Exploring Consequences of Simulation Design for Apparent Performance of Statistical Methods. 2: Results from simulations with normally and uniformly distributed sample sizes

07/07/2020
by   Elena Kulinskaya, et al.
0

This report continues our investigation of effects a simulation design may have on the conclusions on performance of statistical methods. In the context of meta-analysis of log-odds-ratios, we consider five generation mechanisms for control probabilities and log-odds-ratios. Our first report (Kulinskaya et al. 2020) considered constant sample sizes. Here we report on the results for normally and uniformly distributed sample sizes.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
06/04/2021

Odds Ratios are far from "portable": A call to use realistic models for effect variation in meta-analysis

Objective: Recently Doi et al. argued that risk ratios should be replace...
research
10/05/2020

Statistical Reliability of 10 Years of Cyber Security User Studies (Extended Version)

Background. In recent years, cyber security security user studies have b...
research
07/03/2022

How to Sample Approval Elections?

We study the multifaceted question of how to sample approval elections i...
research
05/17/2023

Exploring Uniform Finite Sample Stickiness

It is well known, that Fréchet means on non-Euclidean spaces may exhibit...
research
09/24/2019

Completely uniformly distributed sequences based on de Bruijn sequences

We study a construction published by Donald Knuth in 1965 yielding a com...
research
07/14/2021

Comparison of Canonical Correlation and Partial Least Squares analyses of simulated and empirical data

In this paper, we compared the general forms of CCA and PLS on three sim...

Please sign up or login with your details

Forgot password? Click here to reset