Statistical tests and graphical methods have been developed for this purpose. In this paper, two statistical tests for the detection of bias in meta-analysis were investigated in a simulation study. Binary outcome data, which are very common in medical applications, were considered and relative ...
Based on these trials, we outline the gaps in statistical reporting in the published papers, and provide recommendations to minimize the gaps. The recommendations, and the awareness they raise are a helpful addition to the efforts the research community is facing today in combating reproducibility ...
The applied statistician often encounters the need to compare two or more groups with respect to more than one outcome or response. Several options are generally available, including reducing the dimension of the problem by averaging or summarizing the outcomes, using Bonferroni or other adjustments ...
This decision is commonly guided by a statistical test for interaction. However, with binary outcomes, different effect measures yield different interaction tests. For example, the UK Hip trial explored the impact of ultrasound of infants with suspected hip dysplasia on the occurrence of subsequent ...
Clinical research often involves continuous outcome measures, such as blood cholesterol, that are amenable to statistical techniques of analysis based on the mean, such as the t -test or multiple linear regression. Clinical interest, however, frequently focuses on the proportion of subjects who fall...
We rely on different estimation methods to address prospective problems of statistical inference, due to non-random selection of these constitutional rules. The findings are consistent with our theoretical priors: presidential regimes induce ... T Persson,G Tabellini,FA Alesina,... 被引量: 80发表:...
The performance of the suggested algorithm in the first test series shows an improved exploitation phase as convergence to the local optimal point is reached in the earliest iterations as shown in Figure 7. The experimental statistical outcome in Table 3 clearly shows that the mean value for all...
Statistical Methods for the Analysis of Two-Arm Non-inferiority Trials with Binary Outcomes The aim of this contribution is to give an overview of approaches to testing for non-inferiority of one out of two binomial distributions as compared to th... S Wellek - 《Biometrical Journal》 被引量...
In general, the more variables there are in X the harder the statistical problem becomes, and unless you have a lot of meaningful treatment variation it will be very hard to estimate the final model (and CausalForestDML can fit a much more flexible model than LinearDML, which is good if ...
1. Do the binary outcome variable and any binary covariates need to be set up as binomial(0.5, 1)? 2. I currently have vardist("time") = ordinal((0 1 3 4 5):(0 0.1 0.2 0.3 0.4)) even though there are six time points. I meant to skip the third time point...