David Hoaglin to Algorithms
This is a "connection" page, showing publications David Hoaglin has written about Algorithms.
Connection Strength
0.894
-
Kulinskaya E, Hoaglin DC. On the Q statistic with constant weights in meta-analysis of binary outcomes. BMC Med Res Methodol. 2023 06 21; 23(1):146.
Score: 0.580
-
Bakbergenuly I, Hoaglin DC, Kulinskaya E. On the Q statistic with constant weights for standardized mean difference. Br J Math Stat Psychol. 2022 11; 75(3):444-465.
Score: 0.132
-
Kulinskaya E, Hoaglin DC, Bakbergenuly I, Newman J. A Q statistic with constant weights for assessing heterogeneity in meta-analysis. Res Synth Methods. 2021 Nov; 12(6):711-730.
Score: 0.127
-
Bakbergenuly I, Hoaglin DC, Kulinskaya E. Methods for estimating between-study variance and overall effect in meta-analysis of odds ratios. Res Synth Methods. 2020 May; 11(3):426-442.
Score: 0.029
-
Bakbergenuly I, Hoaglin DC, Kulinskaya E. Pitfalls of using the risk ratio in meta-analysis. Res Synth Methods. 2019 Sep; 10(3):398-419.
Score: 0.027