When and how to use instrumental variables in palliative care research

Journal of Palliative Medicine

Volumn 12, Issue 5, 2009, Pages 471-474

  Penrod, Joan D ^a,b   Goldstein, Nathan E ^a,b   Deb, Partha ^c  

^a VETERANS AFFAIRS MEDICAL CENTER   (United States)

^b MOUNT SINAI SCHOOL OF MEDICINE   (United States)

^c CITY UNIVERSITY OF NEW YORK   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ATYPICAL ANTIPSYCHOTIC AGENT; NEUROLEPTIC AGENT;

ANALYTIC METHOD; FEASIBILITY STUDY; HEALTH SERVICES RESEARCH; INSTRUMENTAL VARIABLES ESTIMATION; METHODOLOGY; PALLIATIVE THERAPY; REGRESSION ANALYSIS; RELIGION; REVIEW; VALIDITY;

CONFOUNDING FACTORS (EPIDEMIOLOGY); DATA INTERPRETATION, STATISTICAL; HUMANS; OBSERVATION; PALLIATIVE CARE; RESEARCH DESIGN; SELECTION BIAS;

EID: 66749114361     PISSN: 10966218     EISSN: None     Source Type: Journal    
DOI: 10.1089/jpm.2009.9631     Document Type: Review

References (26)

1. Penrod JD, Morrison RS: Challenges for palliative care research. J Palliat Med 2004;7:398-402.
2. Rinck GC, van den Bos GA, Kleijnen J, de Haes HJ, Schade E, Veenhof CH: Methodologic issues in effectiveness research on palliative cancer care: A systematic review. J Clin Oncol 1997;15:1697-707.
3. Ewing G, Rogers M, Barclay S, McCabe J, Martin A, Todd C: Recruiting patients into a primary care based study of palliative care: Why is it so difficult? Palliat Med 2004;18:452-459.
4. Grande GE, Todd CJ: Why are trials in palliative care so difficult? Palliat Med 2000;14:69-74.
5. Marcus SM, Gibbons RD: Estimating the efficacy of receiving treatment in randomized clinical trials with noncompli-ance. Health Serv Outcomes Res Methodol 2001;2:247-258.
6. Concato J, Shah N, Horwitz RI: Randomized, controlled trials, observational studies, and the hierarchy of research designs. N Engl J Med 2000;342:1887-1892.
7. McClellan M, McNeil BJ, Newhouse JP: Does more intensive treatment of acute myocardial infarction in the elderly reduce mortality? Analysis using instrumental variables. JAMA 1994;272:859-866.
8. Stock J, Watson M: Introduction to Econometrics. Reading MA: Addison-Wesley, 2007.
9. D'Agostino RBJ, D'Agostino RBS: Estimating treatment effects using observational data. JAMA 2007;297:314-316.
10. Newhouse JP, McClellan M: Econometrics in outcomes research: The use of instrumental variables. Annu Rev Public Health. 1998;19:17-34.
11. Angrist JD, Imbens GW, Rubin D: Identification of causal effects using instrumental variables. J Am Stat Assoc 1996;91:444-455.
12. Brooks JM, Chrischilles EA, Scott SD, Chen-Hardee SS: Was breast conserving surgery underutilized for early stage breast cancer? Instrumental variables evidence for stage II patients from Iowa. Health Serv Res 2003;38(6 Pt 1):1385-1402.
13. Malkin JD, Broder MS, Keeler E: Do longer postpartum stays reduce newborn readmissions? Analysis using instrumental variables. Health Serv Res 2000;35(5 Pt 2):1071-1091.
14. Brookhart MA, Wang PS, Solomon DH, Schneeweiss S: Evaluating short-term drug effects using a physician-specific prescribing preference as an instrumental variable. Epidemiology 2006;17:268-275.
15. Brookhart M, Wang P, Solomon D, Schneeweiss S: Instrumental variable analysis of secondary pharmacoepidemio-logic data. Epidemiology 2006;17:373-374.
16. Stukel TA, Fisher ES, Wennberg DE, Alter DA, Gottlieb DJ, Vermeulen MJ: Analysis of observational studies in the presence of treatment selection bias: Effects of invasive cardiac management on AMI survival using propensity score and instrumental variable methods. JAMA 2007;297:278-285.
17. Wang PS, Schneeweiss S, Avorn J, Fischer MA, Mogun H, Solomon DH, Brookhart MA: Risk of death in elderly users of conventional vs. Atypical antipsychotic medications. N Engl J Med 2005;353:2335-2341.
18. Wright AA, Zhang B, Ray A, Mack JW, Trice E, Balboni T, Mitchell SL, Jackson VA, Block SD, Maciejewski PK, Prigerson HG: Associations between end-of-life discussions, patient mental health, medical care near death, and caregiver bereavement adjustment. JAMA 2008;300:1665-1673.
19. Linden A, Adams JL: Evaluating disease management programme effectiveness: An introduction to instrumental variables. J Eval Clin Pract 2006;12:148-154.
20. Murray MP: Avoiding invalid instruments and coping with weak instruments. J Econ Perspect 2006;20:111-132.
21. McClellan M, Newhouse JP: Overview of a special supplement issue of health services research on instrumental variables analysis applications in health services research. Health Serv Res 2000;35(5 Part II):1061-1070.
22. Setoguchi S, Wang P, Brookhart A, Canning C, Kaci L, Schneeweiss S: Potential causes of higher mortality in elderly users of conventional and atypical antipsychotic medications. J Am Geriatr Soc 2008;56:1644-1650.
23. Vogel WB, Rittman M, Bradshaw P, Nissen D, Anderson L, Bates B, Marshall C: Outcomes from stroke rehabilitation in veterans affairs rehabilitation units: Detecting and correcting for selection bias. J Rehabil Res Dev 2002;39:367-383.
24. Hadley J, Polsky D, Mandelblatt J, Mitchell JM, Weeks JC, Wang Q, Hwang YT; OPTIONS Research Team: An exploratory instrumental variable analysis of the outcomes of localized breast cancer treatments in a medicare population. Health Econ 2003;12:171-186.
25. Kane R, Chen Q, Finch M, Blewett L, Burns R, Moskowitz M: Functional outcomes of posthospital care for stroke and hip fracture patients under medicare. J Am Geriatr Assoc 1998;46:1525-1533.
26. Blundell R and Powell JL: Endogeneity in semiparametric binary regression models. Rev Econ Stud 2004;71:655-679.