Does Increasing Sample Size Inevitably Lead to Statistical Significance? Insights From a Monte Carlo Simulation Study for Medical Research Design. [PDF]
Li M +8 more
europepmc +1 more source
Evolution‐guided yeast complementation reveals functional differences in human PSPH variants
Ancient genomes can help guide which human genetic variants are tested experimentally. This study applies that idea to PSPH, a gene involved in serine biosynthesis, and uses high‐throughput yeast complementation to compare variant function. The findings reveal measurable differences among selected alleles and illustrate the value of evolution‐guided ...
Mauricio Campa‐Álvarez +6 more
wiley +1 more source
Bayesian Sample Size Calculations for External Validation Studies of Risk Prediction Models. [PDF]
Sadatsafavi M +4 more
europepmc +1 more source
Sample size calculation practices in original research articles of the Journal of Conservative Dentistry and Endodontics (2021-2025). [PDF]
Sánchez-Tito M.
europepmc +1 more source
Estimating causal effects of rare treatments on binary outcomes: addressing sample size requirements and bias correction. [PDF]
Sanim AI, Rahman MS, Latif MAHM.
europepmc +1 more source
Explainable IAOA-CNN-CBAM-SVR model for predicting air consumption of auxiliary nozzles with limited sample size. [PDF]
Shen M +6 more
europepmc +1 more source
Impact of sample size of birds processed per pen in research settings for performance and quality data. [PDF]
Maynard CJ +3 more
europepmc +1 more source
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Nick Martin and the Genetics of Depression: Sample Size, Sample Size, Sample Size
Twin Research and Human Genetics, 2020AbstractNick Martin is a pioneer in recognizing the need for large sample size to study the complex, heterogeneous and polygenic disorders of common mental disorders. In the predigital era, questionnaires were mailed to thousands of twin pairs around Australia. Always quick to adopt new technology, Nick’s studies progressed to phone interviews and then
Byrne, Enda M. +5 more
openaire +6 more sources
Before undertaking a research comparison, investigators may wish to estimate the sample sizes needed to assure that the research is feasible and is worth the effort and expense. Such calculations require several decisions by the researchers: (1) the acceptable level of the type I error (P value), (2) the desired power of the test, (3) the difference ...
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