#effectsize
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mzloteanu.bsky.social
#statstab #639 The number needed to treat: it is time to bow out gracefully

Thoughts: NNT stands for night-night time!

#nnt #clinical #effectsize #inference #effects #methods #statistics #bias #commentary

www.jclinepi.com/article/S089...
The number needed to treat: it is time to bow out gracefully
The number needed to treat (NNT) is a simple-to-understand absolute effect measure. However, it is only sensible when the risk difference is statistically significant. We highlight two important limit...
www.jclinepi.com
October 15, 2026 at 5:41 PM
mzloteanu.bsky.social
#statstab #635 Standardization and other approaches to meta-analyze differences in means

Thoughts: A good resource for selecting the standardiser in your SMD & comments for the {metafor} pkg.

#metaanalysis #smd #effectsize #cohend #bias #heterogeneity

onlinelibrary.wiley.com/doi/10.1002/...
Standardization and other approaches to meta‐analyze differences in means
Meta-analysts often use standardized mean differences (SMD) to combine mean effects from studies in which the dependent variable has been measured with different instruments or scales. In this tutori...
onlinelibrary.wiley.com
October 9, 2026 at 4:32 PM
mzloteanu.bsky.social
#statstab #634 Standardized Regression Coefficients: A Further Critique and Review of Some Alternatives

Thoughts: Devastating critique of SMDs (e.g. Cohen's d or Pearson's r).

#smd #cohend #effectsize #estimand #standardization #covariates #ancova #SD

www.ovid.com/jnls/epidem/...
Standardized Regression Coefficients : Epidemiology
Abstract was not provided for this article.
www.ovid.com
October 8, 2026 at 7:15 PM
mzloteanu.bsky.social
#statstab #632 Decline effects, statistical artifacts, and a meta-analytic paradox

Thoughts: Plz don't flip/reverse your effects without thinking about the scale!

#metaanalysis #bias #error #effectsize #effects #critique #artifact

raw.githubusercontent.com/richarddmore...
raw.githubusercontent.com
October 6, 2026 at 3:54 PM
tjmahr.com
what a handy page easystats.github.io/effectsize/r...
Interpret Correlation Coefficient — interpret_r
Interpret Correlation Coefficient
easystats.github.io
September 25, 2026 at 6:19 PM
mzloteanu.bsky.social
#statstab #615 Evaluating Effect Size in Psychological Research: Sense and Nonsense

Thoughts: It's a bit baffling that ppl just use some random value for their research.

#effectsize #cohend #sesoi #design #theory

journals.sagepub.com/doi/10.1177/...
Sage Journals: Discover world-class research
Subscription and open access journals from Sage, the world's leading independent academic publisher.
journals.sagepub.com
September 11, 2026 at 4:24 PM
mzloteanu.bsky.social
#statstab #609 When power analyses based on pilot data are biased: Inaccurate effect size estimators and follow-up bias

Thoughts: Don't judge effects by impressive pilot data.

#poweranalysis #bias #samplesize #error #eta2 #omega #epsilon #effectsize

www.sciencedirect.com/science/arti...
When power analyses based on pilot data are biased: Inaccurate effect size estimators and follow-up bias
When designing a study, the planned sample size is often based on power analyses. One way to choose an effect size for power analyses is by relying on…
www.sciencedirect.com
September 3, 2026 at 5:25 PM
arcstats.bsky.social
Yeah, understandable, but I think partial eta squared has its issues too (certainly wouldn’t use it in the case of this paper). If you aren’t going to model at the trial level (mixed model or Bernoulli glm) then I’d use non-parametric effect size or a ratio of means (both available in effectsize)
November 3, 2023 at 9:35 PM
cranberriesfeed.bsky.social
CRAN updates: effectsize laminr MMAD nowcastr zen4R #rstats
July 7, 2026 at 3:02 PM
cranberriesfeed.bsky.social
CRAN updates: Directional effectsize LUCIDus mlmRev NNS panelView presize randotools rJava rtmpinvi tidyILD #rstats
March 11, 2026 at 9:02 AM
cranberriesfeed.bsky.social
CRAN updates: effectsize #rstats
May 27, 2025 at 2:02 PM
cranberriesfeed.bsky.social
CRAN updates: DDIwR effectsize #rstats
December 10, 2024 at 8:02 AM
cranberriesfeed.bsky.social
CRAN updates: effectsize eurlex #rstats
July 3, 2024 at 7:02 AM
cranberriesfeed.bsky.social
CRAN updates: effectsize #rstats
May 12, 2024 at 7:02 AM
cranberriesfeed.bsky.social
CRAN updates: broom.mixed collapse effectsize geoperu loon.ggplot #rstats
April 1, 2024 at 9:02 AM
pelagic.bsky.social
Coming soon! Statistics and Data Handling for Biologists by Neil Millar 📖

Learn more and preorder your copy ➡️ https://tinyurl.com/mrxx6vbw

#biology #statistics #statisticssoftware #excel #jamovi #effectsize #poweranalysis
August 21, 2025 at 9:21 AM
satrevik.fediscience.org.ap.brid.gy
An even better solution would be a table where you could select which type of effect #effectsize measure to show (calculated using e.g. these calculations https://www.escal.site/). If anyone has the skills to implement that in #wikipedia #markup, please do so!
Effect size converter
Effect size converter/calculator to convert between common effect sizes used in research.
www.escal.site
January 30, 2025 at 11:53 AM
tjmahr.com
slick
pooled_var <- function(...) { dots <- list(...) vars <- vapply(dots, var, numeric(1)) # "If the sample sizes are non-uniform, then the pooled variance # {\displaystyle s_{p}^{2}} can be computed by the weighted average, using as # weights {\displaystyle w_{i}=n_{i}-1}" # <https://en.wikipedia.org/wiki/Pooled_variance> weighted.mean(vars, lengths(dots) - 1) } split(mtcars$mpg, mtcars$am) |> do.call(what = pooled_var) |> sqrt() #> [1] 4.902029 effectsize::sd_pooled(mpg ~ am, data = mtcars) #> [1] 4.902029
April 23, 2025 at 7:27 PM
tjmahr.com
TIL about the stats::Pair() function for stats formulas, thanks to this page easystats.github.io/effectsize/r...
Standardized Mean Differences for Repeated Measures — repeated_measures_d
Compute effect size indices for standardized mean differences in repeated measures data. Pair with any reported stats::t.test(paired = TRUE). In a repeated-measures design, the same subjects are meas...
easystats.github.io
February 29, 2024 at 5:40 PM
tommytang.bsky.social
Significance is not enough! The goal of this package is to provide utilities to work with indices of effect size and standardized parameters, allowing computation and conversion of indices such as Cohen’s d, r, odds-ratios, etc. easystats.github.io/effectsize/ #rstats
December 18, 2024 at 3:15 PM
cranupdates.bsky.social
Updates on CRAN: altdoc (0.7.3), binom (1.1-2), effectsize (1.0.3), GWnorm (1.0.2), laminr (1.3.1), MMAD (3.0.0), nowcastr (0.2.1), zen4R (0.10.6)
July 7, 2026 at 6:57 PM
cranupdates.bsky.social
Updates on CRAN: BIOMASS (2.2.7), countyhealthR (0.1.5), Directional (7.4), effectsize (1.0.2), fastkmedoids (1.5), LUCIDus (3.1.0), mlmRev (1.0-9), NNS (11.6.5)
March 11, 2026 at 9:42 AM
cranupdates.bsky.social
Updates on CRAN: anndata (0.8.0), effectsize (1.0.1), FlowerMate (1.1)
May 27, 2025 at 5:23 PM
cranupdates.bsky.social
Updates on CRAN: asremlPlus (4.4.43), BioVizSeq (0.1.2), charlesschwabapi (1.0.4), DDIwR (0.19), effectsize (1.0.0), epiR (2.0.78), familial (1.0.7), fitzRoy (1.6.0), np (0.60-18), ShapePattern (3.1.0), stringdist (0.9.14), upndown (0.2.0)
December 10, 2024 at 9:22 AM
cranupdates.bsky.social
Updates on CRAN: arcgisgeocode (0.2.0), crypto2 (2.0.1), effectsize (0.8.9), eurlex (0.4.8), fdapace (0.6.0), gadget3 (0.12-1), heiscore (0.1.1), mapme.biodiversity (0.8.0), omopgenerics (0.2.3), OPI (3.0.1), RCPA (0.2.3), seededlda (1.3.2)
July 3, 2024 at 9:17 AM