data_mimicHeartSteps: A synthetic data set that mimics the HeartSteps V1 data...

In MRTAnalysis: Assessing Proximal, Distal, and Mediated Causal Excursion Effects for Micro-Randomized Trials

A synthetic data set that mimics the HeartSteps V1 data structure to illustrate the use of [wcls()] function for continuous proximal outcomes

Description

A synthetic data set that mimics the HeartSteps V1 data structure to illustrate the use of [wcls()] function for continuous proximal outcomes

Usage

data_mimicHeartSteps

Format

a data frame with 7770 observations and 9 variables

userid

individual id number

time

decision point index

day_in_study

day in the study

logstep_30min

proximal outcome: the step count in the 30 minutes following the current decision point (log-transformed)

logstep_30min_lag1

proximal outcome at the previous decision point (lag-1 outcome): the step count in the 30 minutes following the previous decision point (log-transformed)

logstep_pre30min

the step count in the 30 minutes prior to the current decision point (log-transformed); used as a control variable

is_at_home_or_work

whether the individual is at home or work (=1) or at other locations (=0) at the current decision point

intervention

whether the intervention is randomized to be delivered (=1) or not (=0) at the current decision point

rand_prob

the randomization probability P(A=1) for the current decision point

availability

whether the individual is available (=1) or not (=0) at the current decision point

MRTAnalysis documentation built on Sept. 9, 2025, 5:41 p.m.