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2 votes
1 answer
59 views

Power calculation with a binary outcome (using a R package & manual simulation)

I am trying to compare three different methods for power calculation under the same setting. Although I understand that the power estimates from each method cannot be exactly identical due to ...
KLee's user avatar
  • 335
1 vote
2 answers
65 views

Mixed model: Which parameters to provide for sample size calculations?

I am currently planning an analysis in a relatively new area of research and would like to provide data that will allow for future power analyses. Unfortunately, I am completely lost in the ...
a.henrietty's user avatar
0 votes
0 answers
35 views

Calculating Sample Size for Cumulative Link Mixed Model (CLMM)

I am going to collect data in which each participant answers to 3 questions to 18 vignettes (each vignette has 3 questions), each question with likert scales 1-5. The dependent variables (questions) ...
Simón Schulz Montecinos's user avatar
0 votes
0 answers
76 views

Post hoc power for multiple logistic regression

I have data frame named "finalend", I conducted multiple logistic regression model named "model" with all predictors as categorical or binomial variables and "TestAnxiety"...
NEA's user avatar
  • 33
2 votes
0 answers
57 views

Power sizing when sampling from a group with known subgroups

I need to do a power analysis of a group that is composed of three subgroups. The measurements to sample are difference measurements between two dogs of the same breed rated side by side. Dogs are ...
Estimate the estimators's user avatar
3 votes
1 answer
574 views

Calculating minimum sample size required for repeated measures linear mixed model using the simr package

I would like to use the simr package to calculate the smallest sample size needed to achieve $0.80$ power at the $0.05$ alpha level while accounting for a small ...
AHS's user avatar
  • 31
1 vote
1 answer
110 views

simr Power analysis consistently yields low power

I've been running the following code: ...
elena g's user avatar
  • 11
1 vote
2 answers
56 views

Estimating error variance for simulated path analysis

I want to run a simulation using lavaan and simsem to determine the sample size to use in a study using path analysis. The ...
kathryn's user avatar
  • 13
3 votes
1 answer
82 views

Why do we have to simulate the response variable in simulation-based power analysis?

I have some existing data, and I want to do a power analysis for a second confirmatory study. I want to estimate the number of participants I would need for having a power of .9, keeping the same ...
a_gdevr's user avatar
  • 137
1 vote
0 answers
36 views

Estimate minimum detectable effect using simulations [closed]

In a study investigating a time-to-event outcome in a propensity score matched sample, the authors state the following in their methods: "Where no evidence of difference between the compared ...
DonUber's user avatar
  • 11
0 votes
0 answers
21 views

Simulate competing risks

I am trying to simulate competing risks data for a power analysis. Based on historical data, we know that after 12 months: 40% had experienced the event of interest 20% had experienced the competing ...
LuckyPal's user avatar
  • 1,900
0 votes
0 answers
50 views

Power analysis for correlated data points

I want to using simulation to determine the effect size that could be detected with my sample size. What makes the simulation a bit complicated is that my dataset is about species traits. It means ...
Emma's user avatar
  • 1
2 votes
1 answer
386 views

Power analysis for simple LMER model in R from scratch

I'd like to compute power for some rather simple lmer models. I am aware of some packages like simr but the tutorials are not easy to follow because they ...
socialresearcher's user avatar
8 votes
1 answer
526 views

Power analysis for GAMM

Question I am struggling with understanding how to run a simulated power analysis for GAMMs. Though my planned studies will include more variables, the core issue I'm trying to work out is to simulate ...
Shawn Hemelstrand's user avatar
0 votes
0 answers
68 views

How to simulate monotonic data with constrained range?

I'm running simulations for a power analysis for a negative binomial GLMM. The dependent variable has a negative binomial distribution and will be measured at five time points. It has two other ...
zephryl's user avatar
  • 190

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