Question

How does gtsummary produce confidence intervals and standard error statistics for glm models? (Code Examples Included)

score 215 · Answer 1 · 2025-01-06 07:25:36

215

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How does gtsummary produce confidence intervals and standard error statistics for glm models? (Code Examples Included)

Published on 06 January 2025 at 07:25

score 100 · Answer 2 · 2025-01-06 07:22:45

100

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set.seed() doesn't create identical outputs across different .rmd files?

Published on 06 January 2025 at 07:22

score 367 · Answer 3 · 2025-01-06 07:20:36

367

Views

calculating bootstrap resampling for grouped variables

Published on 06 January 2025 at 07:20

score 277 · Answer 4 · 2025-01-06 07:22:44

277

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Does rsample::bootstraps store data rather than just row indices?

Published on 06 January 2025 at 07:22

score 103 · Answer 5 · 2025-01-06 07:22:43

103

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Python how to convert monthly employment data into annual, csv, panda

Published on 06 January 2025 at 07:22

score 63 · Answer 6 · 2025-01-06 07:15:33

63

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Match Each Winner with a Unique Prize

Published on 06 January 2025 at 07:15

score 550 · Answer 7 · 2025-01-06 07:23:27

550

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Bootstrap resampling and tidy regression models with grouped/nested data

Published on 06 January 2025 at 07:23

score 291 · Answer 8 · 2025-01-06 07:25:35

291

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Calculate confidence intervals on and extract regression summary stats from tidy bootstrapped models on grouped data

Published on 06 January 2025 at 07:25

score 35 · Answer 9 · 2025-01-06 07:17:52

35

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Compute Gini Index on a nested/rsplit object

Published on 06 January 2025 at 07:17

score 317 · Answer 10 · 2025-01-06 07:17:05

317

Views

Block Bootstrapping using Tidymodels

Published on 06 January 2025 at 07:17

score 127 · Answer 11 · 2025-01-06 07:22:42

127

Views

How to speed up the tidymodels bootstrapping with parallelization

Published on 06 January 2025 at 07:22

score 118 · Answer 12 · 2025-01-06 15:47:43

118

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Using Yardstick to calculate RMSE for aggregate of predictions per group

Published on 06 January 2025 at 15:47

score 52 · Answer 13 · 2025-01-06 07:24:44

52

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Unnesting deep lists after applying the rolling_origin function from the rsample package

Published on 06 January 2025 at 07:24

score 634 · Answer 14 · 2025-01-06 07:20:35

634

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How to propotionally split data using initial_split r

Published on 06 January 2025 at 07:20

score 215 · Answer 15 · 2025-01-06 07:24:25

215

Views

Cannot Extract Information from glm model using tidy function from rsample package

Published on 06 January 2025 at 07:24

score 63 · Answer 16 · 2025-01-06 07:25:07

63

Views

Select a proportionate stratified random sample, where stratification is based on sites and gender

Published on 06 January 2025 at 07:25

List Question

How does gtsummary produce confidence intervals and standard error statistics for glm models? (Code Examples Included)

set.seed() doesn't create identical outputs across different .rmd files?

calculating bootstrap resampling for grouped variables

Does rsample::bootstraps store data rather than just row indices?

Python how to convert monthly employment data into annual, csv, panda

Match Each Winner with a Unique Prize

Bootstrap resampling and tidy regression models with grouped/nested data

Calculate confidence intervals on and extract regression summary stats from tidy bootstrapped models on grouped data

Compute Gini Index on a nested/rsplit object

Block Bootstrapping using Tidymodels

How to speed up the tidymodels bootstrapping with parallelization

Using Yardstick to calculate RMSE for aggregate of predictions per group

Unnesting deep lists after applying the rolling_origin function from the rsample package

How to propotionally split data using initial_split r

Cannot Extract Information from glm model using tidy function from rsample package

Select a proportionate stratified random sample, where stratification is based on sites and gender

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