October 2021 Archives by author

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Starting: Fri Oct 1 04:40:08 CEST 2021
Ending: Sat Oct 30 21:09:57 CEST 2021
Messages: 221

• [R-meta] Bivariate generalized linear mixed model with {metafor}   Arthur Albuquerque
• [R-meta] Bivariate generalized linear mixed model with {metafor}   Arthur Albuquerque
• [R-meta] Bivariate generalized linear mixed model with {metafor}   Arthur Albuquerque
• [R-meta] Pooling studies with binary and continuous outcomes   Blackman, Graham
• [R-meta] convert rma.mv() output to data.frame   Milani Chaloupka
• [R-meta] convert rma.mv() output to data.frame   Milani Chaloupka
• [R-meta] forest plot details   Norman DAURELLE
• [R-meta] forest plot details   Norman DAURELLE
• [R-meta] forest plot details   Norman DAURELLE
• [R-meta] Fwd:   Michael Dewey
• [R-meta] convert rma.mv() output to data.frame   Michael Dewey
• [R-meta] publication bias   Michael Dewey
• [R-meta] Time as indicator vs time as meaning   Michael Dewey
• [R-meta] Time as indicator vs time as meaning   Michael Dewey
• [R-meta] equivalent random formulas but different results in rma.mv   Michael Dewey
• [R-meta] Bivariate generalized linear mixed model with {metafor}   Michael Dewey
• [R-meta] online seminar series   Michael Dewey
• [R-meta] Pooling studies with binary and continuous outcomes   Michael Dewey
• [R-meta] convert rma.mv() output to data.frame   Simon Harmel
• [R-meta] convert rma.mv() output to data.frame   Simon Harmel
• [R-meta] convert rma.mv() output to data.frame   Simon Harmel
• [R-meta] Coding Longitudinal Studies   Danielle Hiam
• [R-meta] Fwd: Need help in installing the R package "metap"   Im
• [R-meta] Fwd:   Im
• [R-meta] Fwd:   Im
• [R-meta] Multilevel meta-analysis of pre-post design studies without control groups   Ivan Jukic
• [R-meta] I2 interpretation for Multilevel meta-analysis with moderators   Ivan Jukic
• [R-meta] I2 interpretation for Multilevel meta-analysis with moderators   Ivan Jukic
• [R-meta] I2 interpretation for Multilevel meta-analysis with moderators   Ivan Jukic
• [R-meta] I2 interpretation for Multilevel meta-analysis with moderators   Ivan Jukic
• [R-meta] Multivariate meta regression and predict for robust estimates   Ivan Jukic
• [R-meta] Multivariate meta regression and predict for robust estimates   Ivan Jukic
• [R-meta] Multivariate meta regression and predict for robust estimates   Ivan Jukic
• [R-meta] Multivariate meta regression and predict for robust estimates   Ivan Jukic
• [R-meta] Multivariate meta regression and predict for robust estimates   Ivan Jukic
• [R-meta] Does clubSandwich::coef_test() handle crossed random-effects?   Farzad Keyhan
• [R-meta] Does clubSandwich::coef_test() handle crossed random-effects?   Farzad Keyhan
• [R-meta] Does clubSandwich::coef_test() handle crossed random-effects?   Farzad Keyhan
• [R-meta] Does clubSandwich::coef_test() handle crossed random-effects?   Farzad Keyhan
• [R-meta] Does clubSandwich::coef_test() handle crossed random-effects?   Farzad Keyhan
• [R-meta] Does clubSandwich::coef_test() handle crossed random-effects?   Farzad Keyhan
• [R-meta] Does clubSandwich::coef_test() handle crossed random-effects?   Farzad Keyhan
• [R-meta] Does clubSandwich::coef_test() handle crossed random-effects?   Farzad Keyhan
• [R-meta] Does clubSandwich::coef_test() handle crossed random-effects?   Farzad Keyhan
• [R-meta] Response Ratios in nested studies   Farzad Keyhan
• [R-meta] Response Ratios in nested studies   Farzad Keyhan
• [R-meta] Response Ratios in nested studies   Farzad Keyhan
• [R-meta] Response Ratios in nested studies   Farzad Keyhan
• [R-meta] Response Ratios in nested studies   Farzad Keyhan
• [R-meta] Response Ratios in nested studies   Farzad Keyhan
• [R-meta] Response Ratios in nested studies   Farzad Keyhan
• [R-meta] Response Ratios in nested studies   Farzad Keyhan
• [R-meta] meta-analysis of mean differences with only the difference and its SD   Martin Lobo
• [R-meta] meta-analysis of mean differences with only the difference and its SD   Martin Lobo
• [R-meta] leftcols in forest plot from metaprop objet   Martin Lobo
• [R-meta] I cannot plot the sensitivity through the random effect model   Martin Lobo
• [R-meta] leftcols in forest plot from metaprop objet   Martin Lobo
• [R-meta] I cannot plot the sensitivity through the random effect model   Martin Lobo
• [R-meta] see how much each study contributes to heterogenicity   Martin Lobo
• [R-meta] foreign characters in R   Teresa Luther
• [R-meta] WG: foreign characters in R   Teresa Luther
• [R-meta] foreign characters in R   Teresa Luther
• [R-meta] publication bias   Teresa Luther
• [R-meta] Meta-analyzing studies that failed to account for their nested data   Timothy MacKenzie
• [R-meta] Meta-analyzing studies that failed to account for their nested data   Timothy MacKenzie
• [R-meta] Meta-analyzing studies that failed to account for their nested data   Timothy MacKenzie
• [R-meta] Meta-analyzing studies that failed to account for their nested data   Timothy MacKenzie
• [R-meta] Meta-analyzing studies that failed to account for their nested data   Timothy MacKenzie
• [R-meta] Meta-analyzing studies that failed to account for their nested data   Timothy MacKenzie
• [R-meta] equivalent random formulas but different results in rma.mv   Timothy MacKenzie
• [R-meta] Best choice of effect size   Luke Martinez
• [R-meta] Best choice of effect size   Luke Martinez
• [R-meta] Best choice of effect size   Luke Martinez
• [R-meta] Best choice of effect size   Luke Martinez
• [R-meta] correlated outcomes   Luke Martinez
• [R-meta] correlated outcomes   Luke Martinez
• [R-meta] Guidance regarding balance in fixed- and random-effects   Luke Martinez
• [R-meta] Guidance regarding balance in fixed- and random-effects   Luke Martinez
• [R-meta] Guidance regarding balance in fixed- and random-effects   Luke Martinez
• [R-meta] Guidance regarding balance in fixed- and random-effects   Luke Martinez
• [R-meta] Best choice of effect size   Luke Martinez
• [R-meta] mean-variance relationships introduces additional heterogeneity, how?   Luke Martinez
• [R-meta] mean-variance relationships introduces additional heterogeneity, how?   Luke Martinez
• [R-meta] mean-variance relationships introduces additional heterogeneity, how?   Luke Martinez
• [R-meta] mean-variance relationships introduces additional heterogeneity, how?   Luke Martinez
• [R-meta] mean-variance relationships introduces additional heterogeneity, how?   Luke Martinez
• [R-meta] mean-variance relationships introduces additional heterogeneity, how?   Luke Martinez
• [R-meta] correlated outcomes   Reza Norouzian
• [R-meta] Coding Longitudinal Studies   Reza Norouzian
• [R-meta] Forest code error in multivariate analysis Metafor   Reza Norouzian
• [R-meta] Forest code error in multivariate analysis Metafor   Reza Norouzian
• [R-meta] Response Ratios in nested studies   Reza Norouzian
• [R-meta] mixed-effects and moderators   Reza Norouzian
• [R-meta] Response Ratios in nested studies   Reza Norouzian
• [R-meta] Response Ratios in nested studies   Reza Norouzian
• [R-meta] online seminar series   Reza Norouzian
• [R-meta] online seminar series   Reza Norouzian
• [R-meta] mixed-effects and moderators   Reza Norouzian
• [R-meta] Multivariate meta regression and predict for robust estimates   Reza Norouzian
• [R-meta] Multivariate meta regression and predict for robust estimates   Reza Norouzian
• [R-meta] Multivariate meta regression and predict for robust estimates   Reza Norouzian
• [R-meta] Multivariate meta regression and predict for robust estimates   Reza Norouzian
• [R-meta] mixed-effects and moderators   Fred Oswald
• [R-meta] mixed-effects and moderators   Fred Oswald
• [R-meta] mixed-effects and moderators   Fred Oswald
• [R-meta] mixed-effects and moderators   Fred Oswald
• [R-meta] online seminar series   Danka Puric
• [R-meta] online seminar series   Danka Puric
• [R-meta] Meta-analyzing studies that failed to account for their nested data   James Pustejovsky
• [R-meta] Best choice of effect size   James Pustejovsky
• [R-meta] Meta-analyzing studies that failed to account for their nested data   James Pustejovsky
• [R-meta] Does clubSandwich::coef_test() handle crossed random-effects?   James Pustejovsky
• [R-meta] Best choice of effect size   James Pustejovsky
• [R-meta] Does clubSandwich::coef_test() handle crossed random-effects?   James Pustejovsky
• [R-meta] Does clubSandwich::coef_test() handle crossed random-effects?   James Pustejovsky
• [R-meta] Does clubSandwich::coef_test() handle crossed random-effects?   James Pustejovsky
• [R-meta] Best choice of effect size   James Pustejovsky
• [R-meta] Best choice of effect size   James Pustejovsky
• [R-meta] Does clubSandwich::coef_test() handle crossed random-effects?   James Pustejovsky
• [R-meta] Does clubSandwich::coef_test() handle crossed random-effects?   James Pustejovsky
• [R-meta] Meta-analyzing studies that failed to account for their nested data   James Pustejovsky
• [R-meta] Response Ratios in nested studies   James Pustejovsky
• [R-meta] Response Ratios in nested studies   James Pustejovsky
• [R-meta] Response Ratios in nested studies   James Pustejovsky
• [R-meta] Response Ratios in nested studies   James Pustejovsky
• [R-meta] Response Ratios in nested studies   James Pustejovsky
• [R-meta] Response Ratios in nested studies   James Pustejovsky
• [R-meta] online seminar series   James Pustejovsky
• [R-meta] online seminar series   James Pustejovsky
• [R-meta] online seminar series   James Pustejovsky
• [R-meta] mean-variance relationships introduces additional heterogeneity, how?   James Pustejovsky
• [R-meta] mean-variance relationships introduces additional heterogeneity, how?   James Pustejovsky
• [R-meta] mean-variance relationships introduces additional heterogeneity, how?   James Pustejovsky
• [R-meta] mean-variance relationships introduces additional heterogeneity, how?   James Pustejovsky
• [R-meta] mean-variance relationships introduces additional heterogeneity, how?   James Pustejovsky
• [R-meta] A continuous moderator whose max can't be determined   Stefanou Revesz
• [R-meta] Time as indicator vs time as meaning   Stefanou Revesz
• [R-meta] Time as indicator vs time as meaning   Stefanou Revesz
• [R-meta] Time as indicator vs time as meaning   Stefanou Revesz
• [R-meta] Time as indicator vs time as meaning   Stefanou Revesz
• [R-meta] Time as indicator vs time as meaning   Stefanou Revesz
• [R-meta] Time as indicator vs time as meaning   Stefanou Revesz
• [R-meta] Time as indicator vs time as meaning   Stefanou Revesz
• [R-meta] Time as indicator vs time as meaning   Stefanou Revesz
• [R-meta] Time as indicator vs time as meaning   Stefanou Revesz
• [R-meta] Time as indicator vs time as meaning   Stefanou Revesz
• [R-meta] Time as indicator vs time as meaning   Stefanou Revesz
• [R-meta] rma.mv: why some var components change but others don't across 2 models   Stefanou Revesz
• [R-meta] rma.mv: why some var components change but others don't across 2 models   Stefanou Revesz
• [R-meta] rma.mv: why some var components change but others don't across 2 models   Stefanou Revesz
• [R-meta] rma.mv: why some var components change but others don't across 2 models   Stefanou Revesz
• [R-meta] rma.mv: why some var components change but others don't across 2 models   Stefanou Revesz
• [R-meta] Some general reflections on the R-sig-meta-analysis mailing list   Dr. Gerta Rücker
• [R-meta] leftcols in forest plot from metaprop objet   Dr. Gerta Rücker
• [R-meta] I cannot plot the sensitivity through the random effect model   Dr. Gerta Rücker
• [R-meta] see how much each study contributes to heterogenicity   Dr. Gerta Rücker
• [R-meta] Forest code error in multivariate analysis Metafor   Ayesha Sadozai
• [R-meta] Forest code error in multivariate analysis Metafor   Ayesha Sadozai
• [R-meta] meta-analysis of mean differences with only the difference and its SD   Guido Schwarzer
• [R-meta] Fwd:   Guido Schwarzer
• [R-meta] Peto random effect?   Guido Schwarzer
• [R-meta] see how much each study contributes to heterogenicity   Guido Schwarzer
• [R-meta] New major version of R package meta available on CRAN   Guido Schwarzer
• [R-meta] New major version of R package netmeta available on CRAN   Guido Schwarzer
• [R-meta] error for meta-regression with continuous moderator   Guido Schwarzer
• [R-meta] error for meta-regression with continuous moderator   Guido Schwarzer
• [R-meta] how to interpreat a significant moderator variable but in-significant F test   Martin Schwichow
• [R-meta] Formula SD in metafor package   Emmelie Simoens
• [R-meta] Equivalence testing for subgroup analysis in MA - TOSTER package   Lukasz Stasielowicz
• [R-meta] R-sig-meta-analysis Digest, Vol 53, Issue 80   Lukasz Stasielowicz
• [R-meta] Pooling studies with binary and continuous outcomes   Lukasz Stasielowicz
• [R-meta] Extracting pooled rma.mv model summary statistics after multiple imputation   Thomas Swanton
• [R-meta] Predictive interval in MA with less than 10 studies   Philippe Tadger
• [R-meta] foreign characters in R   Philippe Tadger
• [R-meta] foreign characters in R   Philippe Tadger
• [R-meta] Peto random effect?   Philippe Tadger
• [R-meta] Peto random effect?   Philippe Tadger
• [R-meta] error for meta-regression with continuous moderator   Philippe Tadger
• [R-meta] Equivalence testing for subgroup analysis in MA - TOSTER package   Jorge Teixeira
• [R-meta] Re-re: Meta-analyzing studies that failed to account for their nested data   Mikkel Vembye
• [R-meta] Meta-analyzing studies that failed to account for their nested data   Mikkel Vembye
• [R-meta] Meta-analyzing studies that failed to account for their nested data   Mikkel Vembye
• [R-meta] Meta-analyzing studies that failed to account for their nested data   Mikkel Vembye
• [R-meta] Meta-analyzing studies that failed to account for their nested data   Mikkel Vembye
• [R-meta] how to interpreat a significant moderator variable but in-significant F test   Viechtbauer, Wolfgang (SP)
• [R-meta] Does clubSandwich::coef_test() handle crossed random-effects?   Viechtbauer, Wolfgang (SP)
• [R-meta] convert rma.mv() output to data.frame   Viechtbauer, Wolfgang (SP)
• [R-meta] convert rma.mv() output to data.frame   Viechtbauer, Wolfgang (SP)
• [R-meta] Time as indicator vs time as meaning   Viechtbauer, Wolfgang (SP)
• [R-meta] Time as indicator vs time as meaning   Viechtbauer, Wolfgang (SP)
• [R-meta] Time as indicator vs time as meaning   Viechtbauer, Wolfgang (SP)
• [R-meta] Time as indicator vs time as meaning   Viechtbauer, Wolfgang (SP)
• [R-meta] Time as indicator vs time as meaning   Viechtbauer, Wolfgang (SP)
• [R-meta] Some general reflections on the R-sig-meta-analysis mailing list   Viechtbauer, Wolfgang (SP)
• [R-meta] Time as indicator vs time as meaning   Viechtbauer, Wolfgang (SP)
• [R-meta] I2 interpretation for Multilevel meta-analysis with moderators   Viechtbauer, Wolfgang (SP)
• [R-meta] Some general reflections on the R-sig-meta-analysis mailing list   Viechtbauer, Wolfgang (SP)
• [R-meta] Time as indicator vs time as meaning   Viechtbauer, Wolfgang (SP)
• [R-meta] Time as indicator vs time as meaning   Viechtbauer, Wolfgang (SP)
• [R-meta] Time as indicator vs time as meaning   Viechtbauer, Wolfgang (SP)
• [R-meta] I2 interpretation for Multilevel meta-analysis with moderators   Viechtbauer, Wolfgang (SP)
• [R-meta] I2 interpretation for Multilevel meta-analysis with moderators   Viechtbauer, Wolfgang (SP)
• [R-meta] Guidance regarding balance in fixed- and random-effects   Viechtbauer, Wolfgang (SP)
• [R-meta] An r-sig-meta-analysis topic list / FAQ   Viechtbauer, Wolfgang (SP)
• [R-meta] Formula SD in metafor package   Viechtbauer, Wolfgang (SP)
• [R-meta] Guidance regarding balance in fixed- and random-effects   Viechtbauer, Wolfgang (SP)
• [R-meta] Guidance regarding balance in fixed- and random-effects   Viechtbauer, Wolfgang (SP)
• [R-meta] Extracting pooled rma.mv model summary statistics after multiple imputation   Viechtbauer, Wolfgang (SP)
• [R-meta] Forest code error in multivariate analysis Metafor   Viechtbauer, Wolfgang (SP)
• [R-meta] forest plot details   Viechtbauer, Wolfgang (SP)
• [R-meta] forest plot details   Viechtbauer, Wolfgang (SP)
• [R-meta] Bivariate generalized linear mixed model with {metafor}   Viechtbauer, Wolfgang (SP)
• [R-meta] Bivariate generalized linear mixed model with {metafor}   Viechtbauer, Wolfgang (SP)
• [R-meta] online seminar series   Viechtbauer, Wolfgang (SP)
• [R-meta] Multivariate meta regression and predict for robust estimates   Viechtbauer, Wolfgang (SP)
• [R-meta] rma.mv: why some var components change but others don't across 2 models   Viechtbauer, Wolfgang (SP)
• [R-meta] rma.mv: why some var components change but others don't across 2 models   Viechtbauer, Wolfgang (SP)
• [R-meta] rma.mv: why some var components change but others don't across 2 models   Viechtbauer, Wolfgang (SP)
• [R-meta] error for meta-regression with continuous moderator   david detullio
• [R-meta] Fwd: Need help in installing the R package "metap"   iists m at iii at g oii dewey at myze at at co at uk
• [R-meta] online seminar series   reshambt1

Last message date: Sat Oct 30 21:09:57 CEST 2021
Archived on: Sat Oct 30 21:26:40 CEST 2021

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