4 papers
Statistical method for pooling categorical biomarkers from multi-center matched/nested case-control studies
Yujie Wu, Xiao Wu, Mitchell H. Gail +3
Pooled analyses that aggregate data from multiple studies are becoming increasingly common in collaborative epidemiologic research in order to increase the size and diversity of th…
A repeated measures approach to pooled and calibrated biomarker data
Abigail Sloan, Chao Cheng, Bernard Rosner +3
Participant level meta-analysis across multiple studies increases the sample size for pooled analyses, thereby improving precision in effect estimates and enabling subgroup analyse…
Spline Analysis of Biomarker Data Pooled From Multiple Matched/Nested Case-Control Studies
Yujie Wu, Mitchell H. Gail, Stephanie A. Smith-Warner +2
Pooling biomarker data across multiple studies enables researchers to get more precise estimates of the association between biomarker exposure measurements and disease risks due to…
Statistical methods for biomarker data pooled from multiple nested case-control studies
Abigail Sloan, Molin Wang
Pooling biomarker data across multiple studies allows for examination of a wider exposure range than generally possible in individual studies, evaluation of population subgroups an…