Evaluating federal policies using Bayesian time series models: estimating the causal impact of the hospital readmissions reduction program Article Swipe
Georgia Papadogeorgou
,
Fiammetta Menchetti
,
Christine Choirat
,
Jason H. Wasfy
,
Corwin Zigler
,
Fabrizia Mealli
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1007/s10742-022-00294-8
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1007/s10742-022-00294-8
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1007/s10742-022-00294-8
- OA Status
- green
- Cited By
- 4
- References
- 43
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4313574616
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4313574616Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1007/s10742-022-00294-8Digital Object Identifier
- Title
-
Evaluating federal policies using Bayesian time series models: estimating the causal impact of the hospital readmissions reduction programWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-01-05Full publication date if available
- Authors
-
Georgia Papadogeorgou, Fiammetta Menchetti, Christine Choirat, Jason H. Wasfy, Corwin Zigler, Fabrizia MealliList of authors in order
- Landing page
-
https://doi.org/10.1007/s10742-022-00294-8Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://infoscience.epfl.ch/record/299882Direct OA link when available
- Concepts
-
Bayesian probability, Point estimation, Medicine, Population, Health services research, Econometrics, Actuarial science, Statistics, Computer science, Public health, Artificial intelligence, Mathematics, Economics, Nursing, Environmental healthTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
4Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2024: 3Per-year citation counts (last 5 years)
- References (count)
-
43Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4313574616 |
|---|---|
| doi | https://doi.org/10.1007/s10742-022-00294-8 |
| ids.doi | https://doi.org/10.1007/s10742-022-00294-8 |
| ids.pmid | https://pubmed.ncbi.nlm.nih.gov/39866244 |
| ids.openalex | https://openalex.org/W4313574616 |
| fwci | 2.55423681 |
| type | article |
| title | Evaluating federal policies using Bayesian time series models: estimating the causal impact of the hospital readmissions reduction program |
| awards[0].id | https://openalex.org/G2340546285 |
| awards[0].funder_id | https://openalex.org/F4320306107 |
| awards[0].display_name | |
| awards[0].funder_award_id | 83615601 |
| awards[0].funder_display_name | U.S. Environmental Protection Agency |
| awards[1].id | https://openalex.org/G5736557033 |
| awards[1].funder_id | https://openalex.org/F4320306372 |
| awards[1].display_name | |
| awards[1].funder_award_id | KL2 TR001100 |
| awards[1].funder_display_name | Health Effects Institute |
| awards[2].id | https://openalex.org/G8202914582 |
| awards[2].funder_id | https://openalex.org/F4320306372 |
| awards[2].display_name | |
| awards[2].funder_award_id | 4953- RFA14-3/16-4 |
| awards[2].funder_display_name | Health Effects Institute |
| awards[3].id | https://openalex.org/G2216076849 |
| awards[3].funder_id | https://openalex.org/F4320332161 |
| awards[3].display_name | |
| awards[3].funder_award_id | R01 ES028033 |
| awards[3].funder_display_name | National Institutes of Health |
| awards[4].id | https://openalex.org/G6738686604 |
| awards[4].funder_id | https://openalex.org/F4320332161 |
| awards[4].display_name | |
| awards[4].funder_award_id | DP2MD012722 |
| awards[4].funder_display_name | National Institutes of Health |
| awards[5].id | https://openalex.org/G6059299709 |
| awards[5].funder_id | https://openalex.org/F4320306230 |
| awards[5].display_name | |
| awards[5].funder_award_id | 18CDA34110215 |
| awards[5].funder_display_name | American Heart Association |
| biblio.issue | 4 |
| biblio.volume | 23 |
| biblio.last_page | 451 |
| biblio.first_page | 433 |
| topics[0].id | https://openalex.org/T10845 |
| topics[0].field.id | https://openalex.org/fields/26 |
| topics[0].field.display_name | Mathematics |
| topics[0].score | 0.9916999936103821 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2613 |
| topics[0].subfield.display_name | Statistics and Probability |
| topics[0].display_name | Advanced Causal Inference Techniques |
| topics[1].id | https://openalex.org/T10391 |
| topics[1].field.id | https://openalex.org/fields/20 |
| topics[1].field.display_name | Economics, Econometrics and Finance |
| topics[1].score | 0.982699990272522 |
| topics[1].domain.id | https://openalex.org/domains/2 |
| topics[1].domain.display_name | Social Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2002 |
| topics[1].subfield.display_name | Economics and Econometrics |
| topics[1].display_name | Healthcare Policy and Management |
| topics[2].id | https://openalex.org/T12781 |
| topics[2].field.id | https://openalex.org/fields/36 |
| topics[2].field.display_name | Health Professions |
| topics[2].score | 0.9781000018119812 |
| topics[2].domain.id | https://openalex.org/domains/4 |
| topics[2].domain.display_name | Health Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/3600 |
| topics[2].subfield.display_name | General Health Professions |
| topics[2].display_name | Global Health Care Issues |
| funders[0].id | https://openalex.org/F4320306107 |
| funders[0].ror | https://ror.org/03tns0030 |
| funders[0].display_name | U.S. Environmental Protection Agency |
| funders[1].id | https://openalex.org/F4320306230 |
| funders[1].ror | https://ror.org/013kjyp64 |
| funders[1].display_name | American Heart Association |
| funders[2].id | https://openalex.org/F4320306372 |
| funders[2].ror | https://ror.org/000a1tn51 |
| funders[2].display_name | Health Effects Institute |
| funders[3].id | https://openalex.org/F4320332161 |
| funders[3].ror | https://ror.org/01cwqze88 |
| funders[3].display_name | National Institutes of Health |
| is_xpac | False |
| apc_list.value | 2590 |
| apc_list.currency | EUR |
| apc_list.value_usd | 3390 |
| apc_paid | |
| concepts[0].id | https://openalex.org/C107673813 |
| concepts[0].level | 2 |
| concepts[0].score | 0.5373507738113403 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q812534 |
| concepts[0].display_name | Bayesian probability |
| concepts[1].id | https://openalex.org/C41426520 |
| concepts[1].level | 2 |
| concepts[1].score | 0.5334928631782532 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q1192065 |
| concepts[1].display_name | Point estimation |
| concepts[2].id | https://openalex.org/C71924100 |
| concepts[2].level | 0 |
| concepts[2].score | 0.5070960521697998 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q11190 |
| concepts[2].display_name | Medicine |
| concepts[3].id | https://openalex.org/C2908647359 |
| concepts[3].level | 2 |
| concepts[3].score | 0.49502032995224 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q2625603 |
| concepts[3].display_name | Population |
| concepts[4].id | https://openalex.org/C2780877353 |
| concepts[4].level | 3 |
| concepts[4].score | 0.470355749130249 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q2518253 |
| concepts[4].display_name | Health services research |
| concepts[5].id | https://openalex.org/C149782125 |
| concepts[5].level | 1 |
| concepts[5].score | 0.4428979158401489 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q160039 |
| concepts[5].display_name | Econometrics |
| concepts[6].id | https://openalex.org/C162118730 |
| concepts[6].level | 1 |
| concepts[6].score | 0.37875279784202576 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q1128453 |
| concepts[6].display_name | Actuarial science |
| concepts[7].id | https://openalex.org/C105795698 |
| concepts[7].level | 1 |
| concepts[7].score | 0.34315961599349976 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q12483 |
| concepts[7].display_name | Statistics |
| concepts[8].id | https://openalex.org/C41008148 |
| concepts[8].level | 0 |
| concepts[8].score | 0.2914031147956848 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[8].display_name | Computer science |
| concepts[9].id | https://openalex.org/C138816342 |
| concepts[9].level | 2 |
| concepts[9].score | 0.2142390012741089 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q189603 |
| concepts[9].display_name | Public health |
| concepts[10].id | https://openalex.org/C154945302 |
| concepts[10].level | 1 |
| concepts[10].score | 0.19136455655097961 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[10].display_name | Artificial intelligence |
| concepts[11].id | https://openalex.org/C33923547 |
| concepts[11].level | 0 |
| concepts[11].score | 0.1269836723804474 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[11].display_name | Mathematics |
| concepts[12].id | https://openalex.org/C162324750 |
| concepts[12].level | 0 |
| concepts[12].score | 0.12286853790283203 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q8134 |
| concepts[12].display_name | Economics |
| concepts[13].id | https://openalex.org/C159110408 |
| concepts[13].level | 1 |
| concepts[13].score | 0.09711262583732605 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q121176 |
| concepts[13].display_name | Nursing |
| concepts[14].id | https://openalex.org/C99454951 |
| concepts[14].level | 1 |
| concepts[14].score | 0.0 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q932068 |
| concepts[14].display_name | Environmental health |
| keywords[0].id | https://openalex.org/keywords/bayesian-probability |
| keywords[0].score | 0.5373507738113403 |
| keywords[0].display_name | Bayesian probability |
| keywords[1].id | https://openalex.org/keywords/point-estimation |
| keywords[1].score | 0.5334928631782532 |
| keywords[1].display_name | Point estimation |
| keywords[2].id | https://openalex.org/keywords/medicine |
| keywords[2].score | 0.5070960521697998 |
| keywords[2].display_name | Medicine |
| keywords[3].id | https://openalex.org/keywords/population |
| keywords[3].score | 0.49502032995224 |
| keywords[3].display_name | Population |
| keywords[4].id | https://openalex.org/keywords/health-services-research |
| keywords[4].score | 0.470355749130249 |
| keywords[4].display_name | Health services research |
| keywords[5].id | https://openalex.org/keywords/econometrics |
| keywords[5].score | 0.4428979158401489 |
| keywords[5].display_name | Econometrics |
| keywords[6].id | https://openalex.org/keywords/actuarial-science |
| keywords[6].score | 0.37875279784202576 |
| keywords[6].display_name | Actuarial science |
| keywords[7].id | https://openalex.org/keywords/statistics |
| keywords[7].score | 0.34315961599349976 |
| keywords[7].display_name | Statistics |
| keywords[8].id | https://openalex.org/keywords/computer-science |
| keywords[8].score | 0.2914031147956848 |
| keywords[8].display_name | Computer science |
| keywords[9].id | https://openalex.org/keywords/public-health |
| keywords[9].score | 0.2142390012741089 |
| keywords[9].display_name | Public health |
| keywords[10].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[10].score | 0.19136455655097961 |
| keywords[10].display_name | Artificial intelligence |
| keywords[11].id | https://openalex.org/keywords/mathematics |
| keywords[11].score | 0.1269836723804474 |
| keywords[11].display_name | Mathematics |
| keywords[12].id | https://openalex.org/keywords/economics |
| keywords[12].score | 0.12286853790283203 |
| keywords[12].display_name | Economics |
| keywords[13].id | https://openalex.org/keywords/nursing |
| keywords[13].score | 0.09711262583732605 |
| keywords[13].display_name | Nursing |
| language | en |
| locations[0].id | doi:10.1007/s10742-022-00294-8 |
| locations[0].is_oa | False |
| locations[0].source.id | https://openalex.org/S24290265 |
| locations[0].source.issn | 1387-3741, 1572-9400 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | False |
| locations[0].source.issn_l | 1387-3741 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | Health Services and Outcomes Research Methodology |
| locations[0].source.host_organization | https://openalex.org/P4310319900 |
| locations[0].source.host_organization_name | Springer Science+Business Media |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310319900, https://openalex.org/P4310319965 |
| locations[0].source.host_organization_lineage_names | Springer Science+Business Media, Springer Nature |
| locations[0].license | |
| locations[0].pdf_url | |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Health Services and Outcomes Research Methodology |
| locations[0].landing_page_url | https://doi.org/10.1007/s10742-022-00294-8 |
| locations[1].id | pmid:39866244 |
| locations[1].is_oa | False |
| locations[1].source.id | https://openalex.org/S4306525036 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | PubMed |
| locations[1].source.host_organization | https://openalex.org/I1299303238 |
| locations[1].source.host_organization_name | National Institutes of Health |
| locations[1].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | publishedVersion |
| locations[1].raw_type | |
| locations[1].license_id | |
| locations[1].is_accepted | True |
| locations[1].is_published | True |
| locations[1].raw_source_name | Health services & outcomes research methodology |
| locations[1].landing_page_url | https://pubmed.ncbi.nlm.nih.gov/39866244 |
| locations[2].id | pmh:oai:cadmus.eui.eu:1814/77840 |
| locations[2].is_oa | False |
| locations[2].source.id | https://openalex.org/S4377196332 |
| locations[2].source.issn | |
| locations[2].source.type | repository |
| locations[2].source.is_oa | False |
| locations[2].source.issn_l | |
| locations[2].source.is_core | False |
| locations[2].source.is_in_doaj | False |
| locations[2].source.display_name | Cadmus - EUI Research Repository (European University Institute) |
| locations[2].source.host_organization | https://openalex.org/I874792244 |
| locations[2].source.host_organization_name | European University Institute |
| locations[2].source.host_organization_lineage | https://openalex.org/I874792244 |
| locations[2].license | |
| locations[2].pdf_url | |
| locations[2].version | submittedVersion |
| locations[2].raw_type | info:eu-repo/semantics/article |
| locations[2].license_id | |
| locations[2].is_accepted | False |
| locations[2].is_published | False |
| locations[2].raw_source_name | |
| locations[2].landing_page_url | https://hdl.handle.net/1814/77840 |
| locations[3].id | pmh:oai:flore.unifi.it:2158/1285205 |
| locations[3].is_oa | False |
| locations[3].source.id | https://openalex.org/S4306402033 |
| locations[3].source.issn | |
| locations[3].source.type | repository |
| locations[3].source.is_oa | False |
| locations[3].source.issn_l | |
| locations[3].source.is_core | False |
| locations[3].source.is_in_doaj | False |
| locations[3].source.display_name | Florence Research (University of Florence) |
| locations[3].source.host_organization | https://openalex.org/I45084792 |
| locations[3].source.host_organization_name | University of Florence |
| locations[3].source.host_organization_lineage | https://openalex.org/I45084792 |
| locations[3].license | |
| locations[3].pdf_url | |
| locations[3].version | submittedVersion |
| locations[3].raw_type | info:eu-repo/semantics/article |
| locations[3].license_id | |
| locations[3].is_accepted | False |
| locations[3].is_published | False |
| locations[3].raw_source_name | |
| locations[3].landing_page_url | https://hdl.handle.net/2158/1285205 |
| locations[4].id | pmh:oai:infoscience.epfl.ch:299882 |
| locations[4].is_oa | True |
| locations[4].source.id | https://openalex.org/S4306400487 |
| locations[4].source.issn | |
| locations[4].source.type | repository |
| locations[4].source.is_oa | True |
| locations[4].source.issn_l | |
| locations[4].source.is_core | False |
| locations[4].source.is_in_doaj | False |
| locations[4].source.display_name | Infoscience (Ecole Polytechnique Fédérale de Lausanne) |
| locations[4].source.host_organization | |
| locations[4].source.host_organization_name | |
| locations[4].license | cc-by-nc-nd |
| locations[4].pdf_url | |
| locations[4].version | submittedVersion |
| locations[4].raw_type | research article |
| locations[4].license_id | https://openalex.org/licenses/cc-by-nc-nd |
| locations[4].is_accepted | False |
| locations[4].is_published | False |
| locations[4].raw_source_name | |
| locations[4].landing_page_url | http://infoscience.epfl.ch/record/299882 |
| locations[5].id | pmh:oai:pubmedcentral.nih.gov:11758246 |
| locations[5].is_oa | True |
| locations[5].source.id | https://openalex.org/S2764455111 |
| locations[5].source.issn | |
| locations[5].source.type | repository |
| locations[5].source.is_oa | False |
| locations[5].source.issn_l | |
| locations[5].source.is_core | False |
| locations[5].source.is_in_doaj | False |
| locations[5].source.display_name | PubMed Central |
| locations[5].source.host_organization | https://openalex.org/I1299303238 |
| locations[5].source.host_organization_name | National Institutes of Health |
| locations[5].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[5].license | |
| locations[5].pdf_url | |
| locations[5].version | submittedVersion |
| locations[5].raw_type | Text |
| locations[5].license_id | |
| locations[5].is_accepted | False |
| locations[5].is_published | False |
| locations[5].raw_source_name | Health Serv Outcomes Res Methodol |
| locations[5].landing_page_url | https://www.ncbi.nlm.nih.gov/pmc/articles/11758246 |
| indexed_in | crossref, pubmed |
| authorships[0].author.id | https://openalex.org/A5045391894 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-1982-2245 |
| authorships[0].author.display_name | Georgia Papadogeorgou |
| authorships[0].countries | US |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I33213144 |
| authorships[0].affiliations[0].raw_affiliation_string | Department of Statistics, University of Florida, Gainesville, FL, USA |
| authorships[0].institutions[0].id | https://openalex.org/I33213144 |
| authorships[0].institutions[0].ror | https://ror.org/02y3ad647 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I33213144 |
| authorships[0].institutions[0].country_code | US |
| authorships[0].institutions[0].display_name | University of Florida |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Georgia Papadogeorgou |
| authorships[0].is_corresponding | True |
| authorships[0].raw_affiliation_strings | Department of Statistics, University of Florida, Gainesville, FL, USA |
| authorships[1].author.id | https://openalex.org/A5057821525 |
| authorships[1].author.orcid | https://orcid.org/0000-0003-3463-0206 |
| authorships[1].author.display_name | Fiammetta Menchetti |
| authorships[1].countries | IT |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I45084792 |
| authorships[1].affiliations[0].raw_affiliation_string | DiSIA and Florence Center for Data Science, University of Florence, Florence, Italy |
| authorships[1].institutions[0].id | https://openalex.org/I45084792 |
| authorships[1].institutions[0].ror | https://ror.org/04jr1s763 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I45084792 |
| authorships[1].institutions[0].country_code | IT |
| authorships[1].institutions[0].display_name | University of Florence |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Fiammetta Menchetti |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | DiSIA and Florence Center for Data Science, University of Florence, Florence, Italy |
| authorships[2].author.id | https://openalex.org/A5033950624 |
| authorships[2].author.orcid | https://orcid.org/0000-0002-3745-9718 |
| authorships[2].author.display_name | Christine Choirat |
| authorships[2].countries | CH |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I114457229, https://openalex.org/I35440088, https://openalex.org/I4210122261, https://openalex.org/I5124864 |
| authorships[2].affiliations[0].raw_affiliation_string | Swiss Data Science Center, ETH Zürich and EPFL, Lausanne & Institute of Global Health, Faculty of medicine, University of Geneva, Geneva, Switzerland |
| authorships[2].institutions[0].id | https://openalex.org/I35440088 |
| authorships[2].institutions[0].ror | https://ror.org/05a28rw58 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I2799323385, https://openalex.org/I35440088 |
| authorships[2].institutions[0].country_code | CH |
| authorships[2].institutions[0].display_name | ETH Zurich |
| authorships[2].institutions[1].id | https://openalex.org/I4210122261 |
| authorships[2].institutions[1].ror | https://ror.org/02hdt9m26 |
| authorships[2].institutions[1].type | education |
| authorships[2].institutions[1].lineage | https://openalex.org/I2799323385, https://openalex.org/I35440088, https://openalex.org/I4210122261, https://openalex.org/I5124864 |
| authorships[2].institutions[1].country_code | CH |
| authorships[2].institutions[1].display_name | Swiss Data Science Center |
| authorships[2].institutions[2].id | https://openalex.org/I114457229 |
| authorships[2].institutions[2].ror | https://ror.org/01swzsf04 |
| authorships[2].institutions[2].type | education |
| authorships[2].institutions[2].lineage | https://openalex.org/I114457229 |
| authorships[2].institutions[2].country_code | CH |
| authorships[2].institutions[2].display_name | University of Geneva |
| authorships[2].institutions[3].id | https://openalex.org/I5124864 |
| authorships[2].institutions[3].ror | https://ror.org/02s376052 |
| authorships[2].institutions[3].type | education |
| authorships[2].institutions[3].lineage | https://openalex.org/I2799323385, https://openalex.org/I5124864 |
| authorships[2].institutions[3].country_code | CH |
| authorships[2].institutions[3].display_name | École Polytechnique Fédérale de Lausanne |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Christine Choirat |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Swiss Data Science Center, ETH Zürich and EPFL, Lausanne & Institute of Global Health, Faculty of medicine, University of Geneva, Geneva, Switzerland |
| authorships[3].author.id | https://openalex.org/A5073645809 |
| authorships[3].author.orcid | https://orcid.org/0000-0002-0871-5970 |
| authorships[3].author.display_name | Jason H. Wasfy |
| authorships[3].countries | US |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I136199984, https://openalex.org/I4210087915 |
| authorships[3].affiliations[0].raw_affiliation_string | Cardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA |
| authorships[3].institutions[0].id | https://openalex.org/I136199984 |
| authorships[3].institutions[0].ror | https://ror.org/03vek6s52 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I136199984 |
| authorships[3].institutions[0].country_code | US |
| authorships[3].institutions[0].display_name | Harvard University |
| authorships[3].institutions[1].id | https://openalex.org/I4210087915 |
| authorships[3].institutions[1].ror | https://ror.org/002pd6e78 |
| authorships[3].institutions[1].type | healthcare |
| authorships[3].institutions[1].lineage | https://openalex.org/I4210087915, https://openalex.org/I48633490 |
| authorships[3].institutions[1].country_code | US |
| authorships[3].institutions[1].display_name | Massachusetts General Hospital |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Jason H. Wasfy |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Cardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA |
| authorships[4].author.id | https://openalex.org/A5041659819 |
| authorships[4].author.orcid | https://orcid.org/0000-0002-9611-5894 |
| authorships[4].author.display_name | Corwin Zigler |
| authorships[4].countries | US |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I86519309 |
| authorships[4].affiliations[0].raw_affiliation_string | Department of Statistics and Data Sciences, Department of Women's Health, University of Texas at Austin, Austin, TX, USA |
| authorships[4].institutions[0].id | https://openalex.org/I86519309 |
| authorships[4].institutions[0].ror | https://ror.org/00hj54h04 |
| authorships[4].institutions[0].type | education |
| authorships[4].institutions[0].lineage | https://openalex.org/I86519309 |
| authorships[4].institutions[0].country_code | US |
| authorships[4].institutions[0].display_name | The University of Texas at Austin |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Corwin M. Zigler |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | Department of Statistics and Data Sciences, Department of Women's Health, University of Texas at Austin, Austin, TX, USA |
| authorships[5].author.id | https://openalex.org/A5008377271 |
| authorships[5].author.orcid | https://orcid.org/0000-0002-1076-9249 |
| authorships[5].author.display_name | Fabrizia Mealli |
| authorships[5].countries | IT |
| authorships[5].affiliations[0].institution_ids | https://openalex.org/I45084792, https://openalex.org/I874792244 |
| authorships[5].affiliations[0].raw_affiliation_string | Department of Economics, University of Florence, DiSIA and Florence Center for Data Science, and European University Institute, Florence, Italy |
| authorships[5].institutions[0].id | https://openalex.org/I874792244 |
| authorships[5].institutions[0].ror | https://ror.org/0031wrj91 |
| authorships[5].institutions[0].type | education |
| authorships[5].institutions[0].lineage | https://openalex.org/I874792244 |
| authorships[5].institutions[0].country_code | IT |
| authorships[5].institutions[0].display_name | European University Institute |
| authorships[5].institutions[1].id | https://openalex.org/I45084792 |
| authorships[5].institutions[1].ror | https://ror.org/04jr1s763 |
| authorships[5].institutions[1].type | education |
| authorships[5].institutions[1].lineage | https://openalex.org/I45084792 |
| authorships[5].institutions[1].country_code | IT |
| authorships[5].institutions[1].display_name | University of Florence |
| authorships[5].author_position | last |
| authorships[5].raw_author_name | Fabrizia Mealli |
| authorships[5].is_corresponding | False |
| authorships[5].raw_affiliation_strings | Department of Economics, University of Florence, DiSIA and Florence Center for Data Science, and European University Institute, Florence, Italy |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | http://infoscience.epfl.ch/record/299882 |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Evaluating federal policies using Bayesian time series models: estimating the causal impact of the hospital readmissions reduction program |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10845 |
| primary_topic.field.id | https://openalex.org/fields/26 |
| primary_topic.field.display_name | Mathematics |
| primary_topic.score | 0.9916999936103821 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2613 |
| primary_topic.subfield.display_name | Statistics and Probability |
| primary_topic.display_name | Advanced Causal Inference Techniques |
| related_works | https://openalex.org/W2125733663, https://openalex.org/W3011273868, https://openalex.org/W1915153037, https://openalex.org/W2054730750, https://openalex.org/W3200949300, https://openalex.org/W3044993392, https://openalex.org/W1550105798, https://openalex.org/W2057552560, https://openalex.org/W2076390889, https://openalex.org/W40099239 |
| cited_by_count | 4 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 1 |
| counts_by_year[1].year | 2024 |
| counts_by_year[1].cited_by_count | 3 |
| locations_count | 6 |
| best_oa_location.id | pmh:oai:infoscience.epfl.ch:299882 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4306400487 |
| best_oa_location.source.issn | |
| best_oa_location.source.type | repository |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | Infoscience (Ecole Polytechnique Fédérale de Lausanne) |
| best_oa_location.source.host_organization | |
| best_oa_location.source.host_organization_name | |
| best_oa_location.license | cc-by-nc-nd |
| best_oa_location.pdf_url | |
| best_oa_location.version | submittedVersion |
| best_oa_location.raw_type | research article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by-nc-nd |
| best_oa_location.is_accepted | False |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | |
| best_oa_location.landing_page_url | http://infoscience.epfl.ch/record/299882 |
| primary_location.id | doi:10.1007/s10742-022-00294-8 |
| primary_location.is_oa | False |
| primary_location.source.id | https://openalex.org/S24290265 |
| primary_location.source.issn | 1387-3741, 1572-9400 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | False |
| primary_location.source.issn_l | 1387-3741 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | Health Services and Outcomes Research Methodology |
| primary_location.source.host_organization | https://openalex.org/P4310319900 |
| primary_location.source.host_organization_name | Springer Science+Business Media |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310319900, https://openalex.org/P4310319965 |
| primary_location.source.host_organization_lineage_names | Springer Science+Business Media, Springer Nature |
| primary_location.license | |
| primary_location.pdf_url | |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Health Services and Outcomes Research Methodology |
| primary_location.landing_page_url | https://doi.org/10.1007/s10742-022-00294-8 |
| publication_date | 2023-01-05 |
| publication_year | 2023 |
| referenced_works | https://openalex.org/W2171656257, https://openalex.org/W3125057276, https://openalex.org/W2331253396, https://openalex.org/W4229737049, https://openalex.org/W3125512578, https://openalex.org/W4213165416, https://openalex.org/W2964019528, https://openalex.org/W2078639378, https://openalex.org/W3123707900, https://openalex.org/W2067493161, https://openalex.org/W2133992176, https://openalex.org/W2964137807, https://openalex.org/W2564349466, https://openalex.org/W2739425927, https://openalex.org/W2952220587, https://openalex.org/W2762937579, https://openalex.org/W2910414696, https://openalex.org/W4248681815, https://openalex.org/W3168963848, https://openalex.org/W2767609838, https://openalex.org/W2921047388, https://openalex.org/W3150893739, https://openalex.org/W2317337899, https://openalex.org/W2048707050, https://openalex.org/W2892387255, https://openalex.org/W4285781714, https://openalex.org/W2050517440, https://openalex.org/W2374989452, https://openalex.org/W2048939607, https://openalex.org/W2904460083, https://openalex.org/W3138970751, https://openalex.org/W2905951279, https://openalex.org/W2110132657, https://openalex.org/W2565370336, https://openalex.org/W3125240265, https://openalex.org/W2967973304, https://openalex.org/W4206191101, https://openalex.org/W2309139110, https://openalex.org/W4297888513, https://openalex.org/W3100124730, https://openalex.org/W4399530781, https://openalex.org/W4233160357, https://openalex.org/W2140971281 |
| referenced_works_count | 43 |
| abstract_inverted_index | |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 91 |
| corresponding_author_ids | https://openalex.org/A5045391894 |
| countries_distinct_count | 3 |
| institutions_distinct_count | 6 |
| corresponding_institution_ids | https://openalex.org/I33213144 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.8100000023841858 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.82542005 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |