MARC details
| 000 -LEADER |
|---|
| fixed length control field |
03057nam a2200313 i 4500 |
| 001 - CONTROL NUMBER |
|---|
| control field |
25039 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20170213142114.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
100901t20102010ncua b 001 0 eng |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
|---|
| LC control number |
2010459423 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781607642275 (pbk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
1607642271 (pbk.) |
| 035 ## - SYSTEM CONTROL NUMBER |
|---|
| System control number |
(OCoLC)506277599 |
| 035 ## - SYSTEM CONTROL NUMBER |
|---|
| System control number |
(OCoLC)506277599 |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
DLC |
| Language of cataloging |
eng |
| Description conventions |
rda |
| Transcribing agency |
DLC |
| Modifying agency |
SA$ |
| -- |
YDXCP |
| -- |
BDX |
| -- |
S4S |
| -- |
OCLCO |
| -- |
OCLCF |
| 042 ## - AUTHENTICATION CODE |
|---|
| Authentication code |
pcc |
| 049 ## - LOCAL HOLDINGS (OCLC) |
|---|
| Holding library |
VXNB |
| 050 00 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
R864 |
| Item number |
.A53 2010 |
| 245 00 - TITLE STATEMENT |
|---|
| Title |
Analysis of observational health care data using SAS |
| Statement of responsibility, etc. |
[edited by] Douglas E. Faries, Andrew C. Leon, Josep Maria Haro, Robert L. Obenchain. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
Cary, NC : |
| Name of publisher, distributor, etc. |
SAS Institute, |
| Date of publication, distribution, etc. |
©2010. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xiv, 436 pages |
| Other physical details |
illustrations |
| Dimensions |
29 cm |
| 500 ## - GENERAL NOTE |
|---|
| General note |
LOCATED IN THE DESK RESERVE SPECIAL COLLECTIONS CABINET |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc. note |
Includes bibliographical references and index. |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
Introduction to observational studies -- Propensity score stratification and regression -- Propensity score matching for estimating treatment effects -- Doubly robust estimation of treatment effects -- Propensity scoring with missing values -- Instrumental variable method for addressing selection bias -- Local control approach using JMP -- A two-stage longitudinal propensity adjustment for analysis of observational data -- Analysis of longitudinal observational data using marginal structural models -- Structural nested models -- Regression models on longitudinal propensity scores -- Good research practices for the conduct of observational database studies -- Dose-response safety analyses using large health care databases -- Costs and cost-effectiveness analysis using propensity score bin bootstrapping -- Incremental net benefit -- Cost and cost-effectiveness analysis with censored data -- Addressing measurement and sponsor biases in observational research -- Sample size calculation for observational studies. |
| 520 8# - SUMMARY, ETC. |
|---|
| Summary, etc. |
Annotation |
| Expansion of summary note |
This book guides researchers in performing and presenting high-quality analyses of all kinds of non-randomized studies, including analyses of observational studies, claims database analyses, assessment of registry data, survey data, pharmaco-economic data, and many more applications. The text is sufficiently detailed to provide not only general guidance, but to help the researcher through all of the standard issues that arise in such analyses. Just enough theory is included to allow the reader to understand the pros and cons of alternative approaches and when to use each method. The numerous contributors to this book illustrate, via real-world numerical examples and SAS code, appropriate implementations of alternative methods. The end result is that researchers will learn how to present high-quality and transparent analyses that will lead to fair and objective decisions from observational data. |
| 630 00 - SUBJECT ADDED ENTRY--UNIFORM TITLE |
|---|
| Uniform title |
SAS (Computer file) |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Medical records |
| General subdivision |
Management |
| -- |
Data processing. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Faries, Douglas E. |
| Relator term |
editor of compilation. |
| 710 2# - ADDED ENTRY--CORPORATE NAME |
|---|
| Corporate name or jurisdiction name as entry element |
SAS Institute. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Library of Congress Classification |
| Koha item type |
Book |
