Plots show histograms of the distribution of p-values for published (i.e. significant) results for 1,000 findings, in different scenarios. Top panels show results for the Two Peaks model, and bottom ones for the Single Normal model. Left panels show results for a high-bias, low-power, low-prevalence scenario, while right ones have no bias, high power and high prevalence. Specific parameters are (A) Two Peaks, bias = 0.6, power = 20%, prevalence ~ 0.1,PPV ~ 11%(B)Two Peaks, bias = 0, power = 80%, prevalence ~ 0.9, PPV ~ 12%, (C)Single Normal, bias = 0.6, power = 0.2, prevalence ~ 0.1, PPV ~ 99% and (D)Single Normal, bias = 0, power = 0.8, prevalence ~ 0.9, PPV ~ 99%. (TIF)</p
<p>These curves show the relationship of power with the number of clusters. The points show simulate...
A p-value is the probability of observing a result as extreme or more extreme than that observed giv...
A p-value is the probability of observing a result as extreme or more extreme than that observed giv...
Each point corresponds to a simulation with 1,000 published findings. In each panel, graphs correspo...
Each point corresponds to a simulation with 5,000 published findings. True effects are defined as th...
Two hypothetical examples of P-curves show the expected distribution if (a) selection bias is presen...
A: Probability-probability plot (pp-plot) with four possible graph scenarios. B: -samples show a not...
In (A), sample size is calculated to detect the mean of the true effect sizes above the minimum of i...
It is increasingly common for experiments in biology and medicine to involve large numbers of hypoth...
It is increasingly common for experiments in biology and medicine to involve large numbers of hypoth...
These are the same results shown in Fig 2A(capped at an odds ratio of 1), and are meant to be more d...
Notes: P-curves are obtained from bootstrapped samples with observations from years 1989–1993, using...
These results are similar to those presented in Fig 2, except that the decision to publish takes the...
<p>The first row depicts the truly different samples (). The bottom row refers to the control sample...
<p>These curves depict the relationship between power and sample size per cluster across different e...
<p>These curves show the relationship of power with the number of clusters. The points show simulate...
A p-value is the probability of observing a result as extreme or more extreme than that observed giv...
A p-value is the probability of observing a result as extreme or more extreme than that observed giv...
Each point corresponds to a simulation with 1,000 published findings. In each panel, graphs correspo...
Each point corresponds to a simulation with 5,000 published findings. True effects are defined as th...
Two hypothetical examples of P-curves show the expected distribution if (a) selection bias is presen...
A: Probability-probability plot (pp-plot) with four possible graph scenarios. B: -samples show a not...
In (A), sample size is calculated to detect the mean of the true effect sizes above the minimum of i...
It is increasingly common for experiments in biology and medicine to involve large numbers of hypoth...
It is increasingly common for experiments in biology and medicine to involve large numbers of hypoth...
These are the same results shown in Fig 2A(capped at an odds ratio of 1), and are meant to be more d...
Notes: P-curves are obtained from bootstrapped samples with observations from years 1989–1993, using...
These results are similar to those presented in Fig 2, except that the decision to publish takes the...
<p>The first row depicts the truly different samples (). The bottom row refers to the control sample...
<p>These curves depict the relationship between power and sample size per cluster across different e...
<p>These curves show the relationship of power with the number of clusters. The points show simulate...
A p-value is the probability of observing a result as extreme or more extreme than that observed giv...
A p-value is the probability of observing a result as extreme or more extreme than that observed giv...