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7 changes: 4 additions & 3 deletions README.md
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[![PyPI version](https://badge.fury.io/py/pySEQTarget.svg)](https://pypi.org/project/pySEQTarget) [![Downloads](https://static.pepy.tech/badge/pySEQTarget)](https://pepy.tech/project/pySEQTarget)[![codecov](https://codecov.io/gh/CausalInference/pySEQTarget/graph/badge.svg?token=DMOVJJUWXP)](https://codecov.io/gh/CausalInference/pySEQTarget)[![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](https://opensource.org/licenses/MIT)![versions](https://img.shields.io/pypi/pyversions/pySEQTarget.svg)
# pySEQTarget - Sequentially Nested Target Trial Emulation

Implementation of sequential trial emulation for the analysis of
observational databases. The SEQTaRget software accommodates
observational databases. The `SEQTaRget` software accommodates
time-varying treatments and confounders, as well as binary and failure
time outcomes. SEQTaRget allows to compare both static and dynamic
time outcomes. `SEQTaRget` allows to compare both static and dynamic
strategies, can be used to estimate observational analogs of
intention-to-treat and per-protocol effects, and can adjust for
potential selection bias.
Expand Down Expand Up @@ -52,5 +53,5 @@ model.collect() # Collection of important information
There are several key assumptions in this package -
1. User provided `time_col` begins at 0 per unique `id_col`, we also assume this column contains only integers and continues by 1 for every time step, e.g. (0, 1, 2, 3, 4, ...) is allowed and (0, 1, 2, 2.5, ...) or (0, 1, 4, 5) are not
1. Provided `time_col` entries may be out of order at intake as a sort is enforced at expansion.
2. `eligible_col`, `excused_column_names` and [TODO] are once 1, only 1 (with respect to `time_col`) flag variables.
2. `eligible_col` and elements of `excused_colnames` are once 1, only 1 (with respect to `time_col`) flag variables.