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larmarange avatar larmarange commented on July 20, 2024

Experimental support has been added to PR #243

Please note that you need to indicate exponentiate = TRUE

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jalavery avatar jalavery commented on July 20, 2024

Fantastic, thank you for such a quick update @larmarange!

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jalavery avatar jalavery commented on July 20, 2024

I re-ran the test example, and it looks like even with exponentiate = TRUE, the values displayed on the table are the un-exponentiated values. Would you mind please looking into this whenever you have a chance? Thank you!

library(survival)
#> Warning: package 'survival' was built under R version 4.1.3
library(gtsummary)
#> Warning: package 'gtsummary' was built under R version 4.1.3

# case-cohort model using the survival::cch function
# example from survival::cch()

## The complete Wilms Tumor Data
## (Breslow and Chatterjee, Applied Statistics, 1999)
## subcohort selected by simple random sampling.
##

subcoh <- nwtco$in.subcohort
selccoh <- with(nwtco, rel==1|subcoh==1)
ccoh.data <- nwtco[selccoh,]
ccoh.data$subcohort <- subcoh[selccoh]
## central-lab histology
ccoh.data$histol <- factor(ccoh.data$histol,labels=c("FH","UH"))
## tumour stage
ccoh.data$stage <- factor(ccoh.data$stage,labels=c("I","II","III","IV"))
ccoh.data$age <- ccoh.data$age/12 # Age in years

##
## Standard case-cohort analysis: simple random subcohort
##

fit.ccP <- cch(Surv(edrel, rel) ~ stage + histol + age, data =ccoh.data,
               subcoh = ~subcohort, id=~seqno, cohort.size=4028)


summary(fit.ccP)
#> Case-cohort analysis,x$method, Prentice 
#>  with subcohort of 668 from cohort of 4028 
#> 
#> Call: cch(formula = Surv(edrel, rel) ~ stage + histol + age, data = ccoh.data, 
#>     subcoh = ~subcohort, id = ~seqno, cohort.size = 4028)
#> 
#> Coefficients:
#>           Coef    HR  (95%   CI)     p
#> stageII  0.735 2.085 1.498 2.900 0.000
#> stageIII 0.597 1.817 1.293 2.552 0.001
#> stageIV  1.384 3.991 2.672 5.963 0.000
#> histolUH 1.498 4.473 3.271 6.117 0.000
#> age      0.043 1.044 0.997 1.094 0.068


# tidy model output: success
broom::tidy(fit.ccP)
#> # A tibble: 5 x 7
#>   term     estimate std.error statistic  p.value conf.low conf.high
#>   <chr>       <dbl>     <dbl>     <dbl>    <dbl>    <dbl>     <dbl>
#> 1 stageII    0.735     0.168       4.36 1.30e- 5  0.404      1.06  
#> 2 stageIII   0.597     0.173       3.44 5.77e- 4  0.257      0.937 
#> 3 stageIV    1.38      0.205       6.76 1.40e-11  0.983      1.79  
#> 4 histolUH   1.50      0.160       9.38 0         1.19       1.81  
#> 5 age        0.0433    0.0237      1.82 6.83e- 2 -0.00324    0.0898

# this now runs
broom.helpers::tidy_plus_plus(fit.ccP, exponentiate = TRUE) %>% 
  select(term, label, estimate)
#> # A tibble: 7 x 3
#>   term     label estimate
#>   <chr>    <chr>    <dbl>
#> 1 stageI   I       1     
#> 2 stageII  II      0.735 
#> 3 stageIII III     0.597 
#> 4 stageIV  IV      1.38  
#> 5 histolFH FH      1     
#> 6 histolUH UH      1.50  
#> 7 age      age     0.0433

# however, the log(HR) is being displayed as the HR, and the exponentiation seems to not be working
# HR for stage II should be exp(0.74) = 2.08 based on summary(fit.ccP)
# gtsummary::tbl_regression(fit.ccP, exponentiate = TRUE)

Created on 2024-01-24 with reprex v2.0.2

Session info
sessioninfo::session_info()
#> - Session info ---------------------------------------------------------------
#>  setting  value
#>  version  R version 4.1.2 (2021-11-01)
#>  os       Windows 10 x64 (build 19045)
#>  system   x86_64, mingw32
#>  ui       RTerm
#>  language (EN)
#>  collate  English_United States.1252
#>  ctype    English_United States.1252
#>  tz       America/New_York
#>  date     2024-01-24
#>  pandoc   3.1.1 @ C:/Program Files/RStudio/resources/app/bin/quarto/bin/tools/ (via rmarkdown)
#> 
#> - Packages -------------------------------------------------------------------
#>  package       * version     date (UTC) lib source
#>  backports       1.4.1       2021-12-13 [1] CRAN (R 4.1.2)
#>  broom           1.0.5       2023-06-09 [1] CRAN (R 4.1.2)
#>  broom.helpers   1.14.0.9000 2024-01-24 [1] local
#>  cli             3.4.1       2022-09-23 [1] CRAN (R 4.1.3)
#>  colorspace      2.1-0       2023-01-23 [1] CRAN (R 4.1.3)
#>  digest          0.6.30      2022-10-18 [1] CRAN (R 4.1.3)
#>  dplyr           1.1.0       2023-01-29 [1] CRAN (R 4.1.3)
#>  ellipsis        0.3.2       2021-04-29 [1] CRAN (R 4.0.5)
#>  evaluate        0.20        2023-01-17 [1] CRAN (R 4.1.3)
#>  fansi           1.0.4       2023-01-22 [1] CRAN (R 4.1.3)
#>  fastmap         1.1.0       2021-01-25 [1] CRAN (R 4.0.5)
#>  forcats         1.0.0       2023-01-29 [1] CRAN (R 4.1.3)
#>  fs              1.5.2       2021-12-08 [1] CRAN (R 4.1.3)
#>  generics        0.1.3       2022-07-05 [1] CRAN (R 4.1.3)
#>  ggplot2         3.4.1       2023-02-10 [1] CRAN (R 4.1.3)
#>  glue            1.6.2       2022-02-24 [1] CRAN (R 4.1.2)
#>  gt              0.8.0       2022-11-16 [1] CRAN (R 4.1.3)
#>  gtable          0.3.1       2022-09-01 [1] CRAN (R 4.1.3)
#>  gtsummary     * 1.7.0       2023-01-13 [1] CRAN (R 4.1.3)
#>  haven           2.5.2       2023-02-28 [1] CRAN (R 4.1.3)
#>  hms             1.1.2       2022-08-19 [1] CRAN (R 4.1.3)
#>  htmltools       0.5.3       2022-07-18 [1] CRAN (R 4.1.3)
#>  knitr           1.42        2023-01-25 [1] CRAN (R 4.1.3)
#>  labelled        2.10.0      2022-09-14 [1] CRAN (R 4.1.3)
#>  lattice         0.20-45     2021-09-22 [1] CRAN (R 4.1.2)
#>  lifecycle       1.0.3       2022-10-07 [1] CRAN (R 4.1.3)
#>  magrittr        2.0.3       2022-03-30 [1] CRAN (R 4.1.3)
#>  Matrix          1.5-3       2022-11-11 [1] CRAN (R 4.1.3)
#>  munsell         0.5.0       2018-06-12 [1] CRAN (R 4.0.0)
#>  pillar          1.8.1       2022-08-19 [1] CRAN (R 4.1.3)
#>  pkgconfig       2.0.3       2019-09-22 [1] CRAN (R 4.0.0)
#>  purrr           1.0.1       2023-01-10 [1] CRAN (R 4.1.3)
#>  R.cache         0.16.0      2022-07-21 [1] CRAN (R 4.1.3)
#>  R.methodsS3     1.8.2       2022-06-13 [1] CRAN (R 4.1.3)
#>  R.oo            1.25.0      2022-06-12 [1] CRAN (R 4.1.3)
#>  R.utils         2.12.2      2022-11-11 [1] CRAN (R 4.1.3)
#>  R6              2.5.1       2021-08-19 [1] CRAN (R 4.1.1)
#>  reprex          2.0.2       2022-08-17 [1] CRAN (R 4.1.3)
#>  rlang           1.1.1       2023-04-28 [1] CRAN (R 4.1.2)
#>  rmarkdown       2.23        2023-07-01 [1] CRAN (R 4.1.2)
#>  rstudioapi      0.14        2022-08-22 [1] CRAN (R 4.1.3)
#>  scales          1.2.1       2022-08-20 [1] CRAN (R 4.1.3)
#>  sessioninfo     1.2.2       2021-12-06 [1] CRAN (R 4.1.3)
#>  stringi         1.7.6       2021-11-29 [1] CRAN (R 4.1.2)
#>  stringr         1.5.0       2022-12-02 [1] CRAN (R 4.1.3)
#>  styler          1.8.1       2022-11-07 [1] CRAN (R 4.1.3)
#>  survival      * 3.4-0       2022-08-09 [1] CRAN (R 4.1.3)
#>  tibble          3.1.8       2022-07-22 [1] CRAN (R 4.1.3)
#>  tidyr           1.3.0       2023-01-24 [1] CRAN (R 4.1.3)
#>  tidyselect      1.2.0       2022-10-10 [1] CRAN (R 4.1.2)
#>  utf8            1.2.3       2023-01-31 [1] CRAN (R 4.1.3)
#>  vctrs           0.6.3       2023-06-14 [1] CRAN (R 4.1.2)
#>  withr           2.5.0       2022-03-03 [1] CRAN (R 4.1.2)
#>  xfun            0.37        2023-01-31 [1] CRAN (R 4.1.3)
#>  yaml            2.3.7       2023-01-23 [1] CRAN (R 4.1.3)
#> 
#>  [1] C:/Program Files/R/R-4.1.2/library
#> 
#> ------------------------------------------------------------------------------

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larmarange avatar larmarange commented on July 20, 2024

Sorry. There was an error in the implementation. Could you check the last version. Now exponentiate is optionnal.

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jalavery avatar jalavery commented on July 20, 2024

Success! Thank you very much.

from broom.helpers.

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