- Revisiting Sample Allocation Methods🔍
- Validating a dynamic population microsimulation model🔍
- Optimal Sample Size Allocation to Mixed Modes🔍
- A modular simulation framework for organ allocation🔍
- Sample size calculations for testing equivalence of two exponential ...🔍
- A Simulation Budget Allocation Procedure for Enhancing the ...🔍
- A Simulation Study of the Validity and Efficiency of Design|Adaptive ...🔍
- Resource Allocation for Selection Decisions with Measurement ...🔍
Simulation Study to Validate Sample Allocation for the National ...
Revisiting Sample Allocation Methods: A Simulation-Based ...
One way to perform this comparison is through a simulation study as if we were a na- tional statistical agency having to conduct a business ...
Validating a dynamic population microsimulation model
As Wolfson noted, the US. National Academy of Science, in a specially commissioned panel study on microsimulation for ... rather than an income sample survey).
Optimal Sample Size Allocation to Mixed Modes: A Case Study ...
In the National Survey on Drug Use and Health (NSDUH), as in NHANES ... 4) Run a simulation study to confirm that empirical results match the theory.
simKAP: simulation framework for the kidney allocation process with ...
In this study, using deceased donor kidney transplantation as an example, we developed a flexible simulation framework for the Kidney Allocation Process (simKAP) ...
A modular simulation framework for organ allocation
We describe and validate a new simulation framework addressing important limitations of the Simulated Allocation Models (SAMs) long used to project population ...
Sample size calculations for testing equivalence of two exponential ...
... simulation study, and are recommended for the future use. (PsycINFO Database ... lifetime; allocation ratio; equivalence test; failure rate; Type I/II censoring ...
A Simulation Budget Allocation Procedure for Enhancing the ...
... In the past decade, the OCBA approach was extended in a variety of ways for different types of simulation optimization problems. For example ...
A Simulation Study of the Validity and Efficiency of Design-Adaptive ...
Dynamic allocation of participants to treatments in a clinical trial has been an alternative to randomization for nearly 35 years.
Resource Allocation for Selection Decisions with Measurement ...
To test this intuition, we conducted a simulation study to understand how the experimental sample allocation affects the probability of correct selection ...
Methodology for Validating Building Energy Analysis Simulations
Section 2.0 reviews a sampling of the literature on the validation of building energy analysis simulations, which shows that previous validation studies ...
Simulation budget allocation for simultaneously selecting the best ...
Motivated by the practical needs in simulation optimization, this paper considers the problem of selecting the best m and worst n designs from a total of k ...
A Simulation Study of the Validity and Efficiency of Design-Adaptive ...
A new, adjusted permutation estimate of the standard deviation of the regression estimator under design- adaptive allocation is shown to be an unbiased estimate ...
Statistical considerations in the design and analysis of non-inferiority ...
Instrumental variable estimation overcomes this limitation and gives unbiased estimates even when confounders are not known, but typically requires large sample ...
Ten nursing programs, across the US, were selected to participate as sites for the National Simulation Study. ... This study was designed and powered to test ...
Chapter 10: Analysing data and undertaking meta-analyses
... study characteristic is associated with the intervention effects in the meta-analysis. For example, studies in which allocation sequence concealment was ...
How Stratified Random Sampling Works, With Examples
Stratified random sampling has numerous applications and benefits, such as studying population demographics and life expectancy. It is also called proportional ...
Simulation Study of Surveillance Strategies for Faster Detection of ...
In our scenarios, we do not consider the time it takes to sequence and report data obtained from a sample. Sequencing and reporting times are ...
A Sequential Budget Allocation Framework for Simulation Optimization
Solving these problems typically involves two efforts: one is to explore the solution space and the other is to exploit the performance values of the sampled ...
A simulation-based evaluation of machine learning models for ...
We specifically study the problem of using machine learning to predict postoperative 30-day hospital readmission via an emer- gency department, and compare ...
HHS Risk Adjustment Data Validation (HHS-RADV) White Paper
... sample to satisfy the Neyman allocation formula with a sample size ... Once we have taken a single simulation sample, the failure rates for that ...