'Simulations for power analysis' presentation/mini workshop for the JCU CodeR group. See repo for slides and code to conduct your own simulation power analysis in R!
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Updated
Jul 18, 2022 - R
'Simulations for power analysis' presentation/mini workshop for the JCU CodeR group. See repo for slides and code to conduct your own simulation power analysis in R!
ggplotting power curves from simr package
Eficácia do Ácido tranexâmico na redução de edema em cirurgias plásticas de face: projeto piloto
R Shinyapp to calculate sample size for a given power
Sample size for the verification of possible Interleukin-6 circadian rhythm in Alpha-1 Antitrypsin deficient patients
Simulate population dynamics and survey data that respond to stream hydrology using historical data from USGS stream gages.
The data analysis code for the replication study CREP-21-39.
Visualise the output from allFit(), to look at the parameters for a set of predictors across a set of optimizers (e.g., bobyqa, Nelder-Mead, etc.)
📈 Sample size estimation for the {pregnancy} project
This repository explores the activation patterns of A2 noradrenergic neurons in fear-conditioned rats, using statistical analyses like t-tests and linear regression in R. It focuses on the differences in dopamine β-hydroxylase (DbH) neuron activation between various environmental conditions.
A Tidy Extension for Power Analysis
Análise estatística de estudo de carpectomias comparando vias de acesso dorsal e volar
Power analysis for fish guidance structures in downstream migration of fish in Swiss rivers
[Done] Giving a hand for the revision related to power analysis
A package of wrapper functions that are useful when analyzing data from randomized controlled trials (RCTs, especially with three or more treatment assignments)
Shiny web app to run power analysis for RNA-Seq experiments.
Eficácia do Ácido tranexâmico na redução de edema em cirurgias plásticas de prótese mamária: projeto piloto
Анализ групного датасета по игровой зависимости, проверка психологических гипотез с помощью ряда статистических методов: анализ мощности, анализ латентных классов, анова фреквентистская VS байесовская
This incomplete repository is used to facilitate the consultation of individual files in this project. Only files smaller than 100 MB are available here. The complete project is available at https://doi.org/10.17605/OSF.IO/GT5UF.
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