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R and Python Data Science

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    Part 11: Pooling MD and precalculculated effect sizes in random effects meta-analysis
    17:50

    Part 11: Pooling MD and precalculculated effect sizes in random effects meta-analysis

     311  views
    Part 5: Effect size mesures for binary outcomes (Meta-anylsis in R)
    35:32

    Part 5: Effect size mesures for binary outcomes (Meta-anylsis in R)

     78  views
    Part 6: Pooling effects sizes in R (Fixed effect meta-analysis)
    24:22

    Part 6: Pooling effects sizes in R (Fixed effect meta-analysis)

     40  views
    Part 9: Random Effects Meta-analysis
    15:07

    Part 9: Random Effects Meta-analysis

     37  views
    Part 7: Pooling Mean difference(Fixed effects meta-analysis in R)
    24:16

    Part 7: Pooling Mean difference(Fixed effects meta-analysis in R)

     28  views
    Part 8: Pooling SMD from scratch (Meta-analysis in R)
    20:30

    Part 8: Pooling SMD from scratch (Meta-analysis in R)

     24  views
    Part 10: Random effect meta-analysis(poolin SMD) in R
    18:28

    Part 10: Random effect meta-analysis(poolin SMD) in R

     24  views
    Part 4: Standardized mean difference
    21:01

    Part 4: Standardized mean difference

     25  views
    Part 3: Effect sizes in control group designs
    19:14

    Part 3: Effect sizes in control group designs

     16  views
    Part 2: Meta-analysis in R
    15:52

    Part 2: Meta-analysis in R

     21  views
    Part 10: Random effect meta-analysis(poolin SMD) in R
    18:28

    Part 10: Random effect meta-analysis(poolin SMD) in R

     19  views
    Part I: Introduction to Meta-analysis in R
    12:14

    Part I: Introduction to Meta-analysis in R

     48  views 1 comment
    Part 9: Random Effects Meta-analysis
    15:37

    Part 9: Random Effects Meta-analysis

     15  views