## Cablivi (Caplacizumab-yhdp Injection)- FDA

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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