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.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

228 related articles for article (PubMed ID: 34596980)

  • 21. Compound treatments and transportability of causal inference.
    Hernán MA; VanderWeele TJ
    Epidemiology; 2011 May; 22(3):368-77. PubMed ID: 21399502
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Squeezing observational data for better causal inference: Methods and examples for prevention research.
    Garcia-Huidobro D; Michael Oakes J
    Int J Psychol; 2017 Apr; 52(2):96-105. PubMed ID: 27094382
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Ten things to remember about propensity scores.
    Groenwold RHH; Dekkers OM; le Cessie S
    Eur J Endocrinol; 2024 Jul; 191(1):E1-E4. PubMed ID: 38872400
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Three approaches to causal inference in regression discontinuity designs.
    Bor J; Moscoe E; Bärnighausen T
    Epidemiology; 2015 Mar; 26(2):e28-30; discussion e30. PubMed ID: 25643120
    [No Abstract]   [Full Text] [Related]  

  • 25. Propensity score methods in observational research: brief review and guide for authors.
    Andrew BY; Alan Brookhart M; Pearse R; Raghunathan K; Krishnamoorthy V
    Br J Anaesth; 2023 Nov; 131(5):805-809. PubMed ID: 37481434
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Causal effects in clinical and epidemiological studies via potential outcomes: concepts and analytical approaches.
    Little RJ; Rubin DB
    Annu Rev Public Health; 2000; 21():121-45. PubMed ID: 10884949
    [TBL] [Abstract][Full Text] [Related]  

  • 27. How to implement directed acyclic graphs to reduce bias in addiction research.
    Wouk K; Bauer AE; Gottfredson NC
    Addict Behav; 2019 Jul; 94():109-116. PubMed ID: 30292573
    [No Abstract]   [Full Text] [Related]  

  • 28. Implementation of G-computation on a simulated data set: demonstration of a causal inference technique.
    Snowden JM; Rose S; Mortimer KM
    Am J Epidemiol; 2011 Apr; 173(7):731-8. PubMed ID: 21415029
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Commentary: Causal Inference for Social Exposures.
    Kaufman JS
    Annu Rev Public Health; 2019 Apr; 40():7-21. PubMed ID: 30601720
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Causal Inference From Observational Data: New Guidance From Pulmonary, Critical Care, and Sleep Journals.
    Maslove DM; Leisman DE
    Crit Care Med; 2019 Jan; 47(1):1-2. PubMed ID: 30557240
    [No Abstract]   [Full Text] [Related]  

  • 31. A Future for Observational Epidemiology: Clarity, Credibility, Transparency.
    Harper S
    Am J Epidemiol; 2019 May; 188(5):840-845. PubMed ID: 30877294
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Causal inference with missing exposure information: Methods and applications to an obstetric study.
    Zhang Z; Liu W; Zhang B; Tang L; Zhang J
    Stat Methods Med Res; 2016 Oct; 25(5):2053-2066. PubMed ID: 24318273
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Causal inference in perioperative medicine observational research: part 2, advanced methods.
    Krishnamoorthy V; McLean D; Ohnuma T; Harris SK; Wong DJN; Wilson M; Moonesinghe R; Raghunathan K
    Br J Anaesth; 2020 Sep; 125(3):398-405. PubMed ID: 32527658
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Causal inference in perioperative medicine observational research: part 1, a graphical introduction.
    Krishnamoorthy V; Wong DJN; Wilson M; Raghunathan K; Ohnuma T; McLean D; Moonesinghe SR; Harris SK
    Br J Anaesth; 2020 Sep; 125(3):393-397. PubMed ID: 32600803
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Causal inference in suicide research: When you should (and should not!) control for extraneous variables.
    Cero I; Mitchell SM; Morris NM
    Suicide Life Threat Behav; 2021 Feb; 51(1):148-161. PubMed ID: 33624879
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Seeking causal explanations in social epidemiology.
    Kaufman JS; Cooper RS
    Am J Epidemiol; 1999 Jul; 150(2):113-20. PubMed ID: 10412955
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Estimating long-term treatment effects in observational data: A comparison of the performance of different methods under real-world uncertainty.
    Newsome SJ; Keogh RH; Daniel RM
    Stat Med; 2018 Jul; 37(15):2367-2390. PubMed ID: 29671915
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Evaluation of different approaches for confounding in nonrandomised observational data: a case-study of antipsychotics treatment.
    Sarlon E; Millier A; Aballéa S; Toumi M
    Community Ment Health J; 2014 Aug; 50(6):711-20. PubMed ID: 24696151
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Mediation analysis with multiple versions of the mediator.
    Vanderweele TJ
    Epidemiology; 2012 May; 23(3):454-63. PubMed ID: 22475830
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Causal Diagrams: Pitfalls and Tips.
    Suzuki E; Shinozaki T; Yamamoto E
    J Epidemiol; 2020 Apr; 30(4):153-162. PubMed ID: 32009103
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 12.