Propensity scores: A practical method for assessing treatment effects in pain and symptom management research

Journal of Pain and Symptom Management

Volumn 48, Issue 4, 2014, Pages 711-718

  Garrido, Melissa M ^a,b  

^a VETERANS AFFAIRS MEDICAL CENTER   (United States)

^b MOUNT SINAI SCHOOL OF MEDICINE   (United States)

Author keywords

controlled; effect causality; Propensity score; randomized; treatment; trial palliative care

Indexed keywords

ARTICLE; CONFUSION; HUMAN; MEDICAL PRACTICE; MEDICAL RESEARCH; PAIN; PALLIATIVE THERAPY; PROPENSITY SCORE; SELECTION BIAS; TREATMENT OUTCOME; ANALGESIA; OUTCOME ASSESSMENT; PAIN MEASUREMENT; PREVALENCE; PROCEDURES; RANDOMIZED CONTROLLED TRIAL (TOPIC); REPRODUCIBILITY; RISK ASSESSMENT; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS; STATISTICS AND NUMERICAL DATA; SYMPTOM ASSESSMENT;

DATA INTERPRETATION, STATISTICAL; HUMANS; OUTCOME ASSESSMENT (HEALTH CARE); PAIN; PAIN MANAGEMENT; PAIN MEASUREMENT; PREVALENCE; PROPENSITY SCORE; RANDOMIZED CONTROLLED TRIALS AS TOPIC; REPRODUCIBILITY OF RESULTS; RISK ASSESSMENT; SENSITIVITY AND SPECIFICITY; SYMPTOM ASSESSMENT;

EID: 84908090874     PISSN: 08853924     EISSN: 18736513     Source Type: Journal    
DOI: 10.1016/j.jpainsymman.2014.05.014     Document Type: Article

References (25)

1. K.F. Schulz, D.G. Altman, D. Moher the CONSORT Group CONSORT 2010 statement: updated guidelines for reporting parallel group randomised trials BMC Med 8 2010 18
2. M.D. Aldridge Carlson Research methods priorities in palliative care J Palliat Med 16 2013 838 842
3. D. Hwang, J.M. Teno, P. Gozalo, and S. Mitchell Feeding tubes and health costs postinsertion in nursing home residents with advanced dementia J Pain Symptom Manage 47 2014 1116 1120
4. P. Jüni, D.G. Altman, and M. Egger Assessing the quality of controlled clinical trials BMJ 323 2001 42 46
5. P.R. Rosenbaum, and D.B. Rubin The central role of the propensity score in observational studies for causal effects Biometrika 70 1983 41 55
6. E.A. Stuart Matching methods for causal inference: a review and a look forward Stat Sci 25 2010 1 21
7. M. Caliendo, and S. Kopeinig Some practical guidance for the implementation of propensity score matching J Econ Surv 22 2008 31 72
8. J.M. Brooks, and R.L. Ohsfeldt Squeezing the balloon: propensity scores and unmeasured covariate balance Health Serv Res 48 2013 1487 1507
9. M.S. Ali, R.H.H. Groenwold, and O.H. Klungel Propensity score methods and unobserved covariate imbalance: comments on "squeezing the balloon" Health Serv Res 49 2014 1074 1082
10. S.L. Sayers, N. Hanrahan, and A. Kutney Psychiatric comorbidity and greater hospitalization risk, longer length of stay, and higher hospitalization costs in older adults with heart failure J Am Geriatr Soc 55 2007 1585 1591
11. M.M. Garrido, J.D. Penrod, and H.G. Prigerson Unmet need for mental health care among veterans receiving palliative care: assessment is not enough Am J Geriatr Psychiatry 22 2014 540 544
12. M.M. Garrido, R.L. Kane, M. Kaas, and R.A. Kane Use of mental health care by community-dwelling older adults J Am Geriatr Soc 59 2011 50 56
13. StataCorp Stata statistical software: Release 11 2009 StataCorp LP College Station, TX
14. D.B. Rubin On principles for modeling propensity scores in research Pharmacoepidemiol Drug Saf 13 2004 855 857
15. R. Mundry, and C. Nunn Stepwise model fitting and statistical inference: turning noise into signal pollution Am Nat 173 2009 119 123
16. O. Hasan, D.O. Meltzer, and S.A. Shaykevich Hospital readmission in general medicine patients: a prediction model J Gen Intern Med 25 2010 211 219
17. M.A. Brookhart, S. Schneeweiss, and K.J. Rothman Variable selection for propensity score models Am J Epidemiol 163 2006 1149 1156
18. M.M. Garrido, A.S. Kelley, and J. Paris Methods for constructing and assessing propensity scores Health Serv Res 2014 10.1111/1475-6773.12182 [Epub ahead of print]
19. D.E. Ho, K. Imai, G. King, and E.A. Stuart Matching as nonparametric preprocessing for reducing model dependence in parametric causal inference Polit Anal 15 2007 199 236
20. G.W. Imbens Nonparametric estimation of average treatment effects under exogeneity: a review Rev Econ Stat 86 2004 4 29
21. S. Weitzen, K.L. Lapane, A.Y. Toledano, A.L. Hume, and V. Mor Principles for modeling propensity scores in medical research: a systematic literature review Pharmacoepidemiol Drug Saf 13 2004 841 853
22. P.C. Austin Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity-score matched samples Stat Med 28 2009 3083 3107
23. Z. Luo, J.C. Gardiner, and C.J. Bradley Applying propensity score methods in medical research: pitfalls and prospects Med Care Res Rev 67 2010 528 554
24. J. DiNardo, and J.L. Tobias Nonparametric density and regression estimation J Econ Perspect 15 2001 11 28
25. A.C. Cameron, and P.K. Trivedi Microeconometrics using Stata (revised edition) 2010 Stata Press College Station, TX