PMC:7572125 / 35345-36549 JSONTXT

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    2_test

    {"project":"2_test","denotations":[{"id":"33073769-26943900-27525634","span":{"begin":189,"end":193},"obj":"26943900"},{"id":"33073769-21541692-26862730","span":{"begin":1005,"end":1009},"obj":"21541692"}],"text":"We performed a meta-analysis using a random-effects model, where possible, to combine each of the effects described above as pre-specified in the confirmatory analysis plan (Phelps et al., 2016). To provide a standardized measure of the effect, a common effect size was calculated for each effect from the original and replication studies. Cohen’s d is the standardized difference between two means using the pooled sample standard deviation, while the effect size Glass’ delta is the standardized difference between two means using the standard deviation of only the control group. Glass’ delta was used when the variance between the control and treatment conditions were not equal in the original or replication study experiments. The estimate of the effect size of one study, as well as the associated uncertainty (i.e. confidence interval), compared to the effect size of the other study provides one approach to compare the original and replication results (Errington et al., 2014; Valentine et al., 2011). Importantly, the width of the confidence interval (CI) for each study is a reflection of not only the confidence level (e.g. 95%), but also variability of the sample (e.g. SD) and sample size."}

    MyTest

    {"project":"MyTest","denotations":[{"id":"33073769-26943900-27525634","span":{"begin":189,"end":193},"obj":"26943900"},{"id":"33073769-21541692-26862730","span":{"begin":1005,"end":1009},"obj":"21541692"}],"namespaces":[{"prefix":"_base","uri":"https://www.uniprot.org/uniprot/testbase"},{"prefix":"UniProtKB","uri":"https://www.uniprot.org/uniprot/"},{"prefix":"uniprot","uri":"https://www.uniprot.org/uniprotkb/"}],"text":"We performed a meta-analysis using a random-effects model, where possible, to combine each of the effects described above as pre-specified in the confirmatory analysis plan (Phelps et al., 2016). To provide a standardized measure of the effect, a common effect size was calculated for each effect from the original and replication studies. Cohen’s d is the standardized difference between two means using the pooled sample standard deviation, while the effect size Glass’ delta is the standardized difference between two means using the standard deviation of only the control group. Glass’ delta was used when the variance between the control and treatment conditions were not equal in the original or replication study experiments. The estimate of the effect size of one study, as well as the associated uncertainty (i.e. confidence interval), compared to the effect size of the other study provides one approach to compare the original and replication results (Errington et al., 2014; Valentine et al., 2011). Importantly, the width of the confidence interval (CI) for each study is a reflection of not only the confidence level (e.g. 95%), but also variability of the sample (e.g. SD) and sample size."}