[HTML][HTML] Absolute or relative effects? Arm‐based synthesis of trial data
S Dias, AE Ades - Research synthesis methods, 2016 - ncbi.nlm.nih.gov
The standard approach to meta-analysis is the contrast-based model where the information
that is pooled over trials is the information of the trial-specific relative treatment effect …
that is pooled over trials is the information of the trial-specific relative treatment effect …
Addressing researcher degrees of freedom through minP adjustment
MM Mandl, AS Becker-Pennrich, LC Hinske… - arXiv preprint arXiv …, 2024 - arxiv.org
When different researchers study the same research question using the same dataset they
may obtain different and potentially even conflicting results. This is because there is often …
may obtain different and potentially even conflicting results. This is because there is often …
[引用][C] Handbook of Statistical Methods for Randomized Controlled Trials. KyungMann Kim, Frank Bretz, Ying Kuen Cheung, Lisa V. Hampson Boca Raton, Chapman …
A Ziegler - 2022 - Wiley Online Library
This Handbook of Statistical Methods for Randomized Controlled Trials is part of the
Handbook of Modern Statistical Methods series published by Chapman & Hall/CRC. It …
Handbook of Modern Statistical Methods series published by Chapman & Hall/CRC. It …
ABkPowerCalculator: An App to Compute Power for Balanced (AB)k Single Case Experimental Designs
Single case experimental designs are an important research design in behavioral and
medical research. Although there are design standards prescribed by the What Works …
medical research. Although there are design standards prescribed by the What Works …
Randomization-Based Causal Inference from Unbalanced 2^ 2 Split-Plot Designs
Given two 2-level factors of interest, a 2^ 2 split-plot design}(a) takes each of the $2^ 2= 4$
possible factorial combinations as a treatment,(b) identifies one factor aswhole-plot,'(c) …
possible factorial combinations as a treatment,(b) identifies one factor aswhole-plot,'(c) …
[PDF][PDF] Biased Hypothesis Formation From Projection Pursuit. Advances in Artificial Intelligence and Machine Learning. 2021; 1 (3): 14
J Patterson - 2021 - oajaiml.com
The effect of bias on hypothesis formation is characterized for an automated data-driven
projection pursuit neural network to extract and select features for binary classification of …
projection pursuit neural network to extract and select features for binary classification of …
Differences of Type I error rates for ANOVA and Multilevel-Linear-Models using SAS and SPSS for repeated measures designs
N Haverkamp, A Beauducel - arXiv preprint arXiv:1804.09135, 2018 - arxiv.org
To derive recommendations on how to analyze longitudinal data, we examined Type I error
rates of Multilevel Linear Models (MLM) and repeated measures Analysis of Variance …
rates of Multilevel Linear Models (MLM) and repeated measures Analysis of Variance …
When to adjust alpha during multiple testing
M Rubin - 2021 - scholar.archive.org
In this new paper (Rubin, 2021), I consider when researchers should adjust their alpha level
(significance threshold) during multiple testing and multiple comparisons. In this new paper …
(significance threshold) during multiple testing and multiple comparisons. In this new paper …
Handling non-detects with imputation in a nested design: A simulation study
R Adjei, JR Stevens - 2022 - digitalcommons.usu.edu
In this paper, a simulation study was conducted to assess whether it is ideal to address the
issue of non-detects in data using a traditional substitution approach for non-detects …
issue of non-detects in data using a traditional substitution approach for non-detects …