An important issue for many economic experiments is how the experimenter can ensure
sufficient power for rejecting one or more hypotheses. Here, we apply methods developed …

Testing Un-Separated Hypotheses by Estimating a Distance Page 1 Bayesian Analysis (2018)
13, Number 2, pp. 461–484 Testing Un-Separated Hypotheses by Estimating a Distance …

Carpenter et al.(2013) propose a multiple imputation (MI) approach for analyzing data from
clinical trials with protocol deviations. Sensitivity analysis to departures from missing at …

Mixed-effects models containing both fixed and random effects have become widely used in
the cognitive sciences, as they are particularly appropriate for the analysis of clustered data …

The split-plot design arose from agricultural science with experimental units, also known as
the subplots, nested within groups known as the whole plots. It assigns different …

Single-case experimental designs (SCEDs) are frequently used research designs in
psychology,(special) education, and related fields. Hybrid designs are formed by combining …

We extend the randomization-based causal inference framework in Dasgupta et al.(2015)
for general 2 K factorial designs, and demonstrate the equivalence between regression …

The multiple testing problem is a well-known statistical stumbling block in high-throughput
data analysis, where large scale repetition of statistical methods introduces unwanted noise …

In the last decade science has fallen into a replication crisis, this means that researches,
when replicated, do not give the same results as the original ones. The difficulty in …