initial_data: Initial Data for imputing categorical covariates

In ImputeLongiCovs: Longitudinal Imputation of Categorical Variables via a Joint Transition Model

Initial Data for imputing categorical covariates

Description

A dataset containing longitudinal data. The outcome of interest is the smoking status with three states (smoker, exsmoker, neversmoker), which are represented via transitions.

Usage

data(initial_data)

Format

A data frame with 2000 rows and 9 variables

Details

• patient_id: Unique identifier for each patient

• tran_Year: numeric, starting from 1 up to the number of transitions

• transition_year: text explanation of the transition

• state_from: the state at the beginning of a transition

• state_to: the state at the end of a transition

• cardio_state_from: cardiovascular disease at the beginning of the transition, binary, if 1 == Yes, else No

• cardio_state_to: cardiovascular disease at the end of the transition, binary, if 1 == Yes, else No

• flu_vaccination_state_from: flu vaccination at the end of the transition, binary, if 1 == Yes, else No

• flu_vaccination_state_to: flu vaccination disease at the end of the transition, binary, if 1 == Yes, else No

ImputeLongiCovs documentation built on Oct. 6, 2023, 5:09 p.m.