Package index • MatchTime

Time-Dependent Matching

Perform, visualize and inspect time-dependent matching

match_time(): Matching for Causal Inference with Time-Dependent Treatments

method_brsm: Balanced Risk Set Matching

method_psm: Time-Dependent Propensity Score Matching

method_pgm: Time-Dependent Prognostic Score Matching

method_dsm: Time-Dependent Double Score Matching

method_greedy: Time-Dependent Greedy Selection of Controls

summary(<match_time>): View a balance summary of a match_time object

bal.tab(<match_time>): Display Balance Statistics in a Table for match_time objects

plot(<match_time>): Plot cumulative number of matched cases and controls

plot_flowchart(): Plot a flowchart of the sample size flow in a match_time object

plot_timeline(): Plot the time under observation for ids in a match_time object

get_match_data(): Construct a matched dataset from a match_time object

Adding Covariates

Adding variables or outcomes to matched data

add_outcome(): Add a Time-to-Event Outcome to a match_time object

add_next_time(): Add the next time of an event to a match_time object

add_previous_event(): Add an indicator whether an event was occuring at baseline to a match_time object

add_previous_event_count(): Add a count of the number of events occured before inclusion to a match_time object

add_from_start_stop(): Add information from start-stop data to a match_time object

Start-Stop Data

Creating and transforming start-stop data

merge_start_stop(): Merge two or more datasets in the start-stop format

simplify_start_stop(): Combines rows with the same values in start-stop data

subset_start_stop(): Subsetting start-stop format datasets

times_from_start_stop(): Extract "event" times from start-stop format datasets

long2start_stop(): Transform a long-format dataset into the start-stop format

start_stop2long(): Transform a start-stop dataset into the long-format

fill_gaps_start_stop(): Add missing intervals to incomplete start-stop data

Misc

fast_exact_matching(): Fast Exact Matching with a Binary Treatment

stratified_sample(): Fast Stratified Sampling from a data.table like object