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The relationship of statistical power and sign error with s..:

Evan M. Adams (6704657) ; Julia Gulka (11587266) ; Kathryn A. Williams (11719276)
https://figshare.com/articles/figure/The_relationship_of_statistical_power_and_sign_error_with_sample_size_in_the_continuous_meta-analysis_power_analysis_of_curtailment_studies_/17034463. , 2021

Link: https://doi.org/10.1371/journal.pone.0256382.g006

RT Journal
T1 <Title>The relationship of statistical power and sign error with sample size in the continuous meta-analysis power analysis of curtailment studies</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonian:oai:figshare.com:article_17034463&Exemplar=1&LAN=DE
				
A1 Evan M. Adams (6704657)
A1 Julia Gulka (11587266)
A1 Kathryn A. Williams (11719276)
YR 2021
K1 Cancer
K1 Science Policy
K1 Biological Sciences not elsewhere classified
K1 overall sample size
K1 found strong evidence
K1 compared using aic
K1 reduce bat mortality
K1 operational minimization tactic
K1 likely without accounting
K1 effectively reduce fatalities
K1 differing curtailment regimes
K1 terrestrial wind farms
K1 div >< p
K1 different treatment categories
K1 explore possible linear
K1 reducing bat fatalities
K1 lower wind speeds
K1 low wind conditions
K1 turbine curtailment experiments
K1 designed curtailment studies
K1 detect fatality reductions
K1 power analyses showed
K1 linear model represented
K1 wind farms
K1 operational curtailment
K1 fatality reductions
K1 bat fatality
K1 linear model
K1 likely due
K1 detect effects
K1 bat activity
K1 linear relationships
K1 turbine operations
K1 model simplicity
K1 united states
K1 turbine cut
K1 treatment studies
K1 substantial support
K1 specific studies
K1 smaller increases
K1 response ratio
K1 possible non
K1 g
K1 examined data
K1 easily detectable
K1 curtailment cut
K1 current dataset
K1 continuous variable
K1 categorical variable
K1 best fit
JF https://figshare.com/articles/figure/The_relationship_of_statistical_power_and_sign_error_with_sample_size_in_the_continuous_meta-analysis_power_analysis_of_curtailment_studies_/17034463
LK http://dx.doi.org/https://doi.org/10.1371/journal.pone.0256382.g006
DO https://doi.org/10.1371/journal.pone.0256382.g006
SF ELIB - SuUB Bremen

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