Statistical methods for handling incomplete data:
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Boca Raton [u.a.]
CRC Press
2014
|
| Series: | A Chapman & Hall book
|
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Physical Description: | XI, 211 S. |
| ISBN: | 9781439849637 |
Staff View
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Record in the Search Index
| _version_ | 1804152159204278272 |
|---|---|
| adam_text | Contents
Preface
ix
List of Tables
xi
1
Introduction
1
1.1
Introduction
1
1.2
Outline
1
1.3
How to use this book
2
2
Likelihood-based approach
5
2.1
Introduction
5
2.2
Observed likelihood
10
2.3
Mean score approach
14
2.4
Observed information
17
3
Computation
25
3.1
Introduction
25
3.2
Factoring likelihood approach
30
3.3
EM algorithm
36
3.4
Monte Carlo computation
44
3.5
Monte Carlo EM
48
3.6
Data augmentation
50
4
Imputation
59
4.1
Introduction
59
4.2
Basic theory for imputation
60
4.3
Variance estimation after imputation
66
4.4
Replication variance estimation
72
4.5
Multiple imputation
75
4.6
Fractional imputation
84
5
Propensity scoring approach
99
5.1
Introduction
99
5.2
Regression weighting method
101
5.3
Propensity score method
103
5.4
Optimal estimation
109
5.5
Doubly robust method
112
5.6
Empirical likelihood method
115
5.7
Nonparametric method
117
VII
viii
CONTENTS
6
Nonignorable
missing
data
123
6.1
Nonresponse
instrument
123
6.2
Conditional likelihood approach
25
6.3
Generalized method of moments (GMM) approach
127
6.4
Pseudo
likelihood approach 1
30
6.5
Exponential tilting
(ET)
model
132
6.6
Latent variable approach
137
6.7
Callbacks
138
6.8
Capture-recapture (CR) experiment
141
7
Longitudinal and clustered data
145
7.1
Ignorable
missing data
145
7.2
Nonignorable monotone missing data
146
7.2.1
Parametric models
146
7.2.2
Nonparametric p(y x)
147
7.2.3
Nonparametric propensity
150
7.3
Past-value-dependent missing data
153
7.3.1
Three different approaches
153
7.3.2
Imputation models under past-value-dependent
nonmonotone
missing
154
7.3.3
Nonparametric regression imputation
156
7.3.4
Dimension reduction
157
7.3.5
Simulation study
159
7.3.6
Wisconsin Diabetes Registry Study
161
7.4
Random-effect-dependent missing data
161
7.4.1
Three existing approaches
162
7.4.2
Summary statistics
164
7.4.3
Simulation study
166
7.4.4
Modification of diet in renal disease
167
8
Application to survey sampling
17
j
8.1
Introduction jyj
8.2
Calibration estimation
173
8.3
Propensity score weighting method 1
74
8.4
Fractional imputation I7g
8.5
Fractional hot deck imputation I
§2
8.6
Imputation for two-phase sampling jg4
8.7
Synthetic imputation jg7
9
Statistical matching ^
9.1
Introduction
jç-,
9.2
Instrumental variable approach
iç
,
9.3
Measurement error models
,„7
9.4
Causal inference ,gg
Bibliography 201
Index 209
|
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| id | DE-604.BV041826116 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T01:06:17Z |
| institution | BVB |
| isbn | 9781439849637 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027271091 |
| oclc_num | 881121131 |
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| owner | DE-473 DE-BY-UBG |
| owner_facet | DE-473 DE-BY-UBG |
| physical | XI, 211 S. |
| publishDate | 2014 |
| publishDateSearch | 2014 |
| publishDateSort | 2014 |
| publisher | CRC Press |
| record_format | marc |
| series2 | A Chapman & Hall book |
| spelling | Kim, Jae Kwang 1968- Verfasser (DE-588)131582178 aut Statistical methods for handling incomplete data Jae Kwang Kim ; Jun Shao Boca Raton [u.a.] CRC Press 2014 XI, 211 S. txt rdacontent n rdamedia nc rdacarrier A Chapman & Hall book Imputationstechnik (DE-588)4609617-6 gnd rswk-swf Fehlende Daten (DE-588)4264715-0 gnd rswk-swf Missing observations (Statistics) Multiple imputation (Statistics) Fehlende Daten (DE-588)4264715-0 s Imputationstechnik (DE-588)4609617-6 s DE-604 Shao, Jun Verfasser (DE-588)170899543 aut Digitalisierung UB Bamberg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027271091&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Kim, Jae Kwang 1968- Shao, Jun Statistical methods for handling incomplete data Imputationstechnik (DE-588)4609617-6 gnd Fehlende Daten (DE-588)4264715-0 gnd |
| subject_GND | (DE-588)4609617-6 (DE-588)4264715-0 |
| title | Statistical methods for handling incomplete data |
| title_auth | Statistical methods for handling incomplete data |
| title_exact_search | Statistical methods for handling incomplete data |
| title_full | Statistical methods for handling incomplete data Jae Kwang Kim ; Jun Shao |
| title_fullStr | Statistical methods for handling incomplete data Jae Kwang Kim ; Jun Shao |
| title_full_unstemmed | Statistical methods for handling incomplete data Jae Kwang Kim ; Jun Shao |
| title_short | Statistical methods for handling incomplete data |
| title_sort | statistical methods for handling incomplete data |
| topic | Imputationstechnik (DE-588)4609617-6 gnd Fehlende Daten (DE-588)4264715-0 gnd |
| topic_facet | Imputationstechnik Fehlende Daten |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027271091&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT kimjaekwang statisticalmethodsforhandlingincompletedata AT shaojun statisticalmethodsforhandlingincompletedata |