Analysis of combined data from heterogeneous study designs: An applied example from the patient navigation research program

Clinical Trials

Volumn 9, Issue 2, 2012, Pages 176-187

  Roetzheim, Richard G ^a,b   Freund, Karen M ^c   Corle, Don K ^d   Murray, David M ^e   Snyder, Frederick R ^f   Kronman, Andrea C ^c   Jean Pierre, Pascal ^g,h   Raich, Peter C ⁱ   Holden, Alan E C ^j   Darnell, Julie S ^k   Warren Mears, Victoria ^l   Patierno, Steven ^m  

^a UNIVERSITY OF SOUTH FLORIDA   (United States)

^b H LEE MOFFITT CANCER CENTER AND RESEARCH INSTITUTE   (United States)

^c BOSTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

^d NATIONAL CANCER INSTITUTE   (United States)

^e OHIO STATE UNIVERSITY   (United States)

^f NOVA Research Company   (United States)

^g UNIVERSITY OF MIAMI MILLER SCHOOL OF MEDICINE   (United States)

^h UNIVERSITY OF MIAMI   (United States)

ⁱ DENVER HEALTH AND HOSPITAL AUTHORITY   (United States)

^j UNIVERSITY OF TEXAS HEALTH SCIENCE CENTER AT SAN ANTONIO   (United States)

^k UNIVERSITY OF ILLINOIS AT CHICAGO   (United States)

^l Northwest Tribal Epidemiology Center   (United States)

^m GEORGE WASHINGTON UNIVERSITY MEDICAL CENTER   (United States)

more..

Author keywords

[No Author keywords available]

Indexed keywords

ANALYTIC METHOD; ARTICLE; CROSS-SECTIONAL STUDY; DATA ANALYSIS; HUMAN; MEDICAL RESEARCH; PATIENT NAVIGATION RESEARCH PROGRAM; POLICY; POPULATION RESEARCH; PRIORITY JOURNAL; RANDOMIZED CONTROLLED TRIAL (TOPIC); RESEARCH PRIORITY; SAMPLE SIZE; STUDY DESIGN;

CLINICAL TRIALS AS TOPIC; DATA INTERPRETATION, STATISTICAL; HUMANS; RANDOMIZED CONTROLLED TRIALS AS TOPIC; RESEARCH DESIGN; UNITED STATES;

EID: 84861811082     PISSN: 17407745     EISSN: 17407753     Source Type: Journal    
DOI: 10.1177/1740774511433284     Document Type: Article

References (38)

1. Jean-Pierre P, Hendren S, Fiscella K, et al. Understanding the processes of patient navigation to reduce disparities in cancer care: perspectives of trained navigators from the field. J Cancer Educ. 2011 ; 26 (1). 111-20
2. Wells KJ, Battaglia TA, Dudley DJ, et al. Patient navigation: State of the art or is it science?. Cancer. 2008 ; 113: 1999-2010
3. Robinson-White S, Conroy B, Slavish KH, Rosenzweig M. Patient navigation in breast cancer: A systematic review. Cancer Nurs. 2010 ; 33: 127-40
4. Droitcour J, Silberman G, Chelimsky E. Cross-design synthesis: A new form of meta-analysis for combining results from randomized clinical trials and medical-practice databases. Int J Tech Assess Health Care. 1993 ; 9: 440-49
5. Ades AE, Sutton A. Multiparameter evidence synthesis in epidemiology and medical decision-making: Current approaches. J Roy Stat Soc Stat Soc. 2005 ; 169: 5-35
6. Peters J, Rushton L, Sutton A, et al. Bayesian methods for the cross-design synthesis of epidemiological and toxicological evidence. J Roy Stat Soc C Appl Stat. 2005 ; 54: 159-72
7. Friedman L, Furberg C, DeMets D Fundamentals of Clinical Trials. 4 th edn). Springer, New York, 2010. New York: Springer ; 2010 :
8. Murray D Design and Analysis of Group-Randomized Trials. New York: Oxford University Press ; 1998 :
9. Donner A, Klar N Design and Analysis of Cluster Randomization Trials in Health Research. London: Arnold ; 2000 :
10. Cornfield J. Randomization by group: A formal analysis. Am J Epidemiol. 1978 ; 108: 100-02
11. Kish L Survey Sampling. New York: John Wiley ; 1965 :
12. Shadish W, Cook T, Campbell D Experimental and Quasi-Experimental Designs for Generalized Causal Inference. Boston, MA: Houghton Mifflin Company ; 2002 :
13. Peikes D, Chen A, Schore J, Brown R. Effects of care coordination on hospitalization, quality of care, and health care expenditures among Medicare beneficiaries: 15 randomized trials. JAMA. 2009 ; 301: 603-18
14. Searle S Linear Models. New York: John Wiley ; 1971 :
15. Harville DA. Maximum likelihood approaches to variance component estimation and to related problems. J Am Stat Assoc. 1977 ; 72: 320-38
16. Moher D, Hopewell S, Schulz KF, et al. CONSORT 2010 explanation and elaboration: Updated guidelines for reporting parallel group randomised trials. Br Med J. 2010 ; 340: c869
17. Kent DM, Trikalinos TA, Hill MD. Are unadjusted analyses of clinical trials inappropriately biased toward the null?. Stroke. 2009 ; 40: 672-73
18. Steyerberg EW, Bossuyt PM, Lee KL. Clinical trials in acute myocardial infarction: Should we adjust for baseline characteristics?. Am Heart J. 2000 ; 139: 745-51
19. Glass G, McGaw B, Smith M Meta-analysis in Social Research. Beverly Hills, CA: Sage ; 1981 :
20. Hedges L, Olkin I Statistical Methods for Meta-Analysis. New York: Academic Press ; 1985 :
21. Borenstein M, Hedges L, Higgins J, Rothstein H Introduction to Meta-Analysis. West Sussex, UK: John Wiley ; 2009 :
22. Grissom R, Kim J Effect Sizes for Research: A Broad Practical Approach. Mahwah, NJ: Lawrence Erlbaum ; 2005 :
23. Cochrane Prospective Meta-Analysis Methods Group. Available at http://pma.cochrane.org (accessed 22 December 2011).
24. World Health Organization-International Society of Hypertension Blood Pressure Lowering Treatment Trialists' Collaboration. J Hypertens. 1998 ; 16: 127-37
25. Margitic SE, Morgan TM, Sager MA, Furberg CD. Lessons learned from a prospective meta-analysis. J Am Geriatr Soc. 1995 ; 43: 435-39
26. Trials. Turok DK Espey E Edelman AB, ed. 2011: 104.
27. Protocol for a prospective collaborative overview of all current and planned randomized trials of cholesterol treatment regimens. Cholesterol Treatment Trialists' (CTT) Collaboration. Am J Cardiol. 1995 ; 75: 1130-34
28. Margitic SE, Inouye SK, Thomas JL, et al. Hospital Outcomes Project for the Elderly (HOPE): Rationale and design for a prospective pooled analysis. J Am Geriatr Soc. 1993 ; 41: 258-67
29. Baigent C, Keech A, Kearney PM, et al. Efficacy and safety of cholesterol-lowering treatment: Prospective meta-analysis of data from 90,056 participants in 14 randomised trials of statins. Lancet. 2005 ; 366: 1267-78
30. Valsecchi MG, Masera G. A new challenge in clinical research in childhood ALL: The prospective meta-analysis strategy for intergroup collaboration. Ann Oncol. 1996 ; 7: 1005-08
31. Askie LM, Baur LA, Campbell K, et al. The Early Prevention of Obesity in CHildren (EPOCH) Collaboration-An individual patient data prospective meta-analysis. BMC Publ Health. 2010 ; 10: 728
32. Design rational and baseline characteristics of the Prospective Pravastatin Pooling (PPP) project-A combined analysis of three large-scale randomized trials: Long-term Intervention with Pravastatin in Ischemic Disease (LIPID), Cholesterol and Recurrent Events (CARE), and West of Scotland Coronary Prevention Study (WOSCOPS). Am J Cardiol. 1995 ; 76: 899-905
33. Province MA, Hadley EC, Hornbrook MC, et al. The effects of exercise on falls in elderly patients. A preplanned meta-analysis of the FICSIT Trials. Frailty and injuries: Cooperative studies of intervention techniques. JAMA. 1995 ; 273: 1341-47
34. Donner A. Statistical methodology for paired cluster designs. Am J Epidemiol. 1987 ; 126: 972-79
35. Donner A, Donald A. Analysis of data arising from a stratified design with the cluster as unit of randomization. Stat Med. 1987 ; 6: 43-52
36. Gail MH, Mark SD, Carroll RJ, Green SB, Pee D. On design considerations and randomization-based inference for community intervention trials. Stat Med. 1996 ; 15: 1069-92
37. Worthington H. Methods for pooling results from multi-center studies. J Dent Res. 2004 ;: C119-21
38. Bravata DM, Olkin I. Simple pooling versus combining in meta-analysis. Eval Health Prof. 2001 ; 24: 218-30