dat_cohort_mis: Simulated Cohort Data - with missing values

In tpc: Tiered PC Algorithm

Simulated Cohort Data - with missing values

Description

Data from dat_cohort with missing values.

Usage

dat_cohort_mis

Format

A data frame with 5000 observations and 34 variables (10 variables were measured at three time points each, denoted as "_t0", "_t1" and "_t2").

sex

Sex. Factor variable with levels "male" and "female".

country

Country of residence. Factor variable with levels "ITA", "EST", "CYP", "BEL", "SWE", "GER", "HUN" and "ESP".

fto

Genotype of one SNP located in the FTO gene. Ordinal variable with levels "TT", "AT", "AA".

birth_weight

Birth weight in grams (numeric).

age_t0

Age in years at survey 't0' (numeric).

age_t1

Age in years at survey 't1' (numeric).

age_t2

Age in years at survey 't2' (numeric).

bmi_t0

Body mass index z-score adjusted for sex and age at survey 't0' (numeric).

bmi_t1

Body mass index z-score adjusted for sex and age at survey 't1' (numeric).

bmi_t2

Body mass index z-score adjusted for sex and age at survey 't2' (numeric).

bodyfat_t0

Per cent body fat measured at survey 't0' (numeric).

bodyfat_t1

Per cent body fat measured at survey 't1' (numeric).

bodyfat_t2

Per cent body fat measured at survey 't2' (numeric).

education_t0

Educational level at survey 't0'. Ordinal variable with levels "low education", "medium education" and "high education".

education_t1

Educational level at survey 't1'. Ordinal variable with levels "low education", "medium education" and "high education".

education_t2

Educational level at survey 't2'. Ordinal variable with levels "low education", "medium education" and "high education".

fiber_t0

Fiber intake in log(mg/kcal) at survey 't0' (numeric).

fiber_t1

Fiber intake in log(mg/kcal) at survey 't1' (numeric).

fiber_t2

Fiber intake in log(mg/kcal) at survey 't2' (numeric).

media_devices_t0

Number of audiovisual media in the child's bedroom at survey 't0' (numeric).

media_devices_t1

Number of audiovisual media in the child's bedroom at survey 't1' (numeric).

media_devices_t2

Number of audiovisual media in the child's bedroom at survey 't2' (numeric).

media_time_t0

Use of audiovisual media in log(h/week+1) at survey 't0' (numeric)

media_time_t1

Use of audiovisual media in log(h/week+1) at survey 't1' (numeric)

media_time_t2

Use of audiovisual media in log(h/week+1) at survey 't2' (numeric)

mvpa_t0

Moderate to vigorous physical activity in sqrt(min/day) at survey 't0' (numeric).

mvpa_t1

Moderate to vigorous physical activity in sqrt(min/day) at survey 't1' (numeric).

mvpa_t2

Moderate to vigorous physical activity in sqrt(min/day) at survey 't2' (numeric).

sugar_t0

Square root of sugar intake score at survey 't0' (numeric).

sugar_t1

Square root of sugar intake score at survey 't1' (numeric).

sugar_t2

Square root of sugar intake score at survey 't2' (numeric).

wellbeing_t0

Box-Cox-transformed well-being score at survey 't0' (numeric).

wellbeing_t1

Box-Cox-transformed well-being score at survey 't1' (numeric).

wellbeing_t2

Box-Cox-transformed well-being score at survey 't2' (numeric).

References

Andrews RM, Foraita R, Witte J (2021). A practical guide to causal discovery with cohort data. <https://doi.org/10.48550/arXiv.2108.13395>

See Also

[tpc::dat_cohort()], [tpc::dat_cohort_dis()]

tpc documentation built on March 7, 2023, 7:18 p.m.