Propensity score analysis :: fundamentals and developments /
"This book is designed to help researchers better design and analyze observational data from quasi-experimental studies and improve the validity of research on causal claims. It provides clear guidance on the use of different propensity score analysis (PSA) methods, from the fundamentals to com...
Saved in:
| Other Authors: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
New York :
The Guilford Press,
2015.
|
| Subjects: | |
| Online Access: | DE-862 DE-863 |
| Summary: | "This book is designed to help researchers better design and analyze observational data from quasi-experimental studies and improve the validity of research on causal claims. It provides clear guidance on the use of different propensity score analysis (PSA) methods, from the fundamentals to complex, cutting-edge techniques. Experts in the field introduce underlying concepts and current issues and review relevant software programs for PSA. The book addresses the steps in propensity score estimation, including the use of generalized boosted models, how to identify which matching methods work best with specific types of data, and the evaluation of balance results on key background covariates after matching. Also covered are applications of PSA with complex data, working with missing data, controlling for unobserved confounding, and the extension of PSA to prognostic score analysis for causal inference. User-friendly features include statistical program codes and application examples"-- |
| Physical Description: | 1 online resource |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781462519538 1462519539 |
Staff View
MARC
| LEADER | 00000cam a2200000 i 4500 | ||
|---|---|---|---|
| 001 | ZDB-4-EBA-ocn905348747 | ||
| 003 | OCoLC | ||
| 005 | 20250103110447.0 | ||
| 006 | m o d | ||
| 007 | cr cnu---unuuu | ||
| 008 | 150320s2015 nyu ob 001 0 eng d | ||
| 040 | |a N$T |b eng |e rda |e pn |c N$T |d EBLCP |d E7B |d CDX |d YDXCP |d DEBSZ |d COO |d ZCU |d OCLCA |d OCLCF |d YDX |d UBY |d NRC |d LOA |d MERUC |d WTU |d OCLCQ |d UUM |d OCLCQ |d TKN |d UKAHL |d OCLCQ |d CUI |d OCLCQ |d OCLCO |d OCLCQ |d OCLCO |d OCLCL |d CLOUD | ||
| 019 | |a 960447724 |a 960736929 | ||
| 020 | |a 9781462519538 |q (electronic bk.) | ||
| 020 | |a 1462519539 |q (electronic bk.) | ||
| 020 | |z 9781462519491 | ||
| 020 | |z 1462519490 | ||
| 024 | 8 | |a 40025086349 | |
| 035 | |a (OCoLC)905348747 |z (OCoLC)960447724 |z (OCoLC)960736929 | ||
| 050 | 4 | |a HA29 |b .P764 2015eb | |
| 072 | 7 | |a REF |x 018000 |2 bisacsh | |
| 082 | 7 | |a 001.4/22 |2 23 | |
| 084 | |a PSY032000 |a MED106000 |a EDU027000 |a SOC027000 |2 bisacsh | ||
| 049 | |a MAIN | ||
| 245 | 0 | 0 | |a Propensity score analysis : |b fundamentals and developments / |c edited by Wei Pan, Haiyan Bai. |
| 264 | 1 | |a New York : |b The Guilford Press, |c 2015. | |
| 300 | |a 1 online resource | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 505 | 0 | |a part II: Fundamentals of propensity score analysis -- 1. Propensity score analysis: concepts and issues / Wei Pan and Haiyan Bai -- 2. Overview of implementing propensity score analysis in statistical software / Megan Schuler -- part II. Propensity score estimation, matching, and covariate balance -- 3. Propensity score estimation with boosted regression / Lane F. Burgette, Daniel F. McCaffrey, and Beth Ann Griffin -- 4. Methodological considerations in implementing propensity score matching / Haiyan Bai -- 5. Evaluating covariate balance / Cassandra W. Pattanayak -- part III. Weighting schemes and other strategies for outcome analysis after matching -- 6. Propensity score adjustment methods / M.H. Clark -- 7. Propensity score analysis with matching weights / Liang Li, Tom H. Greene, and Brian C. Sauer -- 8. Robust outcome analysis for propensity-matched designs / Scott F. Kosten, Joseph W. McKean, and Bradley E. Huitema -- part IV. Propensity score analysis on complex data -- 9. Latent growth modeling of longitudinal data with propensity-score-matched groups / Walter L. Leite -- 10. Propensity score matching on multilevel data / Qiu Wang -- 11. Propensity score analysis with complex survey samples / Debbie L. Hahs-Vaughn -- part V. Sensitivity analysis and extensions related to propensity score analysis -- 12. Missing data in propensity scores / Robin Mitra -- 13. Unobserved confounding in propensity score analysis / Rolf H.H. Groenwold and Olaf H. Klungel -- 14. Propensity-score-based sensitivity analysis / Lingling Li, Changyu Shen, and Xiaochun Li -- 15. Prognostic scores in clustered settings / Ben Kelcey and Christopher M. Swoboda. | |
| 520 | |a "This book is designed to help researchers better design and analyze observational data from quasi-experimental studies and improve the validity of research on causal claims. It provides clear guidance on the use of different propensity score analysis (PSA) methods, from the fundamentals to complex, cutting-edge techniques. Experts in the field introduce underlying concepts and current issues and review relevant software programs for PSA. The book addresses the steps in propensity score estimation, including the use of generalized boosted models, how to identify which matching methods work best with specific types of data, and the evaluation of balance results on key background covariates after matching. Also covered are applications of PSA with complex data, working with missing data, controlling for unobserved confounding, and the extension of PSA to prognostic score analysis for causal inference. User-friendly features include statistical program codes and application examples"-- |c Provided by publisher | ||
| 504 | |a Includes bibliographical references and index. | ||
| 588 | 0 | |a Print version record. | |
| 650 | 0 | |a Social sciences |x Statistical methods. |0 http://id.loc.gov/authorities/subjects/sh85124018 | |
| 650 | 6 | |a Sciences sociales |x Méthodes statistiques. | |
| 650 | 7 | |a PSYCHOLOGY |x Statistics. |2 bisacsh | |
| 650 | 7 | |a MEDICAL |x Research. |2 bisacsh | |
| 650 | 7 | |a EDUCATION |x Statistics. |2 bisacsh | |
| 650 | 7 | |a SOCIAL SCIENCE |x Statistics. |2 bisacsh | |
| 650 | 7 | |a REFERENCE |x Questions & Answers. |2 bisacsh | |
| 650 | 7 | |a Sciences sociales. |2 eclas | |
| 650 | 7 | |a Méthodes statistiques. |2 eclas | |
| 650 | 7 | |a Social sciences |x Statistical methods |2 fast | |
| 655 | 0 | |a Electronic books. | |
| 700 | 1 | |a Pan, Wei, |d 1958- |1 https://id.oclc.org/worldcat/entity/E39PCjyh3vMgWG3GYrkKTBrcyd | |
| 758 | |i has work: |a Propensity score analysis (Text) |1 https://id.oclc.org/worldcat/entity/E39PCG7YjKpF9vXhBbQ8WbXkym |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version : |t Propensity score analysis. |d New York : The Guilford Press, [2015] |z 9781462519491 |w (DLC) 2015000367 |w (OCoLC)884303322 |
| 966 | 4 | 0 | |l DE-862 |p ZDB-4-EBA |q FWS_PDA_EBA |u https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=916659 |3 Volltext |
| 966 | 4 | 0 | |l DE-863 |p ZDB-4-EBA |q FWS_PDA_EBA |u https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=916659 |3 Volltext |
| 938 | |a cloudLibrary |b CLDL |n 9781462519545 | ||
| 938 | |a Askews and Holts Library Services |b ASKH |n AH34865367 | ||
| 938 | |a Askews and Holts Library Services |b ASKH |n AH30984004 | ||
| 938 | |a Coutts Information Services |b COUT |n 31168379 | ||
| 938 | |a EBL - Ebook Library |b EBLB |n EBL1872280 | ||
| 938 | |a ebrary |b EBRY |n ebr11033564 | ||
| 938 | |a EBSCOhost |b EBSC |n 916659 | ||
| 938 | |a YBP Library Services |b YANK |n 12347022 | ||
| 938 | |a YBP Library Services |b YANK |n 12867645 | ||
| 994 | |a 92 |b GEBAY | ||
| 912 | |a ZDB-4-EBA | ||
| 049 | |a DE-862 | ||
| 049 | |a DE-863 | ||
Record in the Search Index
| DE-BY-FWS_katkey | ZDB-4-EBA-ocn905348747 |
|---|---|
| _version_ | 1829095028734033920 |
| adam_text | |
| any_adam_object | |
| author2 | Pan, Wei, 1958- |
| author2_role | |
| author2_variant | w p wp |
| author_facet | Pan, Wei, 1958- |
| author_sort | Pan, Wei, 1958- |
| building | Verbundindex |
| bvnumber | localFWS |
| callnumber-first | H - Social Science |
| callnumber-label | HA29 |
| callnumber-raw | HA29 .P764 2015eb |
| callnumber-search | HA29 .P764 2015eb |
| callnumber-sort | HA 229 P764 42015EB |
| callnumber-subject | HA - Statistics |
| collection | ZDB-4-EBA |
| contents | part II: Fundamentals of propensity score analysis -- 1. Propensity score analysis: concepts and issues / Wei Pan and Haiyan Bai -- 2. Overview of implementing propensity score analysis in statistical software / Megan Schuler -- part II. Propensity score estimation, matching, and covariate balance -- 3. Propensity score estimation with boosted regression / Lane F. Burgette, Daniel F. McCaffrey, and Beth Ann Griffin -- 4. Methodological considerations in implementing propensity score matching / Haiyan Bai -- 5. Evaluating covariate balance / Cassandra W. Pattanayak -- part III. Weighting schemes and other strategies for outcome analysis after matching -- 6. Propensity score adjustment methods / M.H. Clark -- 7. Propensity score analysis with matching weights / Liang Li, Tom H. Greene, and Brian C. Sauer -- 8. Robust outcome analysis for propensity-matched designs / Scott F. Kosten, Joseph W. McKean, and Bradley E. Huitema -- part IV. Propensity score analysis on complex data -- 9. Latent growth modeling of longitudinal data with propensity-score-matched groups / Walter L. Leite -- 10. Propensity score matching on multilevel data / Qiu Wang -- 11. Propensity score analysis with complex survey samples / Debbie L. Hahs-Vaughn -- part V. Sensitivity analysis and extensions related to propensity score analysis -- 12. Missing data in propensity scores / Robin Mitra -- 13. Unobserved confounding in propensity score analysis / Rolf H.H. Groenwold and Olaf H. Klungel -- 14. Propensity-score-based sensitivity analysis / Lingling Li, Changyu Shen, and Xiaochun Li -- 15. Prognostic scores in clustered settings / Ben Kelcey and Christopher M. Swoboda. |
| ctrlnum | (OCoLC)905348747 |
| dewey-full | 001.4/22 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 001 - Knowledge |
| dewey-raw | 001.4/22 |
| dewey-search | 001.4/22 |
| dewey-sort | 11.4 222 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Allgemeines |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>05666cam a2200673 i 4500</leader><controlfield tag="001">ZDB-4-EBA-ocn905348747</controlfield><controlfield tag="003">OCoLC</controlfield><controlfield tag="005">20250103110447.0</controlfield><controlfield tag="006">m o d </controlfield><controlfield tag="007">cr cnu---unuuu</controlfield><controlfield tag="008">150320s2015 nyu ob 001 0 eng d</controlfield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">N$T</subfield><subfield code="b">eng</subfield><subfield code="e">rda</subfield><subfield code="e">pn</subfield><subfield code="c">N$T</subfield><subfield code="d">EBLCP</subfield><subfield code="d">E7B</subfield><subfield code="d">CDX</subfield><subfield code="d">YDXCP</subfield><subfield code="d">DEBSZ</subfield><subfield code="d">COO</subfield><subfield code="d">ZCU</subfield><subfield code="d">OCLCA</subfield><subfield code="d">OCLCF</subfield><subfield code="d">YDX</subfield><subfield code="d">UBY</subfield><subfield code="d">NRC</subfield><subfield code="d">LOA</subfield><subfield code="d">MERUC</subfield><subfield code="d">WTU</subfield><subfield code="d">OCLCQ</subfield><subfield code="d">UUM</subfield><subfield code="d">OCLCQ</subfield><subfield code="d">TKN</subfield><subfield code="d">UKAHL</subfield><subfield code="d">OCLCQ</subfield><subfield code="d">CUI</subfield><subfield code="d">OCLCQ</subfield><subfield code="d">OCLCO</subfield><subfield code="d">OCLCQ</subfield><subfield code="d">OCLCO</subfield><subfield code="d">OCLCL</subfield><subfield code="d">CLOUD</subfield></datafield><datafield tag="019" ind1=" " ind2=" "><subfield code="a">960447724</subfield><subfield code="a">960736929</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781462519538</subfield><subfield code="q">(electronic bk.)</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1462519539</subfield><subfield code="q">(electronic bk.)</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="z">9781462519491</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="z">1462519490</subfield></datafield><datafield tag="024" ind1="8" ind2=" "><subfield code="a">40025086349</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)905348747</subfield><subfield code="z">(OCoLC)960447724</subfield><subfield code="z">(OCoLC)960736929</subfield></datafield><datafield tag="050" ind1=" " ind2="4"><subfield code="a">HA29</subfield><subfield code="b">.P764 2015eb</subfield></datafield><datafield tag="072" ind1=" " ind2="7"><subfield code="a">REF</subfield><subfield code="x">018000</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="082" ind1="7" ind2=" "><subfield code="a">001.4/22</subfield><subfield code="2">23</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">PSY032000</subfield><subfield code="a">MED106000</subfield><subfield code="a">EDU027000</subfield><subfield code="a">SOC027000</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">MAIN</subfield></datafield><datafield tag="245" ind1="0" ind2="0"><subfield code="a">Propensity score analysis :</subfield><subfield code="b">fundamentals and developments /</subfield><subfield code="c">edited by Wei Pan, Haiyan Bai.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">New York :</subfield><subfield code="b">The Guilford Press,</subfield><subfield code="c">2015.</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="505" ind1="0" ind2=" "><subfield code="a">part II: Fundamentals of propensity score analysis -- 1. Propensity score analysis: concepts and issues / Wei Pan and Haiyan Bai -- 2. Overview of implementing propensity score analysis in statistical software / Megan Schuler -- part II. Propensity score estimation, matching, and covariate balance -- 3. Propensity score estimation with boosted regression / Lane F. Burgette, Daniel F. McCaffrey, and Beth Ann Griffin -- 4. Methodological considerations in implementing propensity score matching / Haiyan Bai -- 5. Evaluating covariate balance / Cassandra W. Pattanayak -- part III. Weighting schemes and other strategies for outcome analysis after matching -- 6. Propensity score adjustment methods / M.H. Clark -- 7. Propensity score analysis with matching weights / Liang Li, Tom H. Greene, and Brian C. Sauer -- 8. Robust outcome analysis for propensity-matched designs / Scott F. Kosten, Joseph W. McKean, and Bradley E. Huitema -- part IV. Propensity score analysis on complex data -- 9. Latent growth modeling of longitudinal data with propensity-score-matched groups / Walter L. Leite -- 10. Propensity score matching on multilevel data / Qiu Wang -- 11. Propensity score analysis with complex survey samples / Debbie L. Hahs-Vaughn -- part V. Sensitivity analysis and extensions related to propensity score analysis -- 12. Missing data in propensity scores / Robin Mitra -- 13. Unobserved confounding in propensity score analysis / Rolf H.H. Groenwold and Olaf H. Klungel -- 14. Propensity-score-based sensitivity analysis / Lingling Li, Changyu Shen, and Xiaochun Li -- 15. Prognostic scores in clustered settings / Ben Kelcey and Christopher M. Swoboda.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">"This book is designed to help researchers better design and analyze observational data from quasi-experimental studies and improve the validity of research on causal claims. It provides clear guidance on the use of different propensity score analysis (PSA) methods, from the fundamentals to complex, cutting-edge techniques. Experts in the field introduce underlying concepts and current issues and review relevant software programs for PSA. The book addresses the steps in propensity score estimation, including the use of generalized boosted models, how to identify which matching methods work best with specific types of data, and the evaluation of balance results on key background covariates after matching. Also covered are applications of PSA with complex data, working with missing data, controlling for unobserved confounding, and the extension of PSA to prognostic score analysis for causal inference. User-friendly features include statistical program codes and application examples"--</subfield><subfield code="c">Provided by publisher</subfield></datafield><datafield tag="504" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references and index.</subfield></datafield><datafield tag="588" ind1="0" ind2=" "><subfield code="a">Print version record.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Social sciences</subfield><subfield code="x">Statistical methods.</subfield><subfield code="0">http://id.loc.gov/authorities/subjects/sh85124018</subfield></datafield><datafield tag="650" ind1=" " ind2="6"><subfield code="a">Sciences sociales</subfield><subfield code="x">Méthodes statistiques.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">PSYCHOLOGY</subfield><subfield code="x">Statistics.</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">MEDICAL</subfield><subfield code="x">Research.</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">EDUCATION</subfield><subfield code="x">Statistics.</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">SOCIAL SCIENCE</subfield><subfield code="x">Statistics.</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">REFERENCE</subfield><subfield code="x">Questions & Answers.</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Sciences sociales.</subfield><subfield code="2">eclas</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Méthodes statistiques.</subfield><subfield code="2">eclas</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Social sciences</subfield><subfield code="x">Statistical methods</subfield><subfield code="2">fast</subfield></datafield><datafield tag="655" ind1=" " ind2="0"><subfield code="a">Electronic books.</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Pan, Wei,</subfield><subfield code="d">1958-</subfield><subfield code="1">https://id.oclc.org/worldcat/entity/E39PCjyh3vMgWG3GYrkKTBrcyd</subfield></datafield><datafield tag="758" ind1=" " ind2=" "><subfield code="i">has work:</subfield><subfield code="a">Propensity score analysis (Text)</subfield><subfield code="1">https://id.oclc.org/worldcat/entity/E39PCG7YjKpF9vXhBbQ8WbXkym</subfield><subfield code="4">https://id.oclc.org/worldcat/ontology/hasWork</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Print version :</subfield><subfield code="t">Propensity score analysis.</subfield><subfield code="d">New York : The Guilford Press, [2015]</subfield><subfield code="z">9781462519491</subfield><subfield code="w">(DLC) 2015000367</subfield><subfield code="w">(OCoLC)884303322</subfield></datafield><datafield tag="966" ind1="4" ind2="0"><subfield code="l">DE-862</subfield><subfield code="p">ZDB-4-EBA</subfield><subfield code="q">FWS_PDA_EBA</subfield><subfield code="u">https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=916659</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="4" ind2="0"><subfield code="l">DE-863</subfield><subfield code="p">ZDB-4-EBA</subfield><subfield code="q">FWS_PDA_EBA</subfield><subfield code="u">https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=916659</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="938" ind1=" " ind2=" "><subfield code="a">cloudLibrary</subfield><subfield code="b">CLDL</subfield><subfield code="n">9781462519545</subfield></datafield><datafield tag="938" ind1=" " ind2=" "><subfield code="a">Askews and Holts Library Services</subfield><subfield code="b">ASKH</subfield><subfield code="n">AH34865367</subfield></datafield><datafield tag="938" ind1=" " ind2=" "><subfield code="a">Askews and Holts Library Services</subfield><subfield code="b">ASKH</subfield><subfield code="n">AH30984004</subfield></datafield><datafield tag="938" ind1=" " ind2=" "><subfield code="a">Coutts Information Services</subfield><subfield code="b">COUT</subfield><subfield code="n">31168379</subfield></datafield><datafield tag="938" ind1=" " ind2=" "><subfield code="a">EBL - Ebook Library</subfield><subfield code="b">EBLB</subfield><subfield code="n">EBL1872280</subfield></datafield><datafield tag="938" ind1=" " ind2=" "><subfield code="a">ebrary</subfield><subfield code="b">EBRY</subfield><subfield code="n">ebr11033564</subfield></datafield><datafield tag="938" ind1=" " ind2=" "><subfield code="a">EBSCOhost</subfield><subfield code="b">EBSC</subfield><subfield code="n">916659</subfield></datafield><datafield tag="938" ind1=" " ind2=" "><subfield code="a">YBP Library Services</subfield><subfield code="b">YANK</subfield><subfield code="n">12347022</subfield></datafield><datafield tag="938" ind1=" " ind2=" "><subfield code="a">YBP Library Services</subfield><subfield code="b">YANK</subfield><subfield code="n">12867645</subfield></datafield><datafield tag="994" ind1=" " ind2=" "><subfield code="a">92</subfield><subfield code="b">GEBAY</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-4-EBA</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-862</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-863</subfield></datafield></record></collection> |
| genre | Electronic books. |
| genre_facet | Electronic books. |
| id | ZDB-4-EBA-ocn905348747 |
| illustrated | Not Illustrated |
| indexdate | 2025-04-11T08:42:31Z |
| institution | BVB |
| isbn | 9781462519538 1462519539 |
| language | English |
| oclc_num | 905348747 |
| open_access_boolean | |
| owner | MAIN DE-862 DE-BY-FWS DE-863 DE-BY-FWS |
| owner_facet | MAIN DE-862 DE-BY-FWS DE-863 DE-BY-FWS |
| physical | 1 online resource |
| psigel | ZDB-4-EBA FWS_PDA_EBA ZDB-4-EBA |
| publishDate | 2015 |
| publishDateSearch | 2015 |
| publishDateSort | 2015 |
| publisher | The Guilford Press, |
| record_format | marc |
| spelling | Propensity score analysis : fundamentals and developments / edited by Wei Pan, Haiyan Bai. New York : The Guilford Press, 2015. 1 online resource text txt rdacontent computer c rdamedia online resource cr rdacarrier part II: Fundamentals of propensity score analysis -- 1. Propensity score analysis: concepts and issues / Wei Pan and Haiyan Bai -- 2. Overview of implementing propensity score analysis in statistical software / Megan Schuler -- part II. Propensity score estimation, matching, and covariate balance -- 3. Propensity score estimation with boosted regression / Lane F. Burgette, Daniel F. McCaffrey, and Beth Ann Griffin -- 4. Methodological considerations in implementing propensity score matching / Haiyan Bai -- 5. Evaluating covariate balance / Cassandra W. Pattanayak -- part III. Weighting schemes and other strategies for outcome analysis after matching -- 6. Propensity score adjustment methods / M.H. Clark -- 7. Propensity score analysis with matching weights / Liang Li, Tom H. Greene, and Brian C. Sauer -- 8. Robust outcome analysis for propensity-matched designs / Scott F. Kosten, Joseph W. McKean, and Bradley E. Huitema -- part IV. Propensity score analysis on complex data -- 9. Latent growth modeling of longitudinal data with propensity-score-matched groups / Walter L. Leite -- 10. Propensity score matching on multilevel data / Qiu Wang -- 11. Propensity score analysis with complex survey samples / Debbie L. Hahs-Vaughn -- part V. Sensitivity analysis and extensions related to propensity score analysis -- 12. Missing data in propensity scores / Robin Mitra -- 13. Unobserved confounding in propensity score analysis / Rolf H.H. Groenwold and Olaf H. Klungel -- 14. Propensity-score-based sensitivity analysis / Lingling Li, Changyu Shen, and Xiaochun Li -- 15. Prognostic scores in clustered settings / Ben Kelcey and Christopher M. Swoboda. "This book is designed to help researchers better design and analyze observational data from quasi-experimental studies and improve the validity of research on causal claims. It provides clear guidance on the use of different propensity score analysis (PSA) methods, from the fundamentals to complex, cutting-edge techniques. Experts in the field introduce underlying concepts and current issues and review relevant software programs for PSA. The book addresses the steps in propensity score estimation, including the use of generalized boosted models, how to identify which matching methods work best with specific types of data, and the evaluation of balance results on key background covariates after matching. Also covered are applications of PSA with complex data, working with missing data, controlling for unobserved confounding, and the extension of PSA to prognostic score analysis for causal inference. User-friendly features include statistical program codes and application examples"-- Provided by publisher Includes bibliographical references and index. Print version record. Social sciences Statistical methods. http://id.loc.gov/authorities/subjects/sh85124018 Sciences sociales Méthodes statistiques. PSYCHOLOGY Statistics. bisacsh MEDICAL Research. bisacsh EDUCATION Statistics. bisacsh SOCIAL SCIENCE Statistics. bisacsh REFERENCE Questions & Answers. bisacsh Sciences sociales. eclas Méthodes statistiques. eclas Social sciences Statistical methods fast Electronic books. Pan, Wei, 1958- https://id.oclc.org/worldcat/entity/E39PCjyh3vMgWG3GYrkKTBrcyd has work: Propensity score analysis (Text) https://id.oclc.org/worldcat/entity/E39PCG7YjKpF9vXhBbQ8WbXkym https://id.oclc.org/worldcat/ontology/hasWork Print version : Propensity score analysis. New York : The Guilford Press, [2015] 9781462519491 (DLC) 2015000367 (OCoLC)884303322 |
| spellingShingle | Propensity score analysis : fundamentals and developments / part II: Fundamentals of propensity score analysis -- 1. Propensity score analysis: concepts and issues / Wei Pan and Haiyan Bai -- 2. Overview of implementing propensity score analysis in statistical software / Megan Schuler -- part II. Propensity score estimation, matching, and covariate balance -- 3. Propensity score estimation with boosted regression / Lane F. Burgette, Daniel F. McCaffrey, and Beth Ann Griffin -- 4. Methodological considerations in implementing propensity score matching / Haiyan Bai -- 5. Evaluating covariate balance / Cassandra W. Pattanayak -- part III. Weighting schemes and other strategies for outcome analysis after matching -- 6. Propensity score adjustment methods / M.H. Clark -- 7. Propensity score analysis with matching weights / Liang Li, Tom H. Greene, and Brian C. Sauer -- 8. Robust outcome analysis for propensity-matched designs / Scott F. Kosten, Joseph W. McKean, and Bradley E. Huitema -- part IV. Propensity score analysis on complex data -- 9. Latent growth modeling of longitudinal data with propensity-score-matched groups / Walter L. Leite -- 10. Propensity score matching on multilevel data / Qiu Wang -- 11. Propensity score analysis with complex survey samples / Debbie L. Hahs-Vaughn -- part V. Sensitivity analysis and extensions related to propensity score analysis -- 12. Missing data in propensity scores / Robin Mitra -- 13. Unobserved confounding in propensity score analysis / Rolf H.H. Groenwold and Olaf H. Klungel -- 14. Propensity-score-based sensitivity analysis / Lingling Li, Changyu Shen, and Xiaochun Li -- 15. Prognostic scores in clustered settings / Ben Kelcey and Christopher M. Swoboda. Social sciences Statistical methods. http://id.loc.gov/authorities/subjects/sh85124018 Sciences sociales Méthodes statistiques. PSYCHOLOGY Statistics. bisacsh MEDICAL Research. bisacsh EDUCATION Statistics. bisacsh SOCIAL SCIENCE Statistics. bisacsh REFERENCE Questions & Answers. bisacsh Sciences sociales. eclas Méthodes statistiques. eclas Social sciences Statistical methods fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85124018 |
| title | Propensity score analysis : fundamentals and developments / |
| title_auth | Propensity score analysis : fundamentals and developments / |
| title_exact_search | Propensity score analysis : fundamentals and developments / |
| title_full | Propensity score analysis : fundamentals and developments / edited by Wei Pan, Haiyan Bai. |
| title_fullStr | Propensity score analysis : fundamentals and developments / edited by Wei Pan, Haiyan Bai. |
| title_full_unstemmed | Propensity score analysis : fundamentals and developments / edited by Wei Pan, Haiyan Bai. |
| title_short | Propensity score analysis : |
| title_sort | propensity score analysis fundamentals and developments |
| title_sub | fundamentals and developments / |
| topic | Social sciences Statistical methods. http://id.loc.gov/authorities/subjects/sh85124018 Sciences sociales Méthodes statistiques. PSYCHOLOGY Statistics. bisacsh MEDICAL Research. bisacsh EDUCATION Statistics. bisacsh SOCIAL SCIENCE Statistics. bisacsh REFERENCE Questions & Answers. bisacsh Sciences sociales. eclas Méthodes statistiques. eclas Social sciences Statistical methods fast |
| topic_facet | Social sciences Statistical methods. Sciences sociales Méthodes statistiques. PSYCHOLOGY Statistics. MEDICAL Research. EDUCATION Statistics. SOCIAL SCIENCE Statistics. REFERENCE Questions & Answers. Sciences sociales. Méthodes statistiques. Social sciences Statistical methods Electronic books. |
| work_keys_str_mv | AT panwei propensityscoreanalysisfundamentalsanddevelopments |