medicaid_utils package
This package puts together commonly used preprocessing, variable construction & risk adjustment algorithms for medicaid data.
Subpackages
- medicaid_utils.adapted_algorithms package
- Subpackages
- medicaid_utils.adapted_algorithms.py_betos package
- medicaid_utils.adapted_algorithms.py_cdpsmrx package
- medicaid_utils.adapted_algorithms.py_ed_pqi package
- medicaid_utils.adapted_algorithms.py_elixhauser package
- medicaid_utils.adapted_algorithms.py_ip_pqi package
- medicaid_utils.adapted_algorithms.py_low_value_care package
- medicaid_utils.adapted_algorithms.py_nyu_billings package
- medicaid_utils.adapted_algorithms.py_pmca package
- Subpackages
- medicaid_utils.common_utils package
- Submodules
- medicaid_utils.common_utils.dataframe_utils module
- medicaid_utils.common_utils.links module
- medicaid_utils.common_utils.recipes module
- medicaid_utils.common_utils.stats_utils module
color_positive_green()
compute_contingency_table()
compute_descriptives()
compute_missing_stats()
compute_t_stats()
cramers_corrected_stat()
get_cont_table_statewise()
get_contingency_table()
get_covar_plots()
get_descriptives()
get_missingness_stats()
get_phi()
get_ranksum_table()
get_ranksum_table_statewise()
get_utilisation_histograms()
- medicaid_utils.common_utils.usps_address module
- medicaid_utils.filters package
- medicaid_utils.other_datasets package
- Submodules
- medicaid_utils.other_datasets.fqhc module
- medicaid_utils.other_datasets.hcris module
clean_address()
clean_hclinic_name()
clean_zip()
combine_and_clean_hcris_files()
compute_basic_match_purity()
compute_door_no_info()
compute_match_purity()
create_npi_fqhc_crosswalk()
filter_partial_matches()
flatten_nppes_query_result()
fuzzy_match()
get_taxonomies()
nppes_api_requests()
process_address_columns()
standardize_addresses()
street_address()
- medicaid_utils.other_datasets.npi module
- medicaid_utils.other_datasets.uds module
clean_address()
clean_hclinic_name()
clean_zip()
combine_and_clean_uds_files()
combine_uds_fqhc_npi_crosswalks()
compute_basic_match_purity()
compute_door_no_info()
compute_match_purity()
create_npi_fqhc_crosswalk()
filter_partial_matches()
flatten_nppes_query_result()
fuzzy_match()
generate_and_combine_fqhc_npi_crosswalks()
generate_bhcmisid_fqhc_crosswalk()
generate_oscar_fqhc_npis()
get_file_name_dict()
get_taxonomies()
nppes_api_requests()
process_address_columns()
standardize_addresses()
street_address()
- medicaid_utils.other_datasets.zip module
- medicaid_utils.preprocessing package
- Submodules
- medicaid_utils.preprocessing.max_cc module
- medicaid_utils.preprocessing.max_file module
- medicaid_utils.preprocessing.max_ip module
- medicaid_utils.preprocessing.max_ot module
- medicaid_utils.preprocessing.max_ps module
- medicaid_utils.preprocessing.taf_file module
TAFFile
TAFFile.cache_results()
TAFFile.clean()
TAFFile.clean_codes()
TAFFile.clean_diag_codes()
TAFFile.clean_ndc_codes()
TAFFile.clean_proc_codes()
TAFFile.export()
TAFFile.flag_duplicates()
TAFFile.flag_ffs_and_encounter_claims()
TAFFile.gather_bene_level_diag_ndc_codes()
TAFFile.get_claim_instance()
TAFFile.pq_export()
TAFFile.preprocess()
TAFFile.process_date_cols()
- medicaid_utils.preprocessing.taf_ip module
- medicaid_utils.preprocessing.taf_lt module
- medicaid_utils.preprocessing.taf_ot module
- medicaid_utils.preprocessing.taf_ps module
TAFPS
TAFPS.add_gender()
TAFPS.add_mas_boe()
TAFPS.add_risk_adjustment_scores()
TAFPS.clean()
TAFPS.compute_enrollment_gaps()
TAFPS.flag_common_exclusions()
TAFPS.flag_dual()
TAFPS.flag_ffs_months()
TAFPS.flag_managed_care_months()
TAFPS.flag_medicaid_enrolled_months()
TAFPS.flag_restricted_benefits()
TAFPS.flag_rural()
TAFPS.flag_tanf()
TAFPS.gather_bene_level_diag_ndc_codes()
TAFPS.preprocess()
- medicaid_utils.preprocessing.taf_rx module
- medicaid_utils.topics package