#anova — Public Fediverse posts

"Getting over ANOVA: estimation graphics for multi-group comparisons", Lu et al. 2026 (Claridge-Chang's lab).
https://www.nature.com/articles/s41592-026-03187-7

(Preprint v2: https://www.biorxiv.org/content/10.64898/2026.01.26.701654v2 )

"DABEST is available in both Python and R" and there is an online website to run it as well, with documentation:
https://www.estimationstats.com

#statistics #ANOVA

"Getting over ANOVA: estimation graphics for multi-group comparisons", Lu et al. 2026 (Claridge-Chang's lab).
https://www.nature.com/articles/s41592-026-03187-7

(Preprint v2: https://www.biorxiv.org/content/10.64898/2026.01.26.701654v2 )

"DABEST is available in both Python and R" and there is an online website to run it as well, with documentation:
https://www.estimationstats.com

#statistics #ANOVA

"Getting over ANOVA: estimation graphics for multi-group comparisons", Lu et al. 2026 (Claridge-Chang's lab).
https://www.nature.com/articles/s41592-026-03187-7

(Preprint v2: https://www.biorxiv.org/content/10.64898/2026.01.26.701654v2 )

"DABEST is available in both Python and R" and there is an online website to run it as well, with documentation:
https://www.estimationstats.com

#statistics #ANOVA

"Getting over ANOVA: estimation graphics for multi-group comparisons", Lu et al. 2026 (Claridge-Chang's lab).
https://www.nature.com/articles/s41592-026-03187-7

(Preprint v2: https://www.biorxiv.org/content/10.64898/2026.01.26.701654v2 )

"DABEST is available in both Python and R" and there is an online website to run it as well, with documentation:
https://www.estimationstats.com

#statistics #ANOVA

"Getting over ANOVA: estimation graphics for multi-group comparisons", Lu et al. 2026 (Claridge-Chang's lab).
https://www.nature.com/articles/s41592-026-03187-7

(Preprint v2: https://www.biorxiv.org/content/10.64898/2026.01.26.701654v2 )

"DABEST is available in both Python and R" and there is an online website to run it as well, with documentation:
https://www.estimationstats.com

#statistics #ANOVA

Due to a recent discussion with colleagues on whether and when to use #LinearMixedModels (#LMM), I wrote a blog post comparing LMM to other approaches using simulated data. I thought, it may also be useful for others working with hierarchical data structures in #neuroscience and beyond.

🌍 https://www.fabriziomusacchio.com/blog/2026-01-31-linear_mixed_models/

#Python #Statistics #DataScience #MixedModels #Statsmodels #ANOVA #ANCOVA #GLMM #regression

Due to a recent discussion with colleagues on whether and when to use #LinearMixedModels (#LMM), I wrote a blog post comparing LMM to other approaches using simulated data. I thought, it may also be useful for others working with hierarchical data structures in #neuroscience and beyond.

🌍 https://www.fabriziomusacchio.com/blog/2026-01-31-linear_mixed_models/

#Python #Statistics #DataScience #MixedModels #Statsmodels #ANOVA #ANCOVA #GLMM #regression

Due to a recent discussion with colleagues on whether and when to use #LinearMixedModels (#LMM), I wrote a blog post comparing LMM to other approaches using simulated data. I thought, it may also be useful for others working with hierarchical data structures in #neuroscience and beyond.

🌍 https://www.fabriziomusacchio.com/blog/2026-01-31-linear_mixed_models/

#Python #Statistics #DataScience #MixedModels #Statsmodels #ANOVA #ANCOVA #GLMM #regression

Due to a recent discussion with colleagues on whether and when to use #LinearMixedModels (#LMM), I wrote a blog post comparing LMM to other approaches using simulated data. I thought, it may also be useful for others working with hierarchical data structures in #neuroscience and beyond.

🌍 https://www.fabriziomusacchio.com/blog/2026-01-31-linear_mixed_models/

#Python #Statistics #DataScience #MixedModels #Statsmodels #ANOVA #ANCOVA #GLMM #regression

Due to a recent discussion with colleagues on whether and when to use #LinearMixedModels (#LMM), I wrote a blog post comparing LMM to other approaches using simulated data. I thought, it may also be useful for others working with hierarchical data structures in #neuroscience and beyond.

🌍 https://www.fabriziomusacchio.com/blog/2026-01-31-linear_mixed_models/

#Python #Statistics #DataScience #MixedModels #Statsmodels #ANOVA #ANCOVA #GLMM #regression

In another network, senior author Adam Claridge-Chang publicly added this insightful and pungent commentary:

"Here's a dirty secret about ANOVA: it tests a null hypothesis that nobody cares about. When you run a one-way ANOVA, you're testing whether "all group means are equal." But even if you reject this hypothesis, you learn nothing about which groups differ, in which direction, or by how much. So you embark on a second analytical step: multiple two-group comparisons. A modest six-group experiment suddenly requires testing 15 hypotheses. To manage this multiplicity, you apply corrections like Bonferroni, which undermine your statistical power. What you posed as a focused research question has sprawled into a complex web of subsidiary tests, forced by the ANOVA ritual."

"Our new preprint, "Getting over ANOVA: Estimation graphics for multi-group comparisons," makes the case for a better approach. Estimation statistics encourages you to compare each test group to a single control, focusing on the effect sizes that actually matter. A six-group experiment focuses attention on just five effect sizes with confidence intervals, showing magnitude and precision directly."

"The preprint introduces estimation methods for a range of multi-group designs: repeated-measures experiments, 2×2 factorial designs, binary outcome data, and mini-meta analysis for internal replicates. Each can replace data-analysis practices used in thousands of studies every year."

#ANOVA #statistics

In another network, senior author Adam Claridge-Chang publicly added this insightful and pungent commentary:

"Here's a dirty secret about ANOVA: it tests a null hypothesis that nobody cares about. When you run a one-way ANOVA, you're testing whether "all group means are equal." But even if you reject this hypothesis, you learn nothing about which groups differ, in which direction, or by how much. So you embark on a second analytical step: multiple two-group comparisons. A modest six-group experiment suddenly requires testing 15 hypotheses. To manage this multiplicity, you apply corrections like Bonferroni, which undermine your statistical power. What you posed as a focused research question has sprawled into a complex web of subsidiary tests, forced by the ANOVA ritual."

"Our new preprint, "Getting over ANOVA: Estimation graphics for multi-group comparisons," makes the case for a better approach. Estimation statistics encourages you to compare each test group to a single control, focusing on the effect sizes that actually matter. A six-group experiment focuses attention on just five effect sizes with confidence intervals, showing magnitude and precision directly."

"The preprint introduces estimation methods for a range of multi-group designs: repeated-measures experiments, 2×2 factorial designs, binary outcome data, and mini-meta analysis for internal replicates. Each can replace data-analysis practices used in thousands of studies every year."

#ANOVA #statistics

In another network, senior author Adam Claridge-Chang publicly added this insightful and pungent commentary:

"Here's a dirty secret about ANOVA: it tests a null hypothesis that nobody cares about. When you run a one-way ANOVA, you're testing whether "all group means are equal." But even if you reject this hypothesis, you learn nothing about which groups differ, in which direction, or by how much. So you embark on a second analytical step: multiple two-group comparisons. A modest six-group experiment suddenly requires testing 15 hypotheses. To manage this multiplicity, you apply corrections like Bonferroni, which undermine your statistical power. What you posed as a focused research question has sprawled into a complex web of subsidiary tests, forced by the ANOVA ritual."

"Our new preprint, "Getting over ANOVA: Estimation graphics for multi-group comparisons," makes the case for a better approach. Estimation statistics encourages you to compare each test group to a single control, focusing on the effect sizes that actually matter. A six-group experiment focuses attention on just five effect sizes with confidence intervals, showing magnitude and precision directly."

"The preprint introduces estimation methods for a range of multi-group designs: repeated-measures experiments, 2×2 factorial designs, binary outcome data, and mini-meta analysis for internal replicates. Each can replace data-analysis practices used in thousands of studies every year."

#ANOVA #statistics

In another network, senior author Adam Claridge-Chang publicly added this insightful and pungent commentary:

"Here's a dirty secret about ANOVA: it tests a null hypothesis that nobody cares about. When you run a one-way ANOVA, you're testing whether "all group means are equal." But even if you reject this hypothesis, you learn nothing about which groups differ, in which direction, or by how much. So you embark on a second analytical step: multiple two-group comparisons. A modest six-group experiment suddenly requires testing 15 hypotheses. To manage this multiplicity, you apply corrections like Bonferroni, which undermine your statistical power. What you posed as a focused research question has sprawled into a complex web of subsidiary tests, forced by the ANOVA ritual."

"Our new preprint, "Getting over ANOVA: Estimation graphics for multi-group comparisons," makes the case for a better approach. Estimation statistics encourages you to compare each test group to a single control, focusing on the effect sizes that actually matter. A six-group experiment focuses attention on just five effect sizes with confidence intervals, showing magnitude and precision directly."

"The preprint introduces estimation methods for a range of multi-group designs: repeated-measures experiments, 2×2 factorial designs, binary outcome data, and mini-meta analysis for internal replicates. Each can replace data-analysis practices used in thousands of studies every year."

#ANOVA #statistics

In another network, senior author Adam Claridge-Chang publicly added this insightful and pungent commentary:

"Here's a dirty secret about ANOVA: it tests a null hypothesis that nobody cares about. When you run a one-way ANOVA, you're testing whether "all group means are equal." But even if you reject this hypothesis, you learn nothing about which groups differ, in which direction, or by how much. So you embark on a second analytical step: multiple two-group comparisons. A modest six-group experiment suddenly requires testing 15 hypotheses. To manage this multiplicity, you apply corrections like Bonferroni, which undermine your statistical power. What you posed as a focused research question has sprawled into a complex web of subsidiary tests, forced by the ANOVA ritual."

"Our new preprint, "Getting over ANOVA: Estimation graphics for multi-group comparisons," makes the case for a better approach. Estimation statistics encourages you to compare each test group to a single control, focusing on the effect sizes that actually matter. A six-group experiment focuses attention on just five effect sizes with confidence intervals, showing magnitude and precision directly."

"The preprint introduces estimation methods for a range of multi-group designs: repeated-measures experiments, 2×2 factorial designs, binary outcome data, and mini-meta analysis for internal replicates. Each can replace data-analysis practices used in thousands of studies every year."

#ANOVA #statistics

"Getting over ANOVA: Estimation graphics for multi-group comparisons", Lu et al. 2026 (Claridge-Chang's lab)
https://www.biorxiv.org/content/10.64898/2026.01.26.701654v1

"Data analysis in experimental science mainly relies on null-hypothesis significance testing, despite its well-known limitations. A powerful alternative is estimation statistics, which focuses on effect-size quantification. However, current estimation tools struggle with the complex, multi-group comparisons common in biological research. Here we introduce DABEST 2.0, an estimation framework for complex experimental designs, including shared-control, repeated-measures, two-way factorial experiments, and meta-analysis of replicates."

Grateful to Adam Claridge-Chang for leading and pushing on this. There's institutional-wide need for change in the biological sciences when it comes to statistical handling of data. And quite the memorable acronym, #DABEST ...

#statistics #biology #ANOVA #DABEST

"Getting over ANOVA: Estimation graphics for multi-group comparisons", Lu et al. 2026 (Claridge-Chang's lab)
https://www.biorxiv.org/content/10.64898/2026.01.26.701654v1

"Data analysis in experimental science mainly relies on null-hypothesis significance testing, despite its well-known limitations. A powerful alternative is estimation statistics, which focuses on effect-size quantification. However, current estimation tools struggle with the complex, multi-group comparisons common in biological research. Here we introduce DABEST 2.0, an estimation framework for complex experimental designs, including shared-control, repeated-measures, two-way factorial experiments, and meta-analysis of replicates."

Grateful to Adam Claridge-Chang for leading and pushing on this. There's institutional-wide need for change in the biological sciences when it comes to statistical handling of data. And quite the memorable acronym, #DABEST ...

#statistics #biology #ANOVA #DABEST

"Getting over ANOVA: Estimation graphics for multi-group comparisons", Lu et al. 2026 (Claridge-Chang's lab)
https://www.biorxiv.org/content/10.64898/2026.01.26.701654v1

"Data analysis in experimental science mainly relies on null-hypothesis significance testing, despite its well-known limitations. A powerful alternative is estimation statistics, which focuses on effect-size quantification. However, current estimation tools struggle with the complex, multi-group comparisons common in biological research. Here we introduce DABEST 2.0, an estimation framework for complex experimental designs, including shared-control, repeated-measures, two-way factorial experiments, and meta-analysis of replicates."

Grateful to Adam Claridge-Chang for leading and pushing on this. There's institutional-wide need for change in the biological sciences when it comes to statistical handling of data. And quite the memorable acronym, #DABEST ...

#statistics #biology #ANOVA #DABEST

"Getting over ANOVA: Estimation graphics for multi-group comparisons", Lu et al. 2026 (Claridge-Chang's lab)
https://www.biorxiv.org/content/10.64898/2026.01.26.701654v1

"Data analysis in experimental science mainly relies on null-hypothesis significance testing, despite its well-known limitations. A powerful alternative is estimation statistics, which focuses on effect-size quantification. However, current estimation tools struggle with the complex, multi-group comparisons common in biological research. Here we introduce DABEST 2.0, an estimation framework for complex experimental designs, including shared-control, repeated-measures, two-way factorial experiments, and meta-analysis of replicates."

Grateful to Adam Claridge-Chang for leading and pushing on this. There's institutional-wide need for change in the biological sciences when it comes to statistical handling of data. And quite the memorable acronym, #DABEST ...

#statistics #biology #ANOVA #DABEST

"Getting over ANOVA: Estimation graphics for multi-group comparisons", Lu et al. 2026 (Claridge-Chang's lab)
https://www.biorxiv.org/content/10.64898/2026.01.26.701654v1

"Data analysis in experimental science mainly relies on null-hypothesis significance testing, despite its well-known limitations. A powerful alternative is estimation statistics, which focuses on effect-size quantification. However, current estimation tools struggle with the complex, multi-group comparisons common in biological research. Here we introduce DABEST 2.0, an estimation framework for complex experimental designs, including shared-control, repeated-measures, two-way factorial experiments, and meta-analysis of replicates."

Grateful to Adam Claridge-Chang for leading and pushing on this. There's institutional-wide need for change in the biological sciences when it comes to statistical handling of data. And quite the memorable acronym, #DABEST ...

#statistics #biology #ANOVA #DABEST

Dear @LabPlot guys, do you have a good and functioning implementation of a multi-way #ANOVA (i.e. two-way and further), which we might inspect? We seem to have issues in our own implementation and could need some inspiration on how to solve this.

Dear @LabPlot guys, do you have a good and functioning implementation of a multi-way #ANOVA (i.e. two-way and further), which we might inspect? We seem to have issues in our own implementation and could need some inspiration on how to solve this.

Dear @LabPlot guys, do you have a good and functioning implementation of a multi-way #ANOVA (i.e. two-way and further), which we might inspect? We seem to have issues in our own implementation and could need some inspiration on how to solve this.

Dear @LabPlot guys, do you have a good and functioning implementation of a multi-way #ANOVA (i.e. two-way and further), which we might inspect? We seem to have issues in our own implementation and could need some inspiration on how to solve this.

Dear @LabPlot guys, do you have a good and functioning implementation of a multi-way #ANOVA (i.e. two-way and further), which we might inspect? We seem to have issues in our own implementation and could need some inspiration on how to solve this.

This is the #Anova Precision Oven, btw. They have a new version. Despite how much I use the v1 oven, I don't think I can recommend the v2, given this cash grab.

Two weeks ago I had to tear into this thing to fix a wire that wore through, inside the door, prematurely. I fixed it by soldering, shrink-tubing, kapton taping. This is not normal "I bought an appliance less than 5 years ago" stuff.

If I didn't actually *use* this thing so much, I'd pretty seriously look into replacing the firmware.

This is the #Anova Precision Oven, btw. They have a new version. Despite how much I use the v1 oven, I don't think I can recommend the v2, given this cash grab.

Two weeks ago I had to tear into this thing to fix a wire that wore through, inside the door, prematurely. I fixed it by soldering, shrink-tubing, kapton taping. This is not normal "I bought an appliance less than 5 years ago" stuff.

If I didn't actually *use* this thing so much, I'd pretty seriously look into replacing the firmware.

This is the #Anova Precision Oven, btw. They have a new version. Despite how much I use the v1 oven, I don't think I can recommend the v2, given this cash grab.

Two weeks ago I had to tear into this thing to fix a wire that wore through, inside the door, prematurely. I fixed it by soldering, shrink-tubing, kapton taping. This is not normal "I bought an appliance less than 5 years ago" stuff.

If I didn't actually *use* this thing so much, I'd pretty seriously look into replacing the firmware.

This is the #Anova Precision Oven, btw. They have a new version. Despite how much I use the v1 oven, I don't think I can recommend the v2, given this cash grab.

Two weeks ago I had to tear into this thing to fix a wire that wore through, inside the door, prematurely. I fixed it by soldering, shrink-tubing, kapton taping. This is not normal "I bought an appliance less than 5 years ago" stuff.

If I didn't actually *use* this thing so much, I'd pretty seriously look into replacing the firmware.

This is the #Anova Precision Oven, btw. They have a new version. Despite how much I use the v1 oven, I don't think I can recommend the v2, given this cash grab.

Two weeks ago I had to tear into this thing to fix a wire that wore through, inside the door, prematurely. I fixed it by soldering, shrink-tubing, kapton taping. This is not normal "I bought an appliance less than 5 years ago" stuff.

If I didn't actually *use* this thing so much, I'd pretty seriously look into replacing the firmware.

Anova Precision Oven 2.0: «розумна» піч, яка розпізнає продукти, готує за вас та вимагає окрему підписку https://itc.ua/ua/novini/anova-precision-oven-2-0-rozumna-pich-yaka-rozpiznaye-produkty-gotuye-za-vas-ta-vymagaye-okremu-pidpysku/ #AnovaPrecisionOven2.0 #Побутовіприлади #Кухонніприлади #Технології #Пристрої #Новини #Anova #Печі

Anova Precision Oven 2.0: «розумна» піч, яка розпізнає продукти, готує за вас та вимагає окрему підписку https://itc.ua/ua/novini/anova-precision-oven-2-0-rozumna-pich-yaka-rozpiznaye-produkty-gotuye-za-vas-ta-vymagaye-okremu-pidpysku/ #AnovaPrecisionOven2.0 #Побутовіприлади #Кухонніприлади #Технології #Пристрої #Новини #Anova #Печі

@purplepadma Today I am going to write R statistics code to implement an #ANOVA model for six levels of one factor. I have been putting it off, but it's time I pull on my big boy pants.

@purplepadma Today I am going to write R statistics code to implement an #ANOVA model for six levels of one factor. I have been putting it off, but it's time I pull on my big boy pants.

@purplepadma Today I am going to write R statistics code to implement an #ANOVA model for six levels of one factor. I have been putting it off, but it's time I pull on my big boy pants.

@purplepadma Today I am going to write R statistics code to implement an #ANOVA model for six levels of one factor. I have been putting it off, but it's time I pull on my big boy pants.

@purplepadma Today I am going to write R statistics code to implement an #ANOVA model for six levels of one factor. I have been putting it off, but it's time I pull on my big boy pants.

I’ve just released a new YouTube video on how to perform an analysis of variance (ANOVA) using the R programming language.

Check out the video: https://www.youtube.com/watch?v=b2KmIWGQkrU

This video is also a preview of the upcoming Statistics Globe online course, "Statistical Methods in R," which starts on September 9.

Check out the course: https://statisticsglobe.com/online-course-statistical-methods-r

#statistics #anova #hypothesistesting #datascience #rstats

I’ve just released a new YouTube video on how to perform an analysis of variance (ANOVA) using the R programming language.

Check out the video: https://www.youtube.com/watch?v=b2KmIWGQkrU

This video is also a preview of the upcoming Statistics Globe online course, "Statistical Methods in R," which starts on September 9.

Check out the course: https://statisticsglobe.com/online-course-statistical-methods-r

#statistics #anova #hypothesistesting #datascience #rstats

I’ve just released a new YouTube video on how to perform an analysis of variance (ANOVA) using the R programming language.

Check out the video: https://www.youtube.com/watch?v=b2KmIWGQkrU

This video is also a preview of the upcoming Statistics Globe online course, "Statistical Methods in R," which starts on September 9.

Check out the course: https://statisticsglobe.com/online-course-statistical-methods-r

#statistics #anova #hypothesistesting #datascience #rstats

I’ve just released a new YouTube video on how to perform an analysis of variance (ANOVA) using the R programming language.

Check out the video: https://www.youtube.com/watch?v=b2KmIWGQkrU

This video is also a preview of the upcoming Statistics Globe online course, "Statistical Methods in R," which starts on September 9.

Check out the course: https://statisticsglobe.com/online-course-statistical-methods-r

#statistics #anova #hypothesistesting #datascience #rstats

Call me old fashioned, but this feels like a straight up bait-and-switch. Want your smart devices to stay connected? Gotta go out and buy new ones.

#anova #internetofshit

https://support.anovaculinary.com/hc/en-us/articles/27322197681165-The-Original-Anova-Precision-Cooker-Bluetooth-Bluetooth-WIFI-remote-connectivity-sunsetting?

Call me old fashioned, but this feels like a straight up bait-and-switch. Want your smart devices to stay connected? Gotta go out and buy new ones.

#anova #internetofshit

https://support.anovaculinary.com/hc/en-us/articles/27322197681165-The-Original-Anova-Precision-Cooker-Bluetooth-Bluetooth-WIFI-remote-connectivity-sunsetting?

Call me old fashioned, but this feels like a straight up bait-and-switch. Want your smart devices to stay connected? Gotta go out and buy new ones.

#anova #internetofshit

https://support.anovaculinary.com/hc/en-us/articles/27322197681165-The-Original-Anova-Precision-Cooker-Bluetooth-Bluetooth-WIFI-remote-connectivity-sunsetting?