Sound experimental design is of vital importance when conducting any scientific experiment. Choices made at the design stage have the potential to drastically impact the results of any study. A strong ...

Design of Experiments (DOE) are a powerful concept in semiconductor engineering research and development. DOEs are sets of experiments used to explore the sensitivity of experimental variables and ...

Single-cell RNA sequencing (scRNA-seq) has revolutionized modern biology, allowing scientists to study the expression of ...

Many experiments on a system or process have multiple responses of interest, each with potentially different data types and hence underlying distributions. However, traditionally, designing the ...

In general, modeling data from blocked and split-plot response surface experiments requires the use of generalized least squares and the estimation of two variance components. The literature on the ...

Stanford Medicine researchers have developed an artificial intelligence tool to help scientists better plan gene-editing ...

Citations: Karlan, Dean, Jinyong Hahn, Kei Hirano. 2011. Adaptive Design of Multiple Stage Experiments Using the Propensity Score. Journal of Business & Economic Statistics. (1)96-108.

Data collection is sometimes performed without considering the effect poorly collected data has in the strength of statistical conclusions. When researchers properly design an experiment, they are ...