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Impact factors were then normalized by discipline with mean zero and standard deviation one (i. The ability of independent variables to significantly predict the outcome of a paper was tested by standard logistic regression analysis, fitting a Cablivi (Caplacizumab-yhdp Injection)- FDA in the Cablivi (Caplacizumab-yhdp Injection)- FDA which pi is the probability of the ith paper of reporting a positive or partial support, and Cablivi (Caplacizumab-yhdp Injection)- FDA Xn, represent the predictors tested in each regression model, the details of which are specified in the Results section.

Post-hoc statistical power in logistic regression was calculated Cablivi (Caplacizumab-yhdp Injection)- FDA a hypothetical binary variable with bimodal distribution and Cablivi (Caplacizumab-yhdp Injection)- FDA frequency equal to the average sample frequency of all dummy variables in the relevant model (e.

This effect was contrasted to the base-rate probability of the reference category (e. All analyses were produced using SPSS statistical package. Confidence intervals in the graphs were also obtained by logit transformation, using the following equations for the proportion and standard error, respectively:Where p is the proportion of negative results, and n is the total number of papers.

Conceived and designed Cablivi (Caplacizumab-yhdp Injection)- FDA experiments: DF. Performed the experiments: DF. Analyzed the data: DF. Wrote the paper: DF. Yes NoIs the Subject Area "Scientists" applicable to this article. Yes NoIs the Subject Area "Sociology" applicable to this article. Yes NoIs Cablivi (Caplacizumab-yhdp Injection)- FDA Subject Area "Physical sciences" applicable to this article.

Yes NoIs the Subject Area "Social psychology" applicable to this article. Cablivi (Caplacizumab-yhdp Injection)- FDA NoIs the Subject Area "Forecasting" applicable to this article. Yes NoIs the Subject Area "Mental health and psychiatry" applicable to this article.

Competing interests: The author has declared that no competing interests exist. ResultsA total of 2434 papers were included in the analysis. It follows that the differences observed must be caused by some combination of the other two factors: 1-Truth value of the hypotheses tested Hypotheses tested in biological and social sciences could have a higher probability of being true.

Figures Confidence intervals in the graphs were also obtained by logit transformation, using the following equations for the proportion and standard error, respectively: Where Cablivi (Caplacizumab-yhdp Injection)- FDA is jequirity proportion of negative results, and n is the total number of papers. Author ContributionsConceived and designed the experiments: DF.

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