LDR | | 02289nam u200709 4500 |
001 | | 000000469458 |
005 | | 20220223114515 |
008 | | 220131s2021 us ||||||||||||||c||eng d |
020 | |
▼a 9798535542911 |
035 | |
▼a (MiAaPQ)AAI28652203 |
040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
082 | 0 |
▼a 310 |
100 | 1 |
▼a Kulnig Cinelli, Carlos Leonardo. |
245 | 10 |
▼a Transparent and Robust Causal Inferences in the Social and Health Sciences. |
260 | |
▼a [S.l.]:
▼b University of California, Los Angeles.,
▼c 2021. |
260 | 1 |
▼a Ann Arbor:
▼b ProQuest Dissertations & Theses,
▼c 2021. |
300 | |
▼a 233 p. |
500 | |
▼a Source: Dissertations Abstracts International, Volume: 83-03, Section: B. |
500 | |
▼a Advisor: Pearl, Judea;Hazlett, Chad J. |
502 | 1 |
▼a Thesis (Ph.D.)--University of California, Los Angeles, 2021. |
506 | |
▼a This item must not be sold to any third party vendors. |
590 | |
▼a School code: 0031. |
650 | 4 |
▼a Statistics. |
650 | 4 |
▼a Computer science. |
650 | 4 |
▼a International conferences. |
650 | 4 |
▼a Research. |
650 | 4 |
▼a Scientists. |
650 | 4 |
▼a Epidemiology. |
650 | 4 |
▼a Identification. |
650 | 4 |
▼a Artificial intelligence. |
650 | 4 |
▼a Dissertations & theses. |
650 | 4 |
▼a Social exclusion. |
650 | 4 |
▼a Health sciences. |
650 | 4 |
▼a Advisors. |
650 | 4 |
▼a Bias. |
650 | 4 |
▼a Sample size. |
650 | 4 |
▼a Simulation. |
650 | 4 |
▼a Sensitivity analysis. |
650 | 4 |
▼a Experiments. |
650 | 4 |
▼a Electronic periodicals. |
650 | 4 |
▼a Variables. |
650 | 4 |
▼a Algorithms. |
690 | |
▼a 0463 |
690 | |
▼a 0984 |
690 | |
▼a 0566 |
690 | |
▼a 0800 |
690 | |
▼a 0766 |
710 | 20 |
▼a University of California, Los Angeles.
▼b Statistics 0891. |
773 | 0 |
▼t Dissertations Abstracts International
▼g 83-03B. |
773 | |
▼t Dissertation Abstract International |
790 | |
▼a 0031 |
791 | |
▼a Ph.D. |
792 | |
▼a 2021 |
793 | |
▼a English |
856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T16053694
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
980 | |
▼a 202202
▼f 2022 |
990 | |
▼a ***1012033 |
991 | |
▼a E-BOOK |