Biostatistics: a Methodology for the Health Sciences
By R. Driver. 2005
1,233 citations recorded by the source corpus.
Subfields: Genetics, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/1de9cd47eee980f79aae618d94d1dd43e6805544
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Genetics
- Cliff H. Koger
- Krishna N. Reddy
- David W. Baker
- Alan S. Go
- Sorin Draghici
- R. P. Martins
- Purvesh Khatri
- David R. Shaw
In Statistics and Probability
- Cliff H. Koger
- Krishna N. Reddy
- David W. Baker
- Alan S. Go
- Sorin Draghici
- R. P. Martins
- Purvesh Khatri
- David R. Shaw
Citations in the corpus
- Wavelet analysis of hyperspectral reflectance data for detecting pitted morningglory (Ipomoea lacunosa) in soybean (Glycine max) (2003, methodology): “A 95% confidence interval, I95, was also calculated to monitor the reliability of classification results and account for the limited size of the training and testing data (Fisher & Belle, 1993).”
- Body Mass Index and Risk for End-Stage Renal Disease (2006, methodology): “We analyzed the relationship between category of BMI and subsequent risk for ESRD by using time-to-event methods (18).”
- The meaning and the measure of health literacy (2006, background): “80).(15) Both tests are also highly correlated with general vocabulary tests (i.”
- PathNet: a tool for pathway analysis using topological information (2012, neutral): “The simplest and most widely used method for identifying pathways based on gene expression data is the hypergeometric test [5], which assesses whether the number of differentially expressed genes in a pathway is significantly higher than what would be expected by chance.”