A review for clinical outcomes research: Hypothesis generation, data strategy, and hypothesis-driven statistical analysis

Surgical Endoscopy

Volumn 25, Issue 7, 2011, Pages 2254-2260

  Chang, David C ^a,b   Talamini, Mark A ^a  

^a UNIVERSITY OF CALIFORNIA SAN DIEGO   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Clinical papers; Education; Research; Trials

Indexed keywords

ANALYTICAL RESEARCH; ARTICLE; BIVARIATE ANALYSIS; CLINICAL PROTOCOL; CLINICAL RESEARCH; CLINICAL STUDY; DATA ANALYSIS; DATA BASE; HYPOTHESIS; MEDICAL LITERATURE; MULTIVARIATE ANALYSIS; OUTCOMES RESEARCH; PRIORITY JOURNAL; SENSITIVITY ANALYSIS; STATISTICAL ANALYSIS; UNIVARIATE ANALYSIS;

EID: 79960423793     PISSN: 09302794     EISSN: 14322218     Source Type: Journal    
DOI: 10.1007/s00464-010-1543-7     Document Type: Article

References (18)

1. GH Utter RV Maier FP Rivara CN Mock GJ Jurkovich AB Nathens 2006 Inclusive trauma systems: do they improve triage or outcomes of the severely injured? J Trauma 60 3 529 535 16531850 10.1097/01.ta.0000204022.36214.9e
2. U Guller 2006 Surgical outcomes research based on administrative data: inferior or complementary to prospective randomized clinical trials? World J Surg 30 3 255 266 16485067 10.1007/s00268-005-0156-0 (Pubitemid 43261343)
3. JG Ford MW Howerton GY Lai TL Gary S Bolen MC Gibbons J Tilburt C Baffi TP Tanpitukpongse RF Wilson NR Powe EB Bass 2008 Barriers to recruiting underrepresented populations to cancer clinical trials: a systematic review Cancer 112 2 228 242 18008363 10.1002/cncr.23157
4. Z Mosenifar 2007 Population issues in clinical trials Proc Am Thorac Soc 4 2 185 187 17494729 10.1513/pats.200701-009GC discussion 187-188
5. AHRQ: registries for evaluating patient outcomes: a user's guide. http://effectivehealthcare.ahrq.gov/index.cfm/search-for-guides-reviews-and- reports/?pageaction=displayproduct&productid=12. Accessed 1 April 2010
6. HCUP Nationwide Inpatient Sample (NIS), Healthcare Cost and Utilization Project (HCUP). Agency for Healthcare Research and Quality, Rockville, MD, 2000-2001. http://www.hcup-us.ahrq.gov/nisoverview.jsp. Accessed 1 April 2010
7. National Surgical Quality Improvement Program (NSIP), American College of Surgeons. https://acsnsqip.org/login/default.aspx. Accessed 1 April 2010
8. National Trauma Data Bank (NTDB), American College of Surgeons. http://www.facs.org/trauma/ntdb/index.html. Accessed 1 April 2010
9. Surveillance, Epidemiology, and End Results (SEER), National Cancer Institute. http://seer.cancer.gov/. Accessed 1 April 2010
10. HB Newcombe JM Kennedy SJ Axford AP James 1959 Automatic linkage of vital records Science 130 954 959 14426783 10.1126/science.130.3381.954 1:STN:280:DyaF3c7nvFCrtQ%3D%3D
11. LJ Cook S Knight LM Olson PJ Nechodom JM Dean 2000 Motor vehicle crash characteristics and medical outcomes among older drivers in Utah, 1992-1995 Ann Emerg Med 35 585 591 10828772 10.1016/S0196-0644(00)70032-1 1:STN:280: DC%2BD3c3ptVOqtA%3D%3D (Pubitemid 30658434)
12. DE Clark DR Hahn 1999 Hospital trauma registries linked with population-based data J Trauma 47 448 454 10498296 10.1097/00005373-199909000- 00003 1:STN:280:DyaK1Mvis1Kisg%3D%3D (Pubitemid 29444379)
13. ME Charlson P Pompei KL Ales CR MacKenzie 1987 A new method of classifying prognostic comorbidity in longitudinal studies: development and validation J Chronic Dis 40 373 383 3558716 10.1016/0021-9681(87)90171-8 1:STN:280:DyaL2s7ms1GnsQ%3D%3D (Pubitemid 17055592)
14. PS Romano LL Roos JG Jollis 1993 Adapting a clinical comorbidity index for use with ICD-9-CM administrative data: differing perspectives J Clin Epidemiol 46 10 1075 1079 8410092 10.1016/0895-4356(93)90103-8 1:STN:280:DyaK2c%2FhsFWrsw%3D%3D (Pubitemid 23302074)
15. A Elixhauser C Steiner DR Harris RM Coffey 1998 Comorbidity measures for use with administrative data Med Care 36 8 27 9431328 10.1097/00005650- 199801000-00004 1:STN:280:DyaK1c%2FptlemtA%3D%3D (Pubitemid 128456396)
16. PL Tassler AL Dellon 1994 A draught of historical significance Plast Reconstr Surg 94 2 400 401 8041837 10.1097/00006534-199408000-00032 1:STN:280:DyaK2czhs1OmsQ%3D%3D (Pubitemid 24243458)
17. Rubin DB (1987) Multiple imputation for non-response in surveys. Wiley, New York
18. Oyetunji TA, Crompton JG, Stevens KA, Efron DT, Haut ER, Chang DC, Cornwell EE, Crandall ML, Haider AH (2008) Using multiple imputation to account for missing data in the National Trauma Data Bank (NTDB). American Association for the Surgery of Trauma, poster presentation, Maui, Hawaii, September 2008