This vignette contains some example data used in the other vignettes.
ex_people
contains 100 patients (with random names from the randomNames
package) who received total hip arthroplasty (THA) surgery at given (random) dates (surgery
column). This data represent a sample from a national quality register.
See also ?ex_people
.
ex_people
#> # A tibble: 100 x 2
#> name surgery
#> <chr> <date>
#> 1 Chen, Trevor 2021-01-19
#> 2 Graves, Acineth 2020-10-11
#> 3 Trujillo, Yanelly 2020-09-28
#> 4 Simpson, Kenneth 2020-12-31
#> 5 Chin, Nelson 2020-12-14
#> 6 Le, Christina 2020-07-18
#> 7 Kang, Xuan 2020-10-20
#> 8 Shuemaker, Lauren 2020-07-19
#> 9 Boucher, Teresa 2020-12-25
#> 10 Le, Soraiya 2020-11-29
#> # … with 90 more rows
We are interested in comorbidity for the patients above and have collected some synthesized diagnostics data (ex_icd10
) from a national patient register (we can at least assume that for now). Patients have one entry for every combination of recorded diagnoses codes according to the International classification of diseases version 10, icd10
, and corresponding dates of hospital admission
s for which those codes were recorded. (Column hdia
is TRUE
for main diagnoses and FALSE
for underlying/less relevant codes).
See also ?ex_icd10
.
ex_icd10
#> # A tibble: 2,376 x 4
#> name admission icd10 hdia
#> <chr> <date> <chr> <lgl>
#> 1 Tran, Kenneth 2020-08-02 S134A FALSE
#> 2 Tran, Kenneth 2021-01-16 W3319 FALSE
#> 3 Tran, Kenneth 2020-12-26 Y0262 TRUE
#> 4 Tran, Kenneth 2020-11-18 X0488 FALSE
#> 5 Sommerville, Dominic 2021-01-07 V8104 FALSE
#> 6 Sommerville, Dominic 2020-08-18 B853 FALSE
#> 7 Sommerville, Dominic 2021-01-02 Q174 FALSE
#> 8 Sommerville, Dominic 2020-08-23 A227 FALSE
#> 9 Sommerville, Dominic 2020-12-28 H702 FALSE
#> 10 Sommerville, Dominic 2020-04-21 X6051 TRUE
#> # … with 2,366 more rows
Assume we have some external code data from a national prescription register. Such register would likely cover additional patients but let’s just consider a small sample with ATC codes for patients above, such that each patient can have zero, one, or several codes prescribed at different dates.
ex_atc
#> # A tibble: 10,000 x 3
#> name atc prescription
#> <chr> <chr> <date>
#> 1 Le, Soraiya L03AA16 2018-10-23
#> 2 Cleveland, Mark J07CA01 2016-07-02
#> 3 Santistevan, Charlie QJ57EA06 2011-12-12
#> 4 Meier, Hayden R03DB04 2017-04-13
#> 5 Hill, Audrey V09IA01 2014-09-26
#> 6 Thumma, Phillip L02AE02 2010-11-04
#> 7 Yost, Rebecca S01EB06 2015-03-29
#> 8 Mandakh, Joseph A03DA01 2016-10-30
#> 9 Meier, Hayden C09AA13 2019-04-21
#> 10 Trinh, Schuyler A07EA03 2021-02-18
#> # … with 9,990 more rows