145 related articles for article (PubMed ID: 31094048)
1. 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]
2. Instrumental variable applications using nursing home prescribing preferences in comparative effectiveness research.
Huybrechts KF; Gerhard T; Franklin JM; Levin R; Crystal S; Schneeweiss S
Pharmacoepidemiol Drug Saf; 2014 Aug; 23(8):830-8. PubMed ID: 24664805
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. 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]
5. 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]
6. 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]
7. Evaluating different physician's prescribing preference based instrumental variables in two primary care databases: a study of inhaled long-acting beta2-agonist use and the risk of myocardial infarction.
Uddin MJ; Groenwold RH; de Boer A; Afonso AS; Primatesta P; Becker C; Belitser SV; Hoes AW; Roes KC; Klungel OH
Pharmacoepidemiol Drug Saf; 2016 Mar; 25 Suppl 1():132-41. PubMed ID: 27038359
[TBL] [Abstract][Full Text] [Related]
8. Evaluating possible confounding by prescriber in comparative effectiveness research.
Franklin JM; Schneeweiss S; Huybrechts KF; Glynn RJ
Epidemiology; 2015 Mar; 26(2):238-41. PubMed ID: 25643103
[TBL] [Abstract][Full Text] [Related]
9. Instantaneous preference was a stronger instrumental variable than 3- and 6-month prescribing preference for NSAIDs.
Hennessy S; Leonard CE; Palumbo CM; Shi X; Ten Have TR
J Clin Epidemiol; 2008 Dec; 61(12):1285-1288. PubMed ID: 18495427
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Comparing the performance of two-stage residual inclusion methods when using physician's prescribing preference as an instrumental variable: unmeasured confounding and noncollapsibility.
Zhang L; Lewsey J
J Comp Eff Res; 2024 May; 13(5):e230085. PubMed ID: 38567965
[No Abstract] [Full Text] [Related]
12. Falsification Tests for Instrumental Variable Designs With an Application to Tendency to Operate.
Keele L; Zhao Q; Kelz RR; Small D
Med Care; 2019 Feb; 57(2):167-171. PubMed ID: 30520835
[TBL] [Abstract][Full Text] [Related]
13. Definition and evaluation of the monotonicity condition for preference-based instruments.
Swanson SA; Miller M; Robins JM; Hernán MA
Epidemiology; 2015 May; 26(3):414-20. PubMed ID: 25782755
[TBL] [Abstract][Full Text] [Related]
14. Assessing the performance of physician's prescribing preference as an instrumental variable in comparative effectiveness research with moderate and small sample sizes: a simulation study.
Zhang L; Lewsey J; McAllister DA
J Comp Eff Res; 2024 May; 13(5):e230044. PubMed ID: 38567966
[No Abstract] [Full Text] [Related]
15. Bias-variance trade-off in pharmacoepidemiological studies using physician-preference-based instrumental variables: a simulation study.
Ionescu-Ittu R; Delaney JA; Abrahamowicz M
Pharmacoepidemiol Drug Saf; 2009 Jul; 18(7):562-71. PubMed ID: 19437424
[TBL] [Abstract][Full Text] [Related]
16. Benzodiazepine prescribing for children, adolescents, and young adults from 2006 through 2013: A total population register-linkage study.
Sidorchuk A; Isomura K; Molero Y; Hellner C; Lichtenstein P; Chang Z; Franck J; Fernández de la Cruz L; Mataix-Cols D
PLoS Med; 2018 Aug; 15(8):e1002635. PubMed ID: 30086134
[TBL] [Abstract][Full Text] [Related]
17. Variability in emergency physician decision making about prescribing opioid analgesics.
Tamayo-Sarver JH; Dawson NV; Cydulka RK; Wigton RS; Baker DW
Ann Emerg Med; 2004 Apr; 43(4):483-93. PubMed ID: 15039692
[TBL] [Abstract][Full Text] [Related]
18. Childhood Attention-Deficit/Hyperactivity Disorder Prescribing by Prescriber Type and Specialty in Oregon Medicaid.
Klein TA; Panther S; Woo T; Odom-Maryon T; Daratha K
J Child Adolesc Psychopharmacol; 2016 Aug; 26(6):548-54. PubMed ID: 27135134
[TBL] [Abstract][Full Text] [Related]
19. Pharmaceutical payments to physicians may increase prescribing for opioids.
Nguyen TD; Bradford WD; Simon KI
Addiction; 2019 Jun; 114(6):1051-1059. PubMed ID: 30667135
[TBL] [Abstract][Full Text] [Related]
20. Development of an indicator to identify inappropriate use of benzodiazepines in elderly medical in-patients.
Batty GM; Oborne CA; Swift CG; Jackson SH
Int J Geriatr Psychiatry; 2000 Oct; 15(10):892-6. PubMed ID: 11044870
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
