However, the best way(s) to promote cycling is still unclear. In an effort to answer this question, we identified 39 interventions designed to promote cycling, with a total sample of 46,102 participants. Random effects meta-analysis estimated a small but statistically significant effect of ...
A random effects meta-analysis for self-esteem and gaming disorder was conducted. Subgroup analysis investigating heterogeneity was conducted for: culture, age, measures of self-esteem and gaming disorder. Of 2496 records identified, 37 were included in the review. The quality assessment indicated a...
Structural metadata defines metadata relationships. It is especially useful in data warehousing and machine learning, where the hierarchy of relationships influences system processes. Structural metadata is rarely useful to us humans, but it can helpoptimize your file management strategyand elevate efficienc...
focusing solely on the moderating effect of NC on the BDA- FP relationship. However, these studies overlook the dynamic nature of the business environment. This study, possibly the first meta-analysis in this field, is based on the DCV theory. It explores the boundary conditions of this theory...
13. mvmeta and mvmeta_make mvmeta performs maximum likelihood, restricted maximum likelihood, or method-of-moments estimation of random-effects multivariate meta-analysis models. mvmeta_make facilitates the preparation of summary datasets from more detailed data. 14. ipdforest ipdforest is a post...
It is normally a random generated number, how it is used can be specific to the site, but a good example is maintaining a logged-in status for a user between pages. user_country digitalmarketinginstitute.com 1 year Holds information on user country _hjFirstSeen Hotjar Ltd .digitalmarketing...
For the quantitative data, random effect meta-analyses were performed where we had sufficient data assessing the same outcome [31]. Pooling was performed on the outcomes measured immediately following the intervention. As we used a random-effects model for the meta-analyses, the weightings for eac...
The general idea is to take a trained diffusion model, which already knows how to associate text with video, and equip it with a set of video processing tools. The training here can be performed on unlabeled data. The algorithm can eat random videos from the web and learn realistic motion...
meta-analysis using themeta sempackage (Cheung,2014) andmsemtoolspackages (Conigrave,2019). We used random-effects meta-analyses to calculate pooled effects for each mechanism and each outcome, then conducted moderation analyses to assess whether interventions were homogenous within mechanism and ...
Random effects meta-analyses were performed and forest plots were produced for each of the three operationalisations of education – continuous, dichotomous and categorical, for outcomes that had sufficient studies to conduct a meta-analysis (pre-determined as a minimum of five studies), however no...