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020 ▼a 9780438354005
035 ▼a (MiAaPQ)AAI10845162
035 ▼a (MiAaPQ)umn:19524
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 248032
0820 ▼a 310
1001 ▼a Koch, Brandon Lee D.
24510 ▼a Statistical Methods for Variable Selection in Causal Inference.
260 ▼a [S.l.] : ▼b University of Minnesota., ▼c 2018
260 1 ▼a Ann Arbor : ▼b ProQuest Dissertations & Theses, ▼c 2018
300 ▼a 115 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B.
500 ▼a Advisers: Julian Wolfson
5021 ▼a Thesis (Ph.D.)--University of Minnesota, 2018.
520 ▼a Estimating the causal effect of a binary intervention or action (referred to as a "treatment") on a continuous outcome is often an investigator's primary goal. Randomized trials are ideal for estimating causal effects because randomization elimi
590 ▼a School code: 0130.
650 4 ▼a Statistics.
690 ▼a 0463
71020 ▼a University of Minnesota. ▼b Biostatistics.
7730 ▼t Dissertation Abstracts International ▼g 80-01B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0130
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T15000045 ▼n KERIS
980 ▼a 201812 ▼f 2019
990 ▼a 관리자