The DOI matches its Crossref record; 71 of the 71 references it cites were found in a registry or an index.
Instrumental variable methods in comparative safety and effectiveness research
Open accessAbstract
Instrumental variable (IV) methods have been proposed as a potential approach to the common problem of uncontrolled confounding in comparative studies of medical interventions, but IV methods are unfamiliar to many researchers. The goal of this article is to provide a non‐technical, practical introduction to IV methods for comparative safety and effectiveness research. We outline the principles and basic assumptions necessary for valid IV estimation, discuss how to interpret the results of an IV study, provide a review of instruments that have been used in comparative effectiveness research, and suggest some minimal reporting standards for an IV analysis. Finally, we offer our perspective of the role of IV estimation vis‐à‐vis more traditional approaches based on statistical modeling of the exposure or outcome. We anticipate that IV methods will be often underpowered for drug safety studies of very rare outcomes, but may be potentially useful in studies of intended effects where uncontrolled confounding may be substantial. Copyright © 2010 John Wiley & Sons, Ltd.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Specification Tests in Econometrics
Hausman, J. A. (1978) · Econometrica · doi:10.2307/1913827 · Cited by 18,820
Instrumental Variables Regression with Weak Instruments
Staiger, D., & Stock, J. H. (1997) · Econometrica · doi:10.2307/2171753 · Cited by 7,081
Instrumental Variables Regression with Weak Instruments
Staiger, D., & Stock, J. (1994) · doi:10.3386/t0151 · Cited by 5,302 · cited 2×
“First, standard IV estimators possess a finite sample bias which is inversely proportional to the F statistic that tests whether the included instruments make a significant contribution to the first-stage model.(10,11) Therefore, adding weak instruments to the first stage can increase bias.”
BackgroundIdentification of Causal Effects Using Instrumental Variables
Angrist, J. D., Imbens, G. W., & Rubin, D. B. (1996) · Journal of the American Statistical Association · doi:10.1080/01621459.1996.10476902 · Cited by 4,230
Identification and estimation of local average treatment effects
Imbens, G. W., & Angrist, J. D. (1994) · Econometrica · doi:10.2307/2951620 · Cited by 4,101
Bound, J., Jaeger, D. A., & Baker, R. M. (1995) · Journal of the American Statistical Association · doi:10.1080/01621459.1995.10476536 · Cited by 3,618
Identification and Estimation of Local Average Treatment Effects
Angrist, J., & Imbens, G. (1995) · National Bureau of Economic Research · doi:10.3386/t0118 · Cited by 2,808
Instrumental Variables and GMM: Estimation and Testing
Baum, C. F., Schaffer, M. E., & Stillman, S. (2003) · The Stata Journal: Promoting communications on statistics and Stata · doi:10.1177/1536867x0300300101 · Cited by 2,649
Angrist, J. D., & Krueger, A. B. (2001) · Journal of Economic Perspectives · doi:10.1257/jep.15.4.69 · Cited by 2,355
Variable Selection for Propensity Score Models
Brookhart, M. A., Schneeweiss, S., Rothman, K. J., Glynn, R. J., Avorn, J., & Stürmer, T. (2006) · American Journal of Epidemiology · doi:10.1093/aje/kwj149 · Cited by 2,336
Self-citationRates of hyperkalemia after publication of the Randomized Aldactone Evaluation Study
Juurlink, D. N., Mamdani, M. M., Lee, D. S., Kopp, A., Austin, P. C., Laupacis, A., & Redelmeier, D. A. (2004) · New England Journal of Medicine · doi:10.1056/nejmoa040135 · Cited by 1,761
Angrist, J. D., & Imbens, G. W. (1995) · Journal of the American Statistical Association · doi:10.1080/01621459.1995.10476535 · Cited by 1,341
Alternative Tests of Independence between Stochastic Regressors and Disturbances
Wu, D.-M. (1973) · Econometrica · doi:10.2307/1914093 · Cited by 1,310
Durbin, J. (1954) · Revue de l'Institut International de Statistique / Review of the International Statistical Institute · doi:10.2307/1401917 · Cited by 1,269
An introduction to instrumental variables for epidemiologists
Greenland, S. (2000) · International Journal of Epidemiology · doi:10.1093/ije/29.4.722 · Cited by 1,156
Bound, J., Jaeger, D. A., & Baker, R. M. (1995) · Journal of the American Statistical Association · doi:10.2307/2291055 · Cited by 1,018
Instruments for Causal Inference: An Epidemiologist's Dream?
Hernán, M. A., & Robins, J. M. (2006) · Epidemiology · doi:10.1097/01.ede.0000222409.00878.37 · Cited by 961
Risk of Death in Elderly Users of Conventional vs. Atypical Antipsychotic Medications
Wang, P. S., Schneeweiss, S., Avorn, J., Fischer, M. A., Mogun, H., Solomon, D. H., & Brookhart, M. A. (2005) · New England Journal of Medicine · doi:10.1056/nejmoa052827 · Cited by 959
Self-citationInstrument Relevance in Multivariate Linear Models: A Simple Measure
Shea, J. (1997) · Review of Economics and Statistics · doi:10.1162/rest.1997.79.2.348 · Cited by 824
NONPARAMETRIC BOUNDS ON TREATMENT EFFECTS
Manski, C. F. (1989) · American Economic Review · Cited by 801
Stukel, T. A., Fisher, E. S., Wennberg, D. E., Alter, D. A., Gottlieb, D. J., & Vermeulen, M. J. (2007) · JAMA · doi:10.1001/jama.297.3.278 · Cited by 786
Methods in Social Epidemiology
Oakes, J. M., & Kaufman, J. S. (2006) · Cited by 781
McClellan, M. (1994) · JAMA · doi:10.1001/jama.1994.03520110039026 · Cited by 773
ECONOMETRICS IN OUTCOMES RESEARCH: The Use of Instrumental Variables
Newhouse, J. P., & McClellan, M. (1998) · Annual Review of Public Health · doi:10.1146/annurev.publhealth.19.1.17 · Cited by 676
Structural Equation Methods in the Social Sciences
Goldberger, A. S. (1972) · Econometrica · doi:10.2307/1913851 · Cited by 668
Bounds on Treatment Effects from Studies with Imperfect Compliance
Balke, A., & Pearl, J. (1997) · Journal of the American Statistical Association · doi:10.1080/01621459.1997.10474074 · Cited by 564
Correcting for non-compliance in randomized trials using structural nested mean models
Robins, J. M. (1994) · Communications in Statistics - Theory and Methods · doi:10.1080/03610929408831393 · Cited by 543
Instrumental Variables: Application and Limitations
Martens, E. P., Pestman, W. R., de Boer, A., Belitser, S. V., & Klungel, O. H. (2006) · Epidemiology · doi:10.1097/01.ede.0000215160.88317.cb · Cited by 464
Brookhart, M. A., Patrick, A. R., Dormuth, C., Avorn, J., Shrank, W., Cadarette, S. M., & Solomon, D. H. (2007) · American Journal of Epidemiology · doi:10.1093/aje/kwm070 · Cited by 381
Self-citationSplit-Sample Instrumental Variables Estimates of the Return to Schooling
Angrist, J. D., & Krueger, A. B. (1995) · Journal of Business & Economic Statistics · doi:10.1080/07350015.1995.10524597 · Cited by 380
Schneeweiss, S., Setoguchi, S., Brookhart, A., Dormuth, C., & Wang, P. S. (2007) · Canadian Medical Association Journal · doi:10.1503/cmaj.061250 · Cited by 366
Self-citationAprotinin during Coronary-Artery Bypass Grafting and Risk of Death
Schneeweiss, S., Seeger, J. D., Landon, J., & Walker, A. M. (2008) · New England Journal of Medicine · doi:10.1056/nejmoa0707571 · Cited by 357
Self-citationBrookhart, M. A., Wang, P. S., Solomon, D. H., & Schneeweiss, S. (2006) · Epidemiology · doi:10.1097/01.ede.0000193606.58671.c5 · Cited by 341
Self-citationMCCLELLAN, M., MCNEIL, B. J., & NEWHOUSE, J. P. (1995) · Survey of Anesthesiology · doi:10.1097/00132586-199506000-00003 · Cited by 331
Jackknife instrumental variables estimation
Angrist, J. D., Imbens, G. W., & Krueger, A. B. (1999) · Journal of Applied Econometrics · doi:10.1002/(sici)1099-1255(199901/02)14:1<57::aid-jae501>3.0.co;2-g · Cited by 321
On estimating efficacy from clinical trials
Sommer, A., & Zeger, S. L. (1991) · Statistics in Medicine · doi:10.1002/sim.4780100110 · Cited by 321
ADJUSTING FOR NON-COMPLIANCE AND CONTAMINATION IN RANDOMIZED CLINICAL TRIALS
CUZICK, J., EDWARDS, R., & SEGNAN, N. (1997) · Statistics in Medicine · doi:10.1002/(sici)1097-0258(19970515)16:9<1017::aid-sim508>3.0.co;2-v · Cited by 309
Shapiro, S. (1997) · PubMed · Cited by 299
Earle, C. C., Tsai, J. S., Gelber, R. D., Weinstein, M. C., Neumann, P. J., & Weeks, J. C. (2001) · Journal of Clinical Oncology · doi:10.1200/jco.2001.19.4.1064 · Cited by 248
Brookhart, M. A., & Schneeweiss, S. (2007) · The International Journal of Biostatistics · doi:10.2202/1557-4679.1072 · Cited by 222
Self-citationOn two stage least squares estimation of the average treatment effect in a random coefficient model
Wooldridge, J. M. (1997) · Economics Letters · doi:10.1016/s0165-1765(97)81890-3 · Cited by 211
Estimating probit models with self-selected treatments
Bhattacharya, J., Goldman, D., & McCaffrey, D. (2006) · Statistics in Medicine · doi:10.1002/sim.2226 · Cited by 191
Basu, A., Heckman, J. J., Navarro‐Lozano, S., & Urzua, S. (2007) · Health Economics · doi:10.1002/hec.1291 · Cited by 191
Walker, A. M. (1996) · PubMed · Cited by 167
Instrumental Variable Analysis for Estimation of Treatment Effects With Dichotomous Outcomes
Rassen, J. A., Schneeweiss, S., Glynn, R. J., Mittleman, M. A., & Brookhart, M. A. (2008) · American Journal of Epidemiology · doi:10.1093/aje/kwn299 · Cited by 164
Self-citationMortality Benefit of Transfer to Level I versus Level II Trauma Centers for Head‐Injured Patients
McConnell, K. J., Newgard, C. D., Mullins, R. J., Arthur, M., & Hedges, J. R. (2005) · Health Services Research · doi:10.1111/j.1475-6773.2005.0u367.x · Cited by 144
War and Wages: The Strength of Instrumental Variables and Their Sensitivity to Unobserved Biases
Small, D. S., & Rosenbaum, P. R. (2008) · Journal of the American Statistical Association · doi:10.1198/016214507000001247 · Cited by 142
Drug Copayment and Adherence in Chronic Heart Failure: Effect on Cost and Outcomes
Cole, J. A., Norman, H. S., Weatherby, L. B., & Walker, A. M. (2006) · Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy · doi:10.1592/phco.26.8.1157 · Cited by 130
Rassen, J. A., Brookhart, M. A., Glynn, R. J., Mittleman, M. A., & Schneeweiß, S. (2009) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2008.12.006 · Cited by 129
Self-citationInstrumental Variables for Logistic Regression: An Illustration
Foster, E. M. (1997) · Social Science Research · doi:10.1006/ssre.1997.0606 · Cited by 104
Bounds on Causal Effects in Three-Arm Trials With Non-Compliance
Cheng, J., & Small, D. S. (2006) · Journal of the Royal Statistical Society Series B (Statistical Methodology) · doi:10.1111/j.1467-9868.2006.00568.x · Cited by 101
Schneeweiß, S., Solomon, D. H., Wang, P. S., Rassen, J. A., & Brookhart, M. A. (2006) · Arthritis & Rheumatism · doi:10.1002/art.22219 · Cited by 92
Self-citationBrooks, J. M., Chrischilles, E. A., Scott, S. D., & Chen-Hardee, S. (2003) · Health Services Research · doi:10.1111/j.1475-6773.2003.00184.x · Cited by 81
Ho, V., Hamilton, B. H., & Roos, L. L. (2000) · PubMed · Cited by 79
Johnston, K., Gustafson, P., Levy, A. R., & Grootendorst, P. V. (2007) · Statistics in Medicine · doi:10.1002/sim.3036 · Cited by 78
Combining ecological and individual variables to reduce confounding by indication:
Johnston, S. C. (2000) · Journal of Clinical Epidemiology · doi:10.1016/s0895-4356(00)00251-1 · Cited by 72
Brooks, J. M., Irwin, C. P., Hunsicker, L. G., Flanigan, M. J., Chrischilles, E. A., & Pendergast, J. (2006) · Health Services Research · doi:10.1111/j.1475-6773.2006.00581.x · Cited by 65
Johnston, S. C., Henneman, T., McCulloch, C. E., & van der Laan, M. (2002) · American Journal of Epidemiology · doi:10.1093/aje/kwf095 · Cited by 60
Causal Models for Randomized Physician Encouragement Trials in Treating Primary Care Depression
Have, T. R. T., Elliott, M. R., Joffe, M. M., Zanutto, E. L., & Datto, C. J. (2004) · Journal of the American Statistical Association · doi:10.1198/016214504000000034 · Cited by 53
A review of instrumental variables estimation of treatment effects in the applied health sciences
Grootendorst, P. V. (2007) · Health Services and Outcomes Research Methodology · doi:10.1007/s10742-007-0023-6 · Cited by 53
Bounding Causal Effects Under Uncontrolled Confounding Using Counterfactuals
MacLehose, R. F., Kaufman, S., Kaufman, J. S., & Poole, C. (2005) · Epidemiology · doi:10.1097/01.ede.0000166500.23446.53 · Cited by 53
Uses of Ecologic Studies in the Assessment of Intended Treatment Effects
Wen, S. W. (1999) · Journal of Clinical Epidemiology · doi:10.1016/s0895-4356(98)00136-x · Cited by 52
Evidence from Nonrandomized Studies: A Case Study on the Estimation of Causal Effects
Schmoor, C., Caputo, A., & Schumacher, M. C. (2008) · American Journal of Epidemiology · doi:10.1093/aje/kwn010 · Cited by 51
Clinician preferences and the estimation of causal treatment differences
Korn, E. L., & Baumrind, S. (1998) · Statistical Science · doi:10.1214/ss/1028905885 · Cited by 49
Wang, P. S., Schneeweiß, S., Setoguchi, S., Patrick, A. R., Avorn, J., Mogun, H., Choudhry, N. K., & Brookhart, M. A. (2007) · Journal of Clinical Psychopharmacology · doi:10.1097/jcp.0b013e31815a882b · Cited by 44
Self-citationBrooks, J. M., & Chrischilles, E. A. (2007) · Medical Care · doi:10.1097/mlr.0b013e318070c069 · Cited by 43
Kaufman, S., Kaufman, J. S., & MacLehose, R. F. (2009) · Journal of Statistical Planning and Inference · doi:10.1016/j.jspi.2009.03.024 · Cited by 40
Adherence and outcomes: it's more than taking the pills
White, H. D. (2005) · The Lancet · doi:10.1016/s0140-6736(05)67761-6 · Cited by 38
Cain, L. E., Cole, S. R., Greenland, S., Brown, T. T., Chmiel, J. S., Kingsley, L., & Detels, R. (2009) · American Journal of Epidemiology · doi:10.1093/aje/kwp002 · Cited by 37
Bradbury, B. D., Do, T. P., Winkelmayer, W. C., Critchlow, C. W., & Brookhart, M. A. (2009) · Pharmacoepidemiology and Drug Safety · doi:10.1002/pds.1799 · Cited by 25
Self-citationHennessy, S., Leonard, C. E., Palumbo, C. M., Shi, X., & Have, T. R. T. (2008) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2008.01.003 · Cited by 24
Cited by
Sanderson, E., Glymour, M. M., Holmes, M. V., Kang, H., Morrison, J., Munafò, M. R., Palmer, T., Schooling, C. M., Wallace, C., Zhao, Q., et al. (2022) · Nature Reviews Methods Primers · doi:10.1038/s43586-021-00092-5 · Cited by 2,229
Skrivankova, V. W., Richmond, R. C., Woolf, B. A. R., Davies, N. M., Swanson, S. A., VanderWeele, T. J., Timpson, N. J., Higgins, J. P. T., Dimou, N., Langenberg, C., et al. (2021) · BMJ · doi:10.1136/bmj.n2233 · Cited by 1,648
Registries for Evaluating Patient Outcomes: A User’s Guide
(2020) · doi:10.23970/ahrqepcregistries4 · Cited by 960
Craig, P., Cooper, C., Gunnell, D., Haw, S., Lawson, K., Macintyre, S., Ogilvie, D., Petticrew, M., Reeves, B., Sutton, M., et al. (2012) · Journal of Epidemiology and Community Health · doi:10.1136/jech-2011-200375 · Cited by 912
Commentary: How to Report Instrumental Variable Analyses (Suggestions Welcome)
Swanson, S. A., & Hernán, M. A. (2013) · Epidemiology · doi:10.1097/ede.0b013e31828d0590 · Cited by 197
Metadata
- Authors
- Brookhart, M. A., Rassen, J. A., & Schneeweiss, S.
- Venue
- Pharmacoepidemiology and Drug Safety
- Publisher
- Wiley
- Published
- 2010-06
- Volume
- 19
- Issue
- 6
- Pages
- 537-554
- ISSN
- 1053-8569 (ISSN-L)
- 1099-1557
- OpenAlex
- W2169711166
- Cited by
- 332
- References
- 71
- FWCI
- 18.58
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.