Analysis of observational health care data using SAS:
Gespeichert in:
Format: | Buch |
---|---|
Sprache: | English |
Veröffentlicht: |
Cary
SAS Inst.
2010
|
Schlagworte: | |
Online-Zugang: | Inhaltsverzeichnis |
Beschreibung: | Includes bibliographical references and index |
Beschreibung: | XIV, 436 S. Ill., graph. Darst. 29 cm |
ISBN: | 9781607642275 |
Internformat
MARC
LEADER | 00000nam a2200000 c 4500 | ||
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020 | |a 9781607642275 |9 978-1-60764-227-5 | ||
035 | |a (OCoLC)896291778 | ||
035 | |a (DE-599)BVBBV042156101 | ||
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245 | 1 | 0 | |a Analysis of observational health care data using SAS |c ed. by Douglas E. Faries ... |
264 | 1 | |a Cary |b SAS Inst. |c 2010 | |
300 | |a XIV, 436 S. |b Ill., graph. Darst. |c 29 cm | ||
336 | |b txt |2 rdacontent | ||
337 | |b n |2 rdamedia | ||
338 | |b nc |2 rdacarrier | ||
500 | |a Includes bibliographical references and index | ||
630 | 0 | 4 | |a SAS (Computer file) |
650 | 4 | |a Datenverarbeitung | |
650 | 4 | |a Medical records |x Management |x Data processing | |
700 | 1 | |a Faries, Douglas E. |e Sonstige |4 oth | |
856 | 4 | 2 | |m HBZ Datenaustausch |q application/pdf |u http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027595850&sequence=000004&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |3 Inhaltsverzeichnis |
999 | |a oai:aleph.bib-bvb.de:BVB01-027595850 |
Datensatz im Suchindex
_version_ | 1804152650731618304 |
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adam_text | Titel: Analysis of observational health care data using SAS
Autor: Faries, Douglas E.
Jahr: 2010
Contents
Preface ix
Part 1 Introduction
Chapter 1 Introduction to Observational Studies........3
1.1 Observational vs. Experimental Studies..............................................3
1.2 Issues in Observational Studies............................................................5
1.3 Study Design............................................................................................9
1.4 Methods..................................................................................................10
1.5 Some Guidelines for Reporting...........................................................13
Acknowledgments........................................................................................14
References....................................................................................................15
Part 2 Cross-Sectional Selection Bias
Adjustment
Chapter 2 Propensity Score Stratification and
Regression................................................23
Abstract.........................................................................................................23
2.1 Introduction............................................................................................23
2.2 Propensity Score: Definition and Rationale.......................................24
2.3 Estimation of Propensity Scores.........................................................24
2.4 Using Propensity Scores to Estimate Treatment Effects:
Stratification and Regression Adjustment.........................................26
2.5 Evaluation of Propensity Scores.........................................................27
2.6 Limitations and Advantages of Propensity Scores...........................29
2.7 Example..................................................................................................30
2.8 Summary................................................................................................46
Acknowledgments........................................................................................46
References....................................................................................................46
Chapter 3 Propensity Score Matching for Estimating
Treatment Effects......................................51
Abstract.........................................................................................................51
3.1 Introduction.........................................................................................52
3.2 Estimating the Propensity Score.......................................................52
3.3 Forming Propensity Score Matched Sets.........................................53
3.4 Assessing Balance in Baseline Characteristics..............................55
3.5 Estimating the Treatment Effect........................................................58
3.6 Sensitivity Analyses for Propensity Score Matching.....................61
3.7 Propensity Score Matching Compared with Other Propensity
Score Methods.....................................................................................62
3.8 Case Study...........................................................................................62
3.9 Summary..............................................................................................81
Acknowledgments........................................................................................81
References....................................................................................................82
Chapter 4 Doubly Robust Estimation of
Treatment Effects......................................85
Abstract.........................................................................................................85
4.1 Introduction............................................................................................85
4.2 Implemention with the DR Macro........................................................88
4.3 Sample Analysis....................................................................................95
4.4 Summary..............................................................................................101
4.5 Conclusion...........................................................................................102
References..................................................................................................103
Chapter 5 Propensity Scoring with Missing
Values......................................................105
Abstract.......................................................................................................105
5.1 Introduction..........................................................................................105
5.2 Data Example.......................................................................................107
5.3 Using SAS for IPW Estimation with Missing Values.......................109
5.4 Sensitivity Analyses............................................................................124
5.5 Discussion...........................................................................................128
References..................................................................................................128
Chapter 6 Instrumental Variable Method for
Addressing Selection Bias....................... 131
Abstract.......................................................................................................131
6.1 Introduction..........................................................................................131
6.2 Overview of Instrumental Variable Method to Control for
Selection Bias......................................................................................132
6.3 Description of Case Study..................................................................134
6.4 Traditional Ordinary Least Squares Regression Method
Applied to Case Study.........................................................................138
6.5 Instrumental Variable Method Applied to Case Study....................139
6.6 Using PROC QLIM to Conduct IV Analysis......................................143
6.7 Comparison to Traditional Regression Adjustment Method..........146
6.8 Discussion...........................................................................................147
6.9 Conclusion...........................................................................................148
Acknowledgments......................................................................................149
References..................................................................................................149
Chapter 7 Local Control Approach Using JMP.........151
Abstract.......................................................................................................151
7.1 Introduction..........................................................................................152
7.2 Some Traditional Analyses of Hypothetical Patient Registry
Data.......................................................................................................156
7.3 The Four Phases of a Local Control Analysis..................................163
7.4 Conclusion...........................................................................................182
Acknowledgments......................................................................................184
Appendix: Propensity Scores and Blocking/Balancing Scores............185
References..................................................................................................189
Part 3 Longitudinal Bias Adjustment
Chapter 8 A Two-Stage Longitudinal Propensity
Adjustment for Analysis of Observational
Data.........................................................195
Abstract.......................................................................................................195
8.1 Introduction..........................................................................................195
8.2 Longitudinal Model of Propensity for Treatment.............................196
8.3 Longitudinal Propensity-Adjusted Treatment Effectiveness
Analyses...............................................................................................197
8.4 Application...........................................................................................198
8.5 Summary..............................................................................................207
Acknowledgments......................................................................................208
References..................................................................................................208
Chapter 9 Analysis of Longitudinal Observational
Data Using Marginal Structural Models... 211
Abstract.......................................................................................................211
9.1 Introduction..........................................................................................211
9.2 MSM Methodology...............................................................................213
9.3 Example: MSM Analysis of a Simulated Schizophrenia Trial.........214
9.4 Discussion...........................................................................................227
References..................................................................................................228
Chapter 10 Structural Nested Models........................231
Abstract.......................................................................................................231
10.1 Introduction........................................................................................232
10.2 Time-Varying Causal Effect Moderation.........................................234
10.3 Estimation..........................................................................................236
10.4 Empirical Example: Maximum Likelihood Data Analysis Using
SASPROCNLP..................................................................................239
10.5 Discussion.........................................................................................251
Appendix 10.A.............................................................................................253
Appendix 10.B.............................................................................................256
Appendix 10.C.............................................................................................259
References..................................................................................................260
Chapter 11 Regression Models on Longitudinal
Propensity Scores.................................... 263
Abstract.......................................................................................................263
11.1 Introduction........................................................................................263
11.2 Estimation Using Regression on Longitudinal Propensity
Scores.................................................................................................265
11.3 Example..............................................................................................266
11.4 Summary............................................................................................282
References..................................................................................................282
Part 4 Claims Database Research
Chapter 12 Good Research Practices for the Conduct
of Observational Database Studies.........287
Abstract.......................................................................................................287
12.1 Introduction........................................................................................287
12.2 Checklist and Discussion.................................................................289
Acknowledgments......................................................................................294
References..................................................................................................294
Chapter 13 Dose-Response Safety Analyses Using
Large Health Care Databases..................295
Abstract.......................................................................................................295
13.1 Introduction........................................................................................295
13.2 Data Structure....................................................................................297
13.3 Treatment Model and Censoring Model Setup..............................300
13.4 Structural Model Implementation....................................................304
13.5 Discussion.........................................................................................309
References..................................................................................................310
Part 5 Pharmacoeconomics
Chapter 14 Costs and Cost-Effectiveness Analysis
Using Propensity Score Bin
Bootstrapping.......................................... 315
Abstract.......................................................................................................315
14.1 Introduction........................................................................................315
14.2 Propensity Score Bin Bootstrapping..............................................319
14.3 Example: Schizophrenia Effectiveness Study...............................320
14.4 Discussion.........................................................................................334
References..................................................................................................335
Chapter 15 Incremental Net Benefit.......................... 339
Abstract.......................................................................................................339
15.1 Introduction........................................................................................340
15.2 Cost-Effectiveness Analysis............................................................341
15.3 Parameter Estimation.......................................................................346
15.4 Example..............................................................................................351
15.5 Observational Studies......................................................................359
15.6 Discussion.........................................................................................359
Acknowledgments......................................................................................360
References..................................................................................................360
Chapter 16 Cost and Cost-Effectiveness Analysis
with Censored Data.................................363
Abstract.......................................................................................................363
16.1 Introduction........................................................................................363
16.2 Statistical Methods............................................................................366
16.3 Example..............................................................................................369
16.4 Discussion.........................................................................................379
Acknowledgments......................................................................................380
References..................................................................................................381
Part 6 Designing Observational Studies
Chapter 17 Addressing Measurement and Sponsor
Biases in Observational Research...........385
Abstract.......................................................................................................385
17.1 Introduction........................................................................................385
17.2 General Design Issues......................................................................386
17.3 Addressing Measurement and Sponsor Bias................................388
17.4 Summary............................................................................................389
References..................................................................................................390
Chapter 18 Sample Size Calculation for
Observational Studies.............................391
Abstract.......................................................................................................391
18.1 Introduction........................................................................................391
18.2 Continuous Variables.......................................................................392
18.3 Binary Variables................................................................................398
18.4 Two-Sample Log-Rank Test for Survival Data...............................405
18.5 Two-Sample Longitudinal Data........................................................410
18.6 Discussion.........................................................................................423
Appendix: Asymptotic Distribution of Wilcoxon Rank Sum Test
under//0.......................................................................................................423
References..................................................................................................424
Index...........................................................................427
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language | English |
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spelling | Analysis of observational health care data using SAS ed. by Douglas E. Faries ... Cary SAS Inst. 2010 XIV, 436 S. Ill., graph. Darst. 29 cm txt rdacontent n rdamedia nc rdacarrier Includes bibliographical references and index SAS (Computer file) Datenverarbeitung Medical records Management Data processing Faries, Douglas E. Sonstige oth HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027595850&sequence=000004&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
spellingShingle | Analysis of observational health care data using SAS SAS (Computer file) Datenverarbeitung Medical records Management Data processing |
title | Analysis of observational health care data using SAS |
title_auth | Analysis of observational health care data using SAS |
title_exact_search | Analysis of observational health care data using SAS |
title_full | Analysis of observational health care data using SAS ed. by Douglas E. Faries ... |
title_fullStr | Analysis of observational health care data using SAS ed. by Douglas E. Faries ... |
title_full_unstemmed | Analysis of observational health care data using SAS ed. by Douglas E. Faries ... |
title_short | Analysis of observational health care data using SAS |
title_sort | analysis of observational health care data using sas |
topic | SAS (Computer file) Datenverarbeitung Medical records Management Data processing |
topic_facet | SAS (Computer file) Datenverarbeitung Medical records Management Data processing |
url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027595850&sequence=000004&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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