A key factor in reducing Research Waste is to make the scientific process more efficient by taking previous studies into account in prioritizing, designing and interpreting new research. However, conventional methods for meta-analysis do not allow that study series size and meta-analysis timing depend on previous results in the study series. Hence, our methods do not permit that promising initial results are more likely to develop into (large)
Meta-analysis is one of a number of scientific approaches for accumulating knowledge in a research d...
[Note the January 2023 update: it contains improved versions of the Introduction Figure 1, 2 and 3 (...
Meta-analysis is a method for summarizing statistical findings across multiple research studies. It...
A key factor in reducing Research Waste is to make the scientific process more efficient by taking p...
Meta-research has spurred two opposing perspectives on science: one treats individual studies and st...
P-values and confidence intervals depend very strictly on the experimental design. For meta-analysis...
An estimated 85 % of global health research investment is wasted; a total of one hundred billion US ...
In 2009, a paper estimated that 85% of our global health research investment is wasted each year. It...
ABSTRACT r Meta-analysis does not solve all the problems encountered in qualitative research reviews...
Meta-analyses play an important role in cumulative science by combining information across multiple ...
Meta-research is research about research. Meta-research may not be as click-worthy as a meta-pug-a p...
In its short history meta-analysis has been the object of both high praise and pointed criticism. Th...
Systematic reviews are widely accepted as a ‘gold standard’ in evidence synthesis and the meta-analy...
The importance of statistical power is under recognized both in single study research and meta-analy...
The importance of statistical power is under recognized both in single study research and meta-analy...
Meta-analysis is one of a number of scientific approaches for accumulating knowledge in a research d...
[Note the January 2023 update: it contains improved versions of the Introduction Figure 1, 2 and 3 (...
Meta-analysis is a method for summarizing statistical findings across multiple research studies. It...
A key factor in reducing Research Waste is to make the scientific process more efficient by taking p...
Meta-research has spurred two opposing perspectives on science: one treats individual studies and st...
P-values and confidence intervals depend very strictly on the experimental design. For meta-analysis...
An estimated 85 % of global health research investment is wasted; a total of one hundred billion US ...
In 2009, a paper estimated that 85% of our global health research investment is wasted each year. It...
ABSTRACT r Meta-analysis does not solve all the problems encountered in qualitative research reviews...
Meta-analyses play an important role in cumulative science by combining information across multiple ...
Meta-research is research about research. Meta-research may not be as click-worthy as a meta-pug-a p...
In its short history meta-analysis has been the object of both high praise and pointed criticism. Th...
Systematic reviews are widely accepted as a ‘gold standard’ in evidence synthesis and the meta-analy...
The importance of statistical power is under recognized both in single study research and meta-analy...
The importance of statistical power is under recognized both in single study research and meta-analy...
Meta-analysis is one of a number of scientific approaches for accumulating knowledge in a research d...
[Note the January 2023 update: it contains improved versions of the Introduction Figure 1, 2 and 3 (...
Meta-analysis is a method for summarizing statistical findings across multiple research studies. It...