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1 Multiple Imputation with Diagnostics (mi) in R: Opening Windows into the Black Box

Author(s):
Su, Yu-Sung; Yajima, Masanao; Gelman, Andrew E.; Hill, Jennifer
Date:
2011
Subject:
Statistics
Content Type:
Articles
Permanent URL:
http://hdl.handle.net/10022/AC:P:15342

2 Why we (usually) don't have to worry about multiple comparison

Author(s):
Gelman, Andrew E.; Hill, Jennifer; Yajima, Masanao
Date:
2009
Subject:
Statistics
Content Type:
Working papers
Publisher:
Columbia Population Research Center
Permanent URL:
http://hdl.handle.net/10022/AC:P:9795

3 Why we (usually) don't have to worry about multiple comparisons

Author(s):
Gelman, Andrew E.; Hill, Jennifer; Yajima, Masanao
Date:
2009
Subject:
Statistics
Content Type:
Articles
Permanent URL:
http://hdl.handle.net/10022/AC:P:8550

4 Why we (usually) don't have to worry about multiple comparisons

Author(s):
Gelman, Andrew E.; Hill, Jennifer; Yajima, Masanao
Date:
2009
Subject:
Statistics
Content Type:
Presentations
Permanent URL:
http://hdl.handle.net/10022/AC:P:8560

5 Why we (usually) don't have to worry about multiple comparisons

Author(s):
Gelman, Andrew E.; Hill, Jennifer; Yajima, Masanao
Date:
2007
Subject:
Statistics
Content Type:
Presentations
Permanent URL:
http://hdl.handle.net/10022/AC:P:8561

6 Reducing Bias in Treatment Effect Estimation in Observational Studies Suffering from Missing Data

Author(s):
Hill, Jennifer
Date:
2004
Subject:
Social research, Statistics
Content Type:
Working papers
Publisher:
Institute for Social and Economic Research and Policy, Columbia University
Permanent URL:
http://hdl.handle.net/10022/AC:P:9697

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