RT @METRICStanford: True and false positive rates for different criteria of evaluating statistical evidence from clinical trials by @DonVan…
RT @METRICStanford: True and false positive rates for different criteria of evaluating statistical evidence from clinical trials by @DonVan…
RT @METRICStanford: True and false positive rates for different criteria of evaluating statistical evidence from clinical trials by @DonVan…
True and false positive rates for different criteria of evaluating statistical evidence from clinical trials https://t.co/rZdTeKRJQ2 via @DonVanRaven & Prof #JohnIoannidis
RT @cochranemthds: True & false positive rates for different criteria of evaluating statistical evidence from clinical trials - Don van Rav…
RT @METRICStanford: True and false positive rates for different criteria of evaluating statistical evidence from clinical trials by @DonVan…
RT @eturnermd1: Ever wonder about the FDA’s practice of relying on 2 statistically significant trials as the basis for approving a drug? Th…
RT @eturnermd1: Ever wonder about the FDA’s practice of relying on 2 statistically significant trials as the basis for approving a drug? Th…
RT @METRICStanford: True and false positive rates for different criteria of evaluating statistical evidence from clinical trials by @DonVan…
RT @eturnermd1: Ever wonder about the FDA’s practice of relying on 2 statistically significant trials as the basis for approving a drug? Th…
RT @eturnermd1: Ever wonder about the FDA’s practice of relying on 2 statistically significant trials as the basis for approving a drug? Th…
RT @METRICStanford: True and false positive rates for different criteria of evaluating statistical evidence from clinical trials by @DonVan…
RT @METRICStanford: True and false positive rates for different criteria of evaluating statistical evidence from clinical trials by @DonVan…
RT @METRICStanford: True and false positive rates for different criteria of evaluating statistical evidence from clinical trials by @DonVan…
RT @eturnermd1: Ever wonder about the FDA’s practice of relying on 2 statistically significant trials as the basis for approving a drug? Th…
RT @METRICStanford: True and false positive rates for different criteria of evaluating statistical evidence from clinical trials by @DonVan…
@GilbreathDustin One for your inner geek... https://t.co/VeqXnbcHTB
RT @METRICStanford: True and false positive rates for different criteria of evaluating statistical evidence from clinical trials by @DonVan…
RT @eturnermd1: Ever wonder about the FDA’s practice of relying on 2 statistically significant trials as the basis for approving a drug? Th…
RT @METRICStanford: True and false positive rates for different criteria of evaluating statistical evidence from clinical trials by @DonVan…
RT @METRICStanford: True and false positive rates for different criteria of evaluating statistical evidence from clinical trials by @DonVan…
RT @METRICStanford: True and false positive rates for different criteria of evaluating statistical evidence from clinical trials by @DonVan…
RT @eturnermd1: Ever wonder about the FDA’s practice of relying on 2 statistically significant trials as the basis for approving a drug? Th…
RT @cochranemthds: True & false positive rates for different criteria of evaluating statistical evidence from clinical trials - Don van Rav…
RT @METRICStanford: True and false positive rates for different criteria of evaluating statistical evidence from clinical trials by @DonVan…
RT @eturnermd1: Ever wonder about the FDA’s practice of relying on 2 statistically significant trials as the basis for approving a drug? Th…
RT @METRICStanford: True and false positive rates for different criteria of evaluating statistical evidence from clinical trials by @DonVan…
RT @eturnermd1: Ever wonder about the FDA’s practice of relying on 2 statistically significant trials as the basis for approving a drug? Th…
RT @eturnermd1: Ever wonder about the FDA’s practice of relying on 2 statistically significant trials as the basis for approving a drug? Th…
Ever wonder about the FDA’s practice of relying on 2 statistically significant trials as the basis for approving a drug? This paper compares that method with others such as meta-analysis +/- confidence intervals and Bayes factors
RT @METRICStanford: True and false positive rates for different criteria of evaluating statistical evidence from clinical trials by @DonVan…
True and false positive rates for different criteria of evaluating statistical evidence from clinical trials by @DonVanRaven and John Ioannidis @METRICStanford in BMC Medical Research Methodology https://t.co/hfJ9vgiwNj
RT @cochranemthds: True & false positive rates for different criteria of evaluating statistical evidence from clinical trials - Don van Rav…
True & false positive rates for different criteria of evaluating statistical evidence from clinical trials - Don van Ravenzwaaij & John PA Ioannidis via BMC MRM: https://t.co/hb1234bupX
RT @uranus_2: ただ、ベイズ因子の方が良さげな時があって、それは試験数が多い、サンプルサイズが少ない、臨床的意味のある効果が小さくない、特にゼロでない効果の数が比較的多い場合。True and false positive rates for different c…
RT @uranus_2: 臨床試験でベイズ因子を使ってもメタ分析での信頼区間を使ってもp値を使っても、真陽性率・偽陽性率は大して変わらない。 https://t.co/IofgaSLWzI
ただ、ベイズ因子の方が良さげな時があって、それは試験数が多い、サンプルサイズが少ない、臨床的意味のある効果が小さくない、特にゼロでない効果の数が比較的多い場合。True and false positive rates for different criteria of evaluating statistical evidence from … https://t.co/IofgaSLWzI
臨床試験でベイズ因子を使ってもメタ分析での信頼区間を使ってもp値を使っても、真陽性率・偽陽性率は大して変わらない。 https://t.co/IofgaSLWzI