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Ian R White

Showing results (11-20 of 423) with videos related to

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Research Synthesis Methods|September 3, 2019
The dark side of the force: Multiplicity issues in network meta-analysis and how to address themOrestis Efthimiou, Ian R White
Biometrical Journal. Biometrische Zeitschrift|September 14, 2018
Author's response: When should meta-analysis avoid making hidden normality assumptions?Dan Jackson, Ian R White
Research Synthesis Methods|April 17, 2019
Dealing with missing outcome data in meta-analysisDimitris Mavridis, Ian R White
BMC Medical Research Methodology|May 3, 2005
Assessing subgroup effects with binary data: can the use of different effect measures lead to different conclusions?Ian R White, Diana Elbourne
Contact Dermatitis|July 27, 2021
Reply to further response: Comment on MDBGN/DBDCB, the European baseline series, and EU legislation-AgainCarola Lidén, Ian R White
International Journal of Epidemiology|July 30, 2005
The effect of measurement error in risk factors that change over time in cohort studies: do simple methods overcorrect for 'regression dilution'?Chris Frost, Ian R White
Biometrical Journal. Biometrische Zeitschrift|August 1, 2018
When should meta-analysis avoid making hidden normality assumptions?Dan Jackson, Ian R White
Statistics in Medicine|September 16, 2010
Bias and efficiency of multiple imputation compared with complete-case analysis for missing covariate valuesIan R White, John B Carlin
Statistical Methods in Medical Research|September 21, 2016
Multiple imputation by chained equations for systematically and sporadically missing multilevel dataMatthieu Resche-Rigon, Ian R White
Statistics in Medicine|April 11, 2003
Choice of test for comparing two groups, with particular application to skewed outcomesIan R White, Simon G Thompson
Pageof 43

Showing results (11-20 of 423) with videos related to

Sort By:
Pageof 43
Research Synthesis Methods|September 3, 2019
The dark side of the force: Multiplicity issues in network meta-analysis and how to address themOrestis Efthimiou, Ian R White
Biometrical Journal. Biometrische Zeitschrift|September 14, 2018
Author's response: When should meta-analysis avoid making hidden normality assumptions?Dan Jackson, Ian R White
Research Synthesis Methods|April 17, 2019
Dealing with missing outcome data in meta-analysisDimitris Mavridis, Ian R White
BMC Medical Research Methodology|May 3, 2005
Assessing subgroup effects with binary data: can the use of different effect measures lead to different conclusions?Ian R White, Diana Elbourne
Contact Dermatitis|July 27, 2021
Reply to further response: Comment on MDBGN/DBDCB, the European baseline series, and EU legislation-AgainCarola Lidén, Ian R White
International Journal of Epidemiology|July 30, 2005
The effect of measurement error in risk factors that change over time in cohort studies: do simple methods overcorrect for 'regression dilution'?Chris Frost, Ian R White
Biometrical Journal. Biometrische Zeitschrift|August 1, 2018
When should meta-analysis avoid making hidden normality assumptions?Dan Jackson, Ian R White
Statistics in Medicine|September 16, 2010
Bias and efficiency of multiple imputation compared with complete-case analysis for missing covariate valuesIan R White, John B Carlin
Statistical Methods in Medical Research|September 21, 2016
Multiple imputation by chained equations for systematically and sporadically missing multilevel dataMatthieu Resche-Rigon, Ian R White
Statistics in Medicine|April 11, 2003
Choice of test for comparing two groups, with particular application to skewed outcomesIan R White, Simon G Thompson
Pageof 43