median Range
Slogoff 1989 254 22.8 12.3
Enflurane 257 14.5 6.3
Halothane 253 16.8 7.2
Isoflurance 248 14.7 5.4
ANOVA
p = 0.001
Bell 1994 19 12.96 20 4.42 p = 0.0005
Cheng 1996 51 18.9 1.4 51 4.1 1.1 p < 0.02
Myles 1997 66 21.5 5.1 12.3 3.5-31.5 58 11.4 9.9 p = 0.006
Silbert 1998 42 7.0 2.1-19 38 4.0 0.5-15.5 p < 0.01
Michalopoulos
1998
72 11.6 1.3 72 7.3 0.7 p = 0.0001
Sakaida 1998 20 14.5 4.5 15 6-25.3 20 5.6 1.6 5.2 3.5-9 p < 0.05
Berry 1998 42 12.62 8.32-20.67 43 1.83 0.1-4.25 significant
Myles 2001 24 9.7 1.1-25 24 6.5 0.4-150 ?significant
3
5
Data that might be available
Combination of
 Means, SDs for raw data
 Means, SDs for log data
– (SE and CI convert simply to SD)
 Medians and centiles for raw data
– Centiles convert simply to mean and SD on log scale if assume
lognormal distribution
Combination of
6
Mixed data
An approach to mixed data:
 Assume that the data are (close to) lognormal
 Convert centiles to mean and SD of log data
– For ranges see Walter (2007)
 Combine summary statistics on raw and log scale
using method of Higgins et al (2008)
 Other approaches developed by O’Rourke but
unpublished
– Example in Brady et al (Cochrane Library, 2010)
4
6
Mixed data
An approach to mixed data:
 Assume that the data are (close to) lognormal
 Convert centiles to mean and SD of log data
– For ranges see Walter (2007)
 Combine summary statistics on raw and log scale
using method of Higgins et al (2008)
 Other approaches developed by O’Rourke but
unpublished
– Example in Brady et al (Cochrane Library, 2010)
7
References
Brady M, Kinn S, Ness V, O’Rourke K, Randhawa N, Stuart P.
Preoperative fasting for preventing perioperative complications
in children. Cochrane Database Syst Rev 2009;(4):CD005285.
Higgins JP, White IR, Anzures-Cabrera J. Meta-analysis of skewed
data: combining results reported on log-transformed or raw
scales. Stat Med 2008;27:6072-92.
Walter SD, Yao X. Effect sizes can be calculated for studies
reporting ranges for outcome variables in systematic reviews.
J Clin Epidemiol 2007;60:849-852.

Weitere ähnliche Inhalte

Was ist angesagt?

Scientific method power point slideshare
Scientific method power point   slideshareScientific method power point   slideshare
Scientific method power point slideshare
adordollz
 
2015 Delaware Talk
2015 Delaware Talk2015 Delaware Talk
2015 Delaware Talk
les411
 
Md. Rasal Hossain khan
Md. Rasal Hossain khanMd. Rasal Hossain khan
Md. Rasal Hossain khan
Rasal Khan
 
Brazendale 2015 - Equating accelerometer estimates among youth_the rosetta st...
Brazendale 2015 - Equating accelerometer estimates among youth_the rosetta st...Brazendale 2015 - Equating accelerometer estimates among youth_the rosetta st...
Brazendale 2015 - Equating accelerometer estimates among youth_the rosetta st...
Keith Brazendale
 

Was ist angesagt? (17)

EBM Journal Club - Intro and Review of Home BP Monitoring Article
EBM Journal Club - Intro and Review of Home BP Monitoring ArticleEBM Journal Club - Intro and Review of Home BP Monitoring Article
EBM Journal Club - Intro and Review of Home BP Monitoring Article
 
Scientific method power point slideshare
Scientific method power point   slideshareScientific method power point   slideshare
Scientific method power point slideshare
 
Identifying and Managing Pre-Diabetes: A systematic review of screening and i...
Identifying and Managing Pre-Diabetes: A systematic review of screening and i...Identifying and Managing Pre-Diabetes: A systematic review of screening and i...
Identifying and Managing Pre-Diabetes: A systematic review of screening and i...
 
Data driven analytics and decision making d ondrik elsevier
Data driven analytics and decision making   d ondrik elsevierData driven analytics and decision making   d ondrik elsevier
Data driven analytics and decision making d ondrik elsevier
 
Scientific Method
Scientific MethodScientific Method
Scientific Method
 
6C Skrøvseth Data-driven analytics for decision support EHiN 2014
6C Skrøvseth Data-driven analytics for decision support EHiN 20146C Skrøvseth Data-driven analytics for decision support EHiN 2014
6C Skrøvseth Data-driven analytics for decision support EHiN 2014
 
Cuadernos suma-resta-hasta-12
Cuadernos suma-resta-hasta-12Cuadernos suma-resta-hasta-12
Cuadernos suma-resta-hasta-12
 
New Methods for Analysing the Distribution of 5Q 5D Observations
New Methods for Analysing the Distribution of 5Q 5D ObservationsNew Methods for Analysing the Distribution of 5Q 5D Observations
New Methods for Analysing the Distribution of 5Q 5D Observations
 
Workshop slides (atkinson)
Workshop slides (atkinson)Workshop slides (atkinson)
Workshop slides (atkinson)
 
Koonal's Slides from the 2017 PROMs Conference
Koonal's Slides from the 2017 PROMs ConferenceKoonal's Slides from the 2017 PROMs Conference
Koonal's Slides from the 2017 PROMs Conference
 
Metaanalysis qjbc
Metaanalysis qjbcMetaanalysis qjbc
Metaanalysis qjbc
 
2015 Delaware Talk
2015 Delaware Talk2015 Delaware Talk
2015 Delaware Talk
 
Bases talk for slideshare (atkinson)
Bases talk for slideshare (atkinson)Bases talk for slideshare (atkinson)
Bases talk for slideshare (atkinson)
 
Research Presentation
Research PresentationResearch Presentation
Research Presentation
 
Md. Rasal Hossain khan
Md. Rasal Hossain khanMd. Rasal Hossain khan
Md. Rasal Hossain khan
 
Brazendale 2015 - Equating accelerometer estimates among youth_the rosetta st...
Brazendale 2015 - Equating accelerometer estimates among youth_the rosetta st...Brazendale 2015 - Equating accelerometer estimates among youth_the rosetta st...
Brazendale 2015 - Equating accelerometer estimates among youth_the rosetta st...
 
Measuring HIV stigma and discrimination in healthcare settings
Measuring HIV stigma and discrimination in healthcare settingsMeasuring HIV stigma and discrimination in healthcare settings
Measuring HIV stigma and discrimination in healthcare settings
 

Andere mochten auch

2010 smg training_cardiff_day2_session2_dias
2010 smg training_cardiff_day2_session2_dias2010 smg training_cardiff_day2_session2_dias
2010 smg training_cardiff_day2_session2_dias
rgveroniki
 
2010 smg training_cardiff_day2_session1_salanti
2010 smg training_cardiff_day2_session1_salanti2010 smg training_cardiff_day2_session1_salanti
2010 smg training_cardiff_day2_session1_salanti
rgveroniki
 
2010 smg training_cardiff_day1_session1 (1 of 3)_mckenzie
2010 smg training_cardiff_day1_session1 (1 of 3)_mckenzie2010 smg training_cardiff_day1_session1 (1 of 3)_mckenzie
2010 smg training_cardiff_day1_session1 (1 of 3)_mckenzie
rgveroniki
 
day1(2010 smg training_cardiff)_session2b (1of 2) lewis
day1(2010 smg training_cardiff)_session2b (1of 2) lewisday1(2010 smg training_cardiff)_session2b (1of 2) lewis
day1(2010 smg training_cardiff)_session2b (1of 2) lewis
rgveroniki
 
2010 smg training_cardiff_day1_session2a (1 of 1) tudur-smith
2010 smg training_cardiff_day1_session2a (1 of 1) tudur-smith2010 smg training_cardiff_day1_session2a (1 of 1) tudur-smith
2010 smg training_cardiff_day1_session2a (1 of 1) tudur-smith
rgveroniki
 
2010 smg training_cardiff_day1_session3_higgins
2010 smg training_cardiff_day1_session3_higgins2010 smg training_cardiff_day1_session3_higgins
2010 smg training_cardiff_day1_session3_higgins
rgveroniki
 
2010 smg training_cardiff_day2_session3_dwan_altman
2010 smg training_cardiff_day2_session3_dwan_altman2010 smg training_cardiff_day2_session3_dwan_altman
2010 smg training_cardiff_day2_session3_dwan_altman
rgveroniki
 
2010 smg training_cardiff_day1_session2b (2 of 2) herbison
2010 smg training_cardiff_day1_session2b (2 of 2) herbison2010 smg training_cardiff_day1_session2b (2 of 2) herbison
2010 smg training_cardiff_day1_session2b (2 of 2) herbison
rgveroniki
 
2010 smg training_cardiff_day1_session4_harbord
2010 smg training_cardiff_day1_session4_harbord2010 smg training_cardiff_day1_session4_harbord
2010 smg training_cardiff_day1_session4_harbord
rgveroniki
 
2010 smg training_cardiff_day2_session4_sterne
2010 smg training_cardiff_day2_session4_sterne2010 smg training_cardiff_day2_session4_sterne
2010 smg training_cardiff_day2_session4_sterne
rgveroniki
 

Andere mochten auch (10)

2010 smg training_cardiff_day2_session2_dias
2010 smg training_cardiff_day2_session2_dias2010 smg training_cardiff_day2_session2_dias
2010 smg training_cardiff_day2_session2_dias
 
2010 smg training_cardiff_day2_session1_salanti
2010 smg training_cardiff_day2_session1_salanti2010 smg training_cardiff_day2_session1_salanti
2010 smg training_cardiff_day2_session1_salanti
 
2010 smg training_cardiff_day1_session1 (1 of 3)_mckenzie
2010 smg training_cardiff_day1_session1 (1 of 3)_mckenzie2010 smg training_cardiff_day1_session1 (1 of 3)_mckenzie
2010 smg training_cardiff_day1_session1 (1 of 3)_mckenzie
 
day1(2010 smg training_cardiff)_session2b (1of 2) lewis
day1(2010 smg training_cardiff)_session2b (1of 2) lewisday1(2010 smg training_cardiff)_session2b (1of 2) lewis
day1(2010 smg training_cardiff)_session2b (1of 2) lewis
 
2010 smg training_cardiff_day1_session2a (1 of 1) tudur-smith
2010 smg training_cardiff_day1_session2a (1 of 1) tudur-smith2010 smg training_cardiff_day1_session2a (1 of 1) tudur-smith
2010 smg training_cardiff_day1_session2a (1 of 1) tudur-smith
 
2010 smg training_cardiff_day1_session3_higgins
2010 smg training_cardiff_day1_session3_higgins2010 smg training_cardiff_day1_session3_higgins
2010 smg training_cardiff_day1_session3_higgins
 
2010 smg training_cardiff_day2_session3_dwan_altman
2010 smg training_cardiff_day2_session3_dwan_altman2010 smg training_cardiff_day2_session3_dwan_altman
2010 smg training_cardiff_day2_session3_dwan_altman
 
2010 smg training_cardiff_day1_session2b (2 of 2) herbison
2010 smg training_cardiff_day1_session2b (2 of 2) herbison2010 smg training_cardiff_day1_session2b (2 of 2) herbison
2010 smg training_cardiff_day1_session2b (2 of 2) herbison
 
2010 smg training_cardiff_day1_session4_harbord
2010 smg training_cardiff_day1_session4_harbord2010 smg training_cardiff_day1_session4_harbord
2010 smg training_cardiff_day1_session4_harbord
 
2010 smg training_cardiff_day2_session4_sterne
2010 smg training_cardiff_day2_session4_sterne2010 smg training_cardiff_day2_session4_sterne
2010 smg training_cardiff_day2_session4_sterne
 

Ähnlich wie 2010 smg training_cardiff_day1_session1(2 of 3) altman

Critical appraisal of meta-analysis
Critical appraisal of meta-analysisCritical appraisal of meta-analysis
Critical appraisal of meta-analysis
Samir Haffar
 
Innovative Sample Size Methods For Clinical Trials
Innovative Sample Size Methods For Clinical Trials Innovative Sample Size Methods For Clinical Trials
Innovative Sample Size Methods For Clinical Trials
nQuery
 
Robust Methods for Health-related Quality-of-life Assessment
Robust Methods for Health-related Quality-of-life AssessmentRobust Methods for Health-related Quality-of-life Assessment
Robust Methods for Health-related Quality-of-life Assessment
dylanturner22
 
Running head DATA ANALYSIS1DATA ANALYSIS 7Dat.docx
Running head DATA ANALYSIS1DATA ANALYSIS 7Dat.docxRunning head DATA ANALYSIS1DATA ANALYSIS 7Dat.docx
Running head DATA ANALYSIS1DATA ANALYSIS 7Dat.docx
healdkathaleen
 

Ähnlich wie 2010 smg training_cardiff_day1_session1(2 of 3) altman (20)

2019 Triangle Machine Learning Day - Machine Learning from De-Identified Code...
2019 Triangle Machine Learning Day - Machine Learning from De-Identified Code...2019 Triangle Machine Learning Day - Machine Learning from De-Identified Code...
2019 Triangle Machine Learning Day - Machine Learning from De-Identified Code...
 
Regional variation in health care system performance
Regional variation in health care system performance Regional variation in health care system performance
Regional variation in health care system performance
 
Redhyte: Towards a Self-diagnosing, Self-correcting, and Helpful Analytic Pla...
Redhyte: Towards a Self-diagnosing, Self-correcting, and Helpful Analytic Pla...Redhyte: Towards a Self-diagnosing, Self-correcting, and Helpful Analytic Pla...
Redhyte: Towards a Self-diagnosing, Self-correcting, and Helpful Analytic Pla...
 
Bibliometric measures to demonstrate impact
Bibliometric measures to demonstrate impactBibliometric measures to demonstrate impact
Bibliometric measures to demonstrate impact
 
A.Muenzenmeyer_AACC_2016
A.Muenzenmeyer_AACC_2016A.Muenzenmeyer_AACC_2016
A.Muenzenmeyer_AACC_2016
 
Critical appraisal of meta-analysis
Critical appraisal of meta-analysisCritical appraisal of meta-analysis
Critical appraisal of meta-analysis
 
Intro to Biostat. ppt
Intro to Biostat. pptIntro to Biostat. ppt
Intro to Biostat. ppt
 
Critical appraisal of a journal article
Critical appraisal of a journal articleCritical appraisal of a journal article
Critical appraisal of a journal article
 
Gattas chest and beyond sin feb 2013
Gattas chest and beyond sin feb 2013Gattas chest and beyond sin feb 2013
Gattas chest and beyond sin feb 2013
 
Slas talk 2016
Slas talk 2016Slas talk 2016
Slas talk 2016
 
Innovative Sample Size Methods For Clinical Trials
Innovative Sample Size Methods For Clinical Trials Innovative Sample Size Methods For Clinical Trials
Innovative Sample Size Methods For Clinical Trials
 
Robust Methods for Health-related Quality-of-life Assessment
Robust Methods for Health-related Quality-of-life AssessmentRobust Methods for Health-related Quality-of-life Assessment
Robust Methods for Health-related Quality-of-life Assessment
 
Running head DATA ANALYSIS1DATA ANALYSIS 7Dat.docx
Running head DATA ANALYSIS1DATA ANALYSIS 7Dat.docxRunning head DATA ANALYSIS1DATA ANALYSIS 7Dat.docx
Running head DATA ANALYSIS1DATA ANALYSIS 7Dat.docx
 
Rough set based decision tree for identifying vulnerable and food insecure ho...
Rough set based decision tree for identifying vulnerable and food insecure ho...Rough set based decision tree for identifying vulnerable and food insecure ho...
Rough set based decision tree for identifying vulnerable and food insecure ho...
 
Cereal fibre and hypertension: could it be the new salt?
Cereal fibre and hypertension: could it be the new salt?Cereal fibre and hypertension: could it be the new salt?
Cereal fibre and hypertension: could it be the new salt?
 
Ct lecture 13. more on linear regression analysis
Ct lecture 13. more on linear regression analysisCt lecture 13. more on linear regression analysis
Ct lecture 13. more on linear regression analysis
 
Roche_open_science_NIOO_KNAW_workshop_NL
Roche_open_science_NIOO_KNAW_workshop_NLRoche_open_science_NIOO_KNAW_workshop_NL
Roche_open_science_NIOO_KNAW_workshop_NL
 
Biostatistics general introduction central tendency
Biostatistics general introduction central tendencyBiostatistics general introduction central tendency
Biostatistics general introduction central tendency
 
MAD-APE: the Novel Method for Raw Data Processing for both PA and SB, Harri S...
MAD-APE: the Novel Method for Raw Data Processing for both PA and SB, Harri S...MAD-APE: the Novel Method for Raw Data Processing for both PA and SB, Harri S...
MAD-APE: the Novel Method for Raw Data Processing for both PA and SB, Harri S...
 
Meaningful (meta)data at scale: removing barriers to precision medicine research
Meaningful (meta)data at scale: removing barriers to precision medicine researchMeaningful (meta)data at scale: removing barriers to precision medicine research
Meaningful (meta)data at scale: removing barriers to precision medicine research
 

Kürzlich hochgeladen

Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
ZurliaSoop
 
Salient Features of India constitution especially power and functions
Salient Features of India constitution especially power and functionsSalient Features of India constitution especially power and functions
Salient Features of India constitution especially power and functions
KarakKing
 

Kürzlich hochgeladen (20)

Micro-Scholarship, What it is, How can it help me.pdf
Micro-Scholarship, What it is, How can it help me.pdfMicro-Scholarship, What it is, How can it help me.pdf
Micro-Scholarship, What it is, How can it help me.pdf
 
FSB Advising Checklist - Orientation 2024
FSB Advising Checklist - Orientation 2024FSB Advising Checklist - Orientation 2024
FSB Advising Checklist - Orientation 2024
 
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
 
How to Give a Domain for a Field in Odoo 17
How to Give a Domain for a Field in Odoo 17How to Give a Domain for a Field in Odoo 17
How to Give a Domain for a Field in Odoo 17
 
Fostering Friendships - Enhancing Social Bonds in the Classroom
Fostering Friendships - Enhancing Social Bonds  in the ClassroomFostering Friendships - Enhancing Social Bonds  in the Classroom
Fostering Friendships - Enhancing Social Bonds in the Classroom
 
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptxHMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
 
How to Manage Global Discount in Odoo 17 POS
How to Manage Global Discount in Odoo 17 POSHow to Manage Global Discount in Odoo 17 POS
How to Manage Global Discount in Odoo 17 POS
 
Unit 3 Emotional Intelligence and Spiritual Intelligence.pdf
Unit 3 Emotional Intelligence and Spiritual Intelligence.pdfUnit 3 Emotional Intelligence and Spiritual Intelligence.pdf
Unit 3 Emotional Intelligence and Spiritual Intelligence.pdf
 
Basic Civil Engineering first year Notes- Chapter 4 Building.pptx
Basic Civil Engineering first year Notes- Chapter 4 Building.pptxBasic Civil Engineering first year Notes- Chapter 4 Building.pptx
Basic Civil Engineering first year Notes- Chapter 4 Building.pptx
 
Holdier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdfHoldier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdf
 
Food safety_Challenges food safety laboratories_.pdf
Food safety_Challenges food safety laboratories_.pdfFood safety_Challenges food safety laboratories_.pdf
Food safety_Challenges food safety laboratories_.pdf
 
On National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan FellowsOn National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan Fellows
 
80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...
80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...
80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...
 
Salient Features of India constitution especially power and functions
Salient Features of India constitution especially power and functionsSalient Features of India constitution especially power and functions
Salient Features of India constitution especially power and functions
 
Google Gemini An AI Revolution in Education.pptx
Google Gemini An AI Revolution in Education.pptxGoogle Gemini An AI Revolution in Education.pptx
Google Gemini An AI Revolution in Education.pptx
 
Exploring_the_Narrative_Style_of_Amitav_Ghoshs_Gun_Island.pptx
Exploring_the_Narrative_Style_of_Amitav_Ghoshs_Gun_Island.pptxExploring_the_Narrative_Style_of_Amitav_Ghoshs_Gun_Island.pptx
Exploring_the_Narrative_Style_of_Amitav_Ghoshs_Gun_Island.pptx
 
Python Notes for mca i year students osmania university.docx
Python Notes for mca i year students osmania university.docxPython Notes for mca i year students osmania university.docx
Python Notes for mca i year students osmania university.docx
 
Towards a code of practice for AI in AT.pptx
Towards a code of practice for AI in AT.pptxTowards a code of practice for AI in AT.pptx
Towards a code of practice for AI in AT.pptx
 
Mehran University Newsletter Vol-X, Issue-I, 2024
Mehran University Newsletter Vol-X, Issue-I, 2024Mehran University Newsletter Vol-X, Issue-I, 2024
Mehran University Newsletter Vol-X, Issue-I, 2024
 
On_Translating_a_Tamil_Poem_by_A_K_Ramanujan.pptx
On_Translating_a_Tamil_Poem_by_A_K_Ramanujan.pptxOn_Translating_a_Tamil_Poem_by_A_K_Ramanujan.pptx
On_Translating_a_Tamil_Poem_by_A_K_Ramanujan.pptx
 

2010 smg training_cardiff_day1_session1(2 of 3) altman

  • 1. 1 A few comments on meta-analysis of skewed continuous data Doug Altman Centre for Statistics in Medicine University of Oxford
  • 2. 2 Length of intubation (hours) Study High dose opioid Low dose opioid Significance as reported by authors n Mean SD Median Range n Mean SD Median Range Slogoff 1989 254 22.8 12.3 Enflurane 257 14.5 6.3 Halothane 253 16.8 7.2 Isoflurance 248 14.7 5.4 ANOVA p = 0.001 Bell 1994 19 12.96 20 4.42 p = 0.0005 Cheng 1996 51 18.9 1.4 51 4.1 1.1 p < 0.02 Myles 1997 66 21.5 5.1 12.3 3.5-31.5 58 11.4 9.9 p = 0.006 Silbert 1998 42 7.0 2.1-19 38 4.0 0.5-15.5 p < 0.01 Michalopoulos 1998 72 11.6 1.3 72 7.3 0.7 p = 0.0001 Sakaida 1998 20 14.5 4.5 15 6-25.3 20 5.6 1.6 5.2 3.5-9 p < 0.05 Berry 1998 42 12.62 8.32-20.67 43 1.83 0.1-4.25 significant Myles 2001 24 9.7 1.1-25 24 6.5 0.4-150 ?significant
  • 3. 3
  • 4. 5 Data that might be available Combination of  Means, SDs for raw data  Means, SDs for log data – (SE and CI convert simply to SD)  Medians and centiles for raw data – Centiles convert simply to mean and SD on log scale if assume lognormal distribution Combination of
  • 5. 6 Mixed data An approach to mixed data:  Assume that the data are (close to) lognormal  Convert centiles to mean and SD of log data – For ranges see Walter (2007)  Combine summary statistics on raw and log scale using method of Higgins et al (2008)  Other approaches developed by O’Rourke but unpublished – Example in Brady et al (Cochrane Library, 2010)
  • 6. 4
  • 7. 6 Mixed data An approach to mixed data:  Assume that the data are (close to) lognormal  Convert centiles to mean and SD of log data – For ranges see Walter (2007)  Combine summary statistics on raw and log scale using method of Higgins et al (2008)  Other approaches developed by O’Rourke but unpublished – Example in Brady et al (Cochrane Library, 2010)
  • 8. 7 References Brady M, Kinn S, Ness V, O’Rourke K, Randhawa N, Stuart P. Preoperative fasting for preventing perioperative complications in children. Cochrane Database Syst Rev 2009;(4):CD005285. Higgins JP, White IR, Anzures-Cabrera J. Meta-analysis of skewed data: combining results reported on log-transformed or raw scales. Stat Med 2008;27:6072-92. Walter SD, Yao X. Effect sizes can be calculated for studies reporting ranges for outcome variables in systematic reviews. J Clin Epidemiol 2007;60:849-852.