These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
108 related articles for article (PubMed ID: 20583208)
41. Factors associated with antimicrobial use in nursing homes: a multilevel model. Benoit SR; Nsa W; Richards CL; Bratzler DW; Shefer AM; Steele LM; Jernigan JA J Am Geriatr Soc; 2008 Nov; 56(11):2039-44. PubMed ID: 19016937 [TBL] [Abstract][Full Text] [Related]
42. Statin prescribing in Australia: socioeconomic and sex differences. A cross-sectional study. Stocks NP; Ryan P; McElroy H; Allan J Med J Aust; 2004 Mar; 180(5):229-31. PubMed ID: 14984343 [TBL] [Abstract][Full Text] [Related]
43. Psychoactive medicine use and the risk of hip fracture in older people: a case-crossover study. Leach MJ; Pratt NL; Roughead EE Pharmacoepidemiol Drug Saf; 2015 Jun; 24(6):576-82. PubMed ID: 25879164 [TBL] [Abstract][Full Text] [Related]
44. Physician's preference-based instrumental variable analysis: is it valid and useful in a moderate-sized study? Boef AG; van Paassen J; Arbous MS; Middelkoop A; Vandenbroucke JP; le Cessie S; Dekkers OM Epidemiology; 2014 Nov; 25(6):923-7. PubMed ID: 25051311 [TBL] [Abstract][Full Text] [Related]
45. The proportion of all previous patients was a potential instrument for patients' actual prescriptions of nonsteroidal anti-inflammatory drugs. Kollhorst B; Abrahamowicz M; Pigeot I J Clin Epidemiol; 2016 Jan; 69():96-106. PubMed ID: 26341022 [TBL] [Abstract][Full Text] [Related]
46. Instrumental variables analysis using multiple databases: an example of antidepressant use and risk of hip fracture. Uddin MJ; Groenwold RH; de Boer A; Gardarsdottir H; Martin E; Candore G; Belitser SV; Hoes AW; Roes KC; Klungel OH Pharmacoepidemiol Drug Saf; 2016 Mar; 25 Suppl 1():122-31. PubMed ID: 27038358 [TBL] [Abstract][Full Text] [Related]
47. Evaluating the validity of an instrumental variable study of neuroleptics: can between-physician differences in prescribing patterns be used to estimate treatment effects? Brookhart MA; Rassen JA; Wang PS; Dormuth C; Mogun H; Schneeweiss S Med Care; 2007 Oct; 45(10 Supl 2):S116-22. PubMed ID: 17909369 [TBL] [Abstract][Full Text] [Related]
48. Instrumental variable analysis in the context of dichotomous outcome and exposure with a numerical experiment in pharmacoepidemiology. Koladjo BF; Escolano S; Tubert-Bitter P BMC Med Res Methodol; 2018 Jun; 18(1):61. PubMed ID: 29929467 [TBL] [Abstract][Full Text] [Related]
49. Evaluating short-term drug effects using a physician-specific prescribing preference as an instrumental variable. Brookhart MA; Wang PS; Solomon DH; Schneeweiss S Epidemiology; 2006 May; 17(3):268-75. PubMed ID: 16617275 [TBL] [Abstract][Full Text] [Related]
50. A tutorial on the use of instrumental variables in pharmacoepidemiology. Ertefaie A; Small DS; Flory JH; Hennessy S Pharmacoepidemiol Drug Saf; 2017 Apr; 26(4):357-367. PubMed ID: 28239929 [TBL] [Abstract][Full Text] [Related]
51. Terminal illness and the increased mortality risk of conventional antipsychotics in observational studies: a systematic review. Luijendijk HJ; de Bruin NC; Hulshof TA; Koolman X Pharmacoepidemiol Drug Saf; 2016 Feb; 25(2):113-22. PubMed ID: 26601922 [TBL] [Abstract][Full Text] [Related]
52. Power calculator for instrumental variable analysis in pharmacoepidemiology. Walker VM; Davies NM; Windmeijer F; Burgess S; Martin RM Int J Epidemiol; 2017 Oct; 46(5):1627-1632. PubMed ID: 28575313 [TBL] [Abstract][Full Text] [Related]
53. Comparison of different approaches to confounding adjustment in a study on the association of antipsychotic medication with mortality in older nursing home patients. Huybrechts KF; Brookhart MA; Rothman KJ; Silliman RA; Gerhard T; Crystal S; Schneeweiss S Am J Epidemiol; 2011 Nov; 174(9):1089-99. PubMed ID: 21934095 [TBL] [Abstract][Full Text] [Related]
54. Too much ado about instrumental variable approach: is the cure worse than the disease? Baser O Value Health; 2009; 12(8):1201-9. PubMed ID: 19497084 [TBL] [Abstract][Full Text] [Related]
55. Comparative effectiveness research considered methodological insights from simulation studies in physician's prescribing preference. Zhang L; Lewsey J; McAllister DA J Clin Epidemiol; 2022 Aug; 148():74-80. PubMed ID: 35447357 [TBL] [Abstract][Full Text] [Related]
56. Simulation study of instrumental variable approaches with an application to a study of the antidiabetic effect of bezafibrate. Cai B; Hennessy S; Flory JH; Sha D; Ten Have TR; Small DS Pharmacoepidemiol Drug Saf; 2012 May; 21 Suppl 2():114-20. PubMed ID: 22552986 [TBL] [Abstract][Full Text] [Related]
57. The missing cause approach to unmeasured confounding in pharmacoepidemiology. Abrahamowicz M; Bjerre LM; Beauchamp ME; LeLorier J; Burne R Stat Med; 2016 Mar; 35(7):1001-16. PubMed ID: 26932124 [TBL] [Abstract][Full Text] [Related]
58. Instrumental variables II: instrumental variable application-in 25 variations, the physician prescribing preference generally was strong and reduced covariate imbalance. Rassen JA; Brookhart MA; Glynn RJ; Mittleman MA; Schneeweiss S J Clin Epidemiol; 2009 Dec; 62(12):1233-41. PubMed ID: 19345561 [TBL] [Abstract][Full Text] [Related]
59. An introduction to instrumental variable assumptions, validation and estimation. Lousdal ML Emerg Themes Epidemiol; 2018; 15():1. PubMed ID: 29387137 [TBL] [Abstract][Full Text] [Related]
60. A theoretical exploration of therapeutic monomania as a physician-based instrumental variable. Potter BJ; Dormuth C; Le Lorier J Pharmacoepidemiol Drug Saf; 2020 Jan; 29 Suppl 1(Suppl 1):45-52. PubMed ID: 31094048 [TBL] [Abstract][Full Text] [Related] [Previous] [Next] [New Search]