#samplesize — Public Fediverse posts

@ki_sekiya
2/2
Not convinced by the stats in the article. I thought that a random sample of +70 ispections would usually provide accurate reliable conclusions.

".. the Clean Energy Regulator carried out 1,278 compliance inspections.
...
The sample size in the regulator’s report is small – 0.5% of the total number of systems installed.

With such a small sample size, i
t is hard to extrapolate the level of installation non-compliance across all systems in Australia."
#Statistics #SampleSize

Another #PeerReview done.

Manuscript c3,000 words
Review c2,300 words
3.25hrs

I do love Null results.*

Nevertheless, a good theoretical background is important (and ideally written down before the results are known).

It should be clear what an effect could look like.
#EffectSize #SampleSize

Superiority is different to non-inferiority.
#RCT

#PreRegistration #RegisteredReport

* ad libbing on Julia Rohrer's post here:
https://www.the100.ci/2017/06/01/why-we-should-love-null-results/

Another #PeerReview done.

Manuscript c3,000 words
Review c2,300 words
3.25hrs

I do love Null results.*

Nevertheless, a good theoretical background is important (and ideally written down before the results are known).

It should be clear what an effect could look like.
#EffectSize #SampleSize

Superiority is different to non-inferiority.
#RCT

#PreRegistration #RegisteredReport

* ad libbing on Julia Rohrer's post here:
https://www.the100.ci/2017/06/01/why-we-should-love-null-results/

Another #PeerReview done.

Manuscript c3,000 words
Review c2,300 words
3.25hrs

I do love Null results.*

Nevertheless, a good theoretical background is important (and ideally written down before the results are known).

It should be clear what an effect could look like.
#EffectSize #SampleSize

Superiority is different to non-inferiority.
#RCT

#PreRegistration #RegisteredReport

* ad libbing on Julia Rohrer's post here:
https://www.the100.ci/2017/06/01/why-we-should-love-null-results/

Another #PeerReview done.

Manuscript c3,000 words
Review c2,300 words
3.25hrs

I do love Null results.*

Nevertheless, a good theoretical background is important (and ideally written down before the results are known).

It should be clear what an effect could look like.
#EffectSize #SampleSize

Superiority is different to non-inferiority.
#RCT

#PreRegistration #RegisteredReport

* ad libbing on Julia Rohrer's post here:
https://www.the100.ci/2017/06/01/why-we-should-love-null-results/

Today, I released a new module in the Statistics Globe Hub that explains how to perform sample size calculation using power analysis.

More info about the Statistics Globe Hub: https://statisticsglobe.com/hub

#rstats #datascience #statistics #poweranalysis #samplesize #studyplanning #statisticsglobehub

sample size

https://piefed.zip/c/NiceMemes/p/1126620/sample-size

Another #PeerReview done.

Manuscript c4,000 words
Review c2,700 words
5hrs

Paper in a key area of my methodological work, so it was really interesting. But I really needed to get stuck in.

Two collaboration projects on the design and reporting of #RCTs that might be useful for others:

https://pubmed.ncbi.nlm.nih.gov/37982521/
presents 19 factors to aid trial design, and the DELTA2 Guidance specifying a target difference and reporting the #SampleSize calculation for RCTs
https://trialsjournal.biomedcentral.com/articles/10.1186/s13063-018-2884-0

#StudyDesign

Another #PeerReview done.

Manuscript c4,000 words
Review c2,700 words
5hrs

Paper in a key area of my methodological work, so it was really interesting. But I really needed to get stuck in.

Two collaboration projects on the design and reporting of #RCTs that might be useful for others:

https://pubmed.ncbi.nlm.nih.gov/37982521/
presents 19 factors to aid trial design, and the DELTA2 Guidance specifying a target difference and reporting the #SampleSize calculation for RCTs
https://trialsjournal.biomedcentral.com/articles/10.1186/s13063-018-2884-0

#StudyDesign

Another #PeerReview done.

Manuscript c4,000 words
Review c2,700 words
5hrs

Paper in a key area of my methodological work, so it was really interesting. But I really needed to get stuck in.

Two collaboration projects on the design and reporting of #RCTs that might be useful for others:

https://pubmed.ncbi.nlm.nih.gov/37982521/
presents 19 factors to aid trial design, and the DELTA2 Guidance specifying a target difference and reporting the #SampleSize calculation for RCTs
https://trialsjournal.biomedcentral.com/articles/10.1186/s13063-018-2884-0

#StudyDesign

Another #PeerReview done.

Manuscript c4,000 words
Review c2,700 words
5hrs

Paper in a key area of my methodological work, so it was really interesting. But I really needed to get stuck in.

Two collaboration projects on the design and reporting of #RCTs that might be useful for others:

https://pubmed.ncbi.nlm.nih.gov/37982521/
presents 19 factors to aid trial design, and the DELTA2 Guidance specifying a target difference and reporting the #SampleSize calculation for RCTs
https://trialsjournal.biomedcentral.com/articles/10.1186/s13063-018-2884-0

#StudyDesign

Rookie report card: Grading the New Orleans Saints 2025 draft class after Week 6 https://www.rawchili.com/nfl/444795/ #DannyStutsman #DevinNeal #ErikMcCoy #FadilDiggs #Football #JonasSanker #JustinReid #KelvinBanks #MolikiMatavao #NewEnglandPatriots #NewOrleans #NewOrleansSaints #NewOrleans #NewOrleansSaints #NFL #QuincyRiley #saints #SampleSize #TalieseFuaga #TylerShough #VernonBroughton

Rookie report card: Grading the New Orleans Saints 2025 draft class after Week 6 https://www.rawchili.com/nfl/444795/ #DannyStutsman #DevinNeal #ErikMcCoy #FadilDiggs #Football #JonasSanker #JustinReid #KelvinBanks #MolikiMatavao #NewEnglandPatriots #NewOrleans #NewOrleansSaints #NewOrleans #NewOrleansSaints #NFL #QuincyRiley #saints #SampleSize #TalieseFuaga #TylerShough #VernonBroughton

Which #SampleSize to use in your pilot or feasibility trial?

Well, you won't find the answer in this review of studies in #ISRCTN (2013 to 2020)
https://pilotfeasibilitystudies.biomedcentral.com/articles/10.1186/s40814-023-01416-w

But it is a good intro into the topic, and with 57% not reaching their target sample size, they may interestingly not provide the information they were designed to offer!

#StudyDesign #RCT

Which #SampleSize to use in your pilot or feasibility trial?

Well, you won't find the answer in this review of studies in #ISRCTN (2013 to 2020)
https://pilotfeasibilitystudies.biomedcentral.com/articles/10.1186/s40814-023-01416-w

But it is a good intro into the topic, and with 57% not reaching their target sample size, they may interestingly not provide the information they were designed to offer!

#StudyDesign #RCT

Which #SampleSize to use in your pilot or feasibility trial?

Well, you won't find the answer in this review of studies in #ISRCTN (2013 to 2020)
https://pilotfeasibilitystudies.biomedcentral.com/articles/10.1186/s40814-023-01416-w

But it is a good intro into the topic, and with 57% not reaching their target sample size, they may interestingly not provide the information they were designed to offer!

#StudyDesign #RCT

Which #SampleSize to use in your pilot or feasibility trial?

Well, you won't find the answer in this review of studies in #ISRCTN (2013 to 2020)
https://pilotfeasibilitystudies.biomedcentral.com/articles/10.1186/s40814-023-01416-w

But it is a good intro into the topic, and with 57% not reaching their target sample size, they may interestingly not provide the information they were designed to offer!

#StudyDesign #RCT

How large should your sample size be?

https://vickiboykis.com/2015/08/04/how-large-should-your-sample-size-be/

#HackerNews #sampleSize #statistics #research #dataScience #methodology

Application of JNDs to meta-science. Very sensible!

"For example, in clinical settings researchers may specify this smallest effect size of interest as the smallest difference in a health condition that patients themselves notice...this practice has been used at least since the advent of psychophysics in the second half of the 19th century"

#metascience #psychology #neuroscience #effectsize #psychophysics #samplesize

https://www.nature.com/articles/s41562-024-01858-z?utm_source=nathumbehav_etoc&utm_medium=email&utm_campaign=toc_41562_8_5&utm_content=20240529

`This review holds two main aims. The first aim is to explain the importance of sample size and its relationship to effect size (ES) and statistical significance. The second aim is to assist researchers planning to perform sample size estimations by suggesting and elucidating available alternative software, guidelines and references that will serve different scientific purposes.`

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7745163/

#sampleSize #effectSize

I'll be offering an introduction to #simulation methods to determine #SampleSize-s for clustered / nested studies.

Apparently another popular session at #RMeF23 🙇

One of the classics that got me into this area is Ukoumunne's
https://onlinelibrary.wiley.com/doi/abs/10.1002/sim.1330

I was always interested in how to straddle the overlap between observational #TherapistEffect studies* and #RCTs in this area.

#Rstats #StudyDesign

* eg., https://rdcu.be/dqi20

I'll be offering an introduction to #simulation methods to determine #SampleSize-s for clustered / nested studies.

Apparently another popular session at #RMeF23 🙇

One of the classics that got me into this area is Ukoumunne's
https://onlinelibrary.wiley.com/doi/abs/10.1002/sim.1330

I was always interested in how to straddle the overlap between observational #TherapistEffect studies* and #RCTs in this area.

#Rstats #StudyDesign

* eg., https://rdcu.be/dqi20

I'll be offering an introduction to #simulation methods to determine #SampleSize-s for clustered / nested studies.

Apparently another popular session at #RMeF23 🙇

One of the classics that got me into this area is Ukoumunne's
https://onlinelibrary.wiley.com/doi/abs/10.1002/sim.1330

I was always interested in how to straddle the overlap between observational #TherapistEffect studies* and #RCTs in this area.

#Rstats #StudyDesign

* eg., https://rdcu.be/dqi20

I'll be offering an introduction to #simulation methods to determine #SampleSize-s for clustered / nested studies.

Apparently another popular session at #RMeF23 🙇

One of the classics that got me into this area is Ukoumunne's
https://onlinelibrary.wiley.com/doi/abs/10.1002/sim.1330

I was always interested in how to straddle the overlap between observational #TherapistEffect studies* and #RCTs in this area.

#Rstats #StudyDesign

* eg., https://rdcu.be/dqi20

I'll be offering an introduction to #simulation methods to determine #SampleSize-s for clustered / nested studies.

Apparently another popular session at #RMeF23 🙇

One of the classics that got me into this area is Ukoumunne's
https://onlinelibrary.wiley.com/doi/abs/10.1002/sim.1330

I was always interested in how to straddle the overlap between observational #TherapistEffect studies* and #RCTs in this area.

#Rstats #StudyDesign

* eg., https://rdcu.be/dqi20

One of the most problematic areas in the submission we get and papers I review are the sections on #SampleSize justifications.

See for example @lakens' excellent paper on the topic:
https://psyarxiv.com/9d3yf/
It now comes with a process guide in a #ShinyApp, which is an excellent support:
https://shiny.ieis.tue.nl/sample_size_justification/
#Rstats

For #HRQL researchers:
https://rdcu.be/dnfO4

And many people teach this stuff, e.g., ☺️
https://www.researchgate.net/publication/335813329_Estimating_sample_sizes_based_on_required_precision_for_surveys_and_epidemiological_research

#StudyDesign #NightshiftEditor
[edit: typo in hashtag]

Online #workshop:
Simulation-based power analyses in (generalized) linear mixed models
17.05.2023, 10-12h CEST

The workshop will cover basics of power analysis, linear mixed models, and why the combination of both requires a simulation-based approach.

In my experience, this is for many areas of #HealthSciences and #HRQL research a key problem when designing studies.

Maybe worth a read as well:
https://link.springer.com/article/10.3758/s13428-021-01546-0

#PowerAnalysis #SampleSize #Rstats #mixedpower #ZPID

Find all the reviews from our Microbial IMPACTT review series with Mucosal Immunology in one convenient place: https://www.mucosalimmunology.org/microbial-impactt

#review #immunology #microbiome #mucosalimmunology #germfree #IBD #wildmicrobiome #microbiota #metabolomics #power #samplesize #metabolites

Find all the reviews from our Microbial IMPACTT review series with Mucosal Immunology in one convenient place: https://www.mucosalimmunology.org/microbial-impactt

#review #immunology #microbiome #mucosalimmunology #germfree #IBD #wildmicrobiome #microbiota #metabolomics #power #samplesize #metabolites

Find all the reviews from our Microbial IMPACTT review series with Mucosal Immunology in one convenient place: https://www.mucosalimmunology.org/microbial-impactt

#review #immunology #microbiome #mucosalimmunology #germfree #IBD #wildmicrobiome #microbiota #metabolomics #power #samplesize #metabolites

(Interested in) Working with the random-intercept Cross-lagged Panel Model and unsure what sample size to use?

Jeroen Mulder fixed it for you:
Mulder, J.D., (2022). Power analysis for the random intercept cross-lagged panel model using the powRICLPM R-package. Structural Equation Modeling: A Multidisciplinary Journal.

https://jeroendmulder.github.io/powRICLPM/

Other questions about the RI-CLPM?
https://jeroendmulder.github.io/RI-CLPM/index.html

#SEM #longitudinal #PanelData #RICLPM #CLPM #Dynamics #power #SampleSize