Overestimating Outcome Rates: Statistical Estimation When Reliability Is Suboptimal

Overestimating outcome rates: statistical estimation when reliability is suboptimal.

OBJECTIVE To demonstrate how failure to account for measurement error in an outcome (dependent) variable can lead to significant estimation errors and to illustrate ways to recognize and avoid these errors. DATA SOURCES Medical literature and simulation models. STUDY DESIGN/DATA COLLECTION Systematic review of the published and unpublished epidemiological literature on the rate of preventab...

when appropriate statistical analysis is dismissed

When Is the Probability Ranking Principle Suboptimal?

Predictive Ability of Statistical Genomic Prediction Methods When Underlying Genetic Architecture of Trait Is Purely Additive

A simulation study was conducted to address the issue of how purely additive (simple) genetic architecture might impact on the efficacy of parametric and non-parametric genomic prediction methods. For this purpose, we simulated a trait with narrow sense heritability h2= 0.3, with only additive genetic effects for 300 loci in order to compare the predictive ability of 14 more practically used ge...

Economic-Statistical Design of a Control Chart for High Yield Processes When the Inspection is Imperfect

CCC-r control chart is a monitoring technique for high yield processes. It is based on the analysis of the number of inspected items until observing a specific number of defective items.  One of the assumptions in implementing CCC-r chart that has a significant effect on the design of the control chart is that the inspection is perfect. However, in reality, due to the multiple reasons, the...