Statistical Considerations in Meta-Analysis

Comprehensive literature review and statistical considerations for microarray meta-analysis

With the rapid advances of various high-throughput technologies, generation of '-omics' data is commonplace in almost every biomedical field. Effective data management and analytical approaches are essential to fully decipher the biological knowledge contained in the tremendous amount of experimental data. Meta-analysis, a set of statistical tools for combining multiple studies of a related hyp...

Comprehensive literature review and statistical considerations for GWAS meta-analysis

Over the last decade, genome-wide association studies (GWAS) have become the standard tool for gene discovery in human disease research. While debate continues about how to get the most out of these studies and on occasion about how much value these studies really provide, it is clear that many of the strongest results have come from large-scale mega-consortia and/or meta-analyses that combine ...

Statistical Considerations in Meta-analysis of Qtl Reports: Application to Dairy Cattle

There is a clear need to make optimal use of the ever increasing number of QTL mapping studies, especially for traits of economic importance. Meta-analysis of published information provides an extremely useful and cost effective approach. Originally developed for applications in the medical and social sciences, some papers have recently been published specifically for QTL studies in livestock s...

Considerations in the statistical analysis of hemodialysis patient survival.

The association of hemodialysis dosage with patient survival is controversial. Here, we tested the hypothesis that methods for survival analysis may influence conclusions regarding dialysis dosage and mortality. We analyzed all-cause mortality by proportional hazards and accelerated failure time regression models in a cohort of incident hemodialysis patients who were followed for 9 yr. Both mod...

Statistical Considerations in Bulk Sampling