"Observational Studies as Topic/statistics and numerical data"[MAJR] - Search Results

Year	Number of Results
2013	6
2014	17
2015	16
2016	17
2017	22
2018	25
2019	27
2020	20
2021	5
2022	1
2023	1
2024	13
2025	20

1

Sensitivity Analysis in Observational Research: Introducing the E-Value.

VanderWeele TJ, Ding P. VanderWeele TJ, et al. Ann Intern Med. 2017 Aug 15;167(4):268-274. doi: 10.7326/M16-2607. Epub 2017 Jul 11. Ann Intern Med. 2017. PMID: 28693043

2

The Target Trial Framework for Causal Inference From Observational Data: Why and When Is It Helpful?

Hernán MA, Dahabreh IJ, Dickerman BA, Swanson SA. Hernán MA, et al. Ann Intern Med. 2025 Mar;178(3):402-407. doi: 10.7326/ANNALS-24-01871. Epub 2025 Feb 18. Ann Intern Med. 2025. PMID: 39961105 Free PMC article.

3

Specifying a target trial prevents immortal time bias and other self-inflicted injuries in observational analyses.

Hernán MA, Sauer BC, Hernández-Díaz S, Platt R, Shrier I. Hernán MA, et al. J Clin Epidemiol. 2016 Nov;79:70-75. doi: 10.1016/j.jclinepi.2016.04.014. Epub 2016 May 27. J Clin Epidemiol. 2016. PMID: 27237061 Free PMC article. Review.

4

Sample Size Estimation in Clinical Research: From Randomized Controlled Trials to Observational Studies.

Wang X, Ji X. Wang X, et al. Chest. 2020 Jul;158(1S):S12-S20. doi: 10.1016/j.chest.2020.03.010. Chest. 2020. PMID: 32658647 Review.

5

Reading Mendelian randomisation studies: a guide, glossary, and checklist for clinicians.

Davies NM, Holmes MV, Davey Smith G. Davies NM, et al. BMJ. 2018 Jul 12;362:k601. doi: 10.1136/bmj.k601. BMJ. 2018. PMID: 30002074 Free PMC article.

6

Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in observational studies.

Austin PC, Stuart EA. Austin PC, et al. Stat Med. 2015 Dec 10;34(28):3661-79. doi: 10.1002/sim.6607. Epub 2015 Aug 3. Stat Med. 2015. PMID: 26238958 Free PMC article.

7

Clinical research linking Traditional Chinese Medicine constitution types with diseases: a literature review of 1639 observational studies.

Liang X, Wang Q, Jiang Z, Li Z, Zhang M, Yang P, Wang X, Wang Y, Qin Y, Li T, Zhang T, Wang Y, Sun J, Li Y, Luo H, Li L. Liang X, et al. J Tradit Chin Med. 2020 Aug;40(4):690-702. doi: 10.19852/j.cnki.jtcm.2020.04.019. J Tradit Chin Med. 2020. PMID: 32744037 Free article. Review.

8

Research and Reporting Considerations for Observational Studies Using Electronic Health Record Data.

Callahan A, Shah NH, Chen JH. Callahan A, et al. Ann Intern Med. 2020 Jun 2;172(11 Suppl):S79-S84. doi: 10.7326/M19-0873. Ann Intern Med. 2020. PMID: 32479175 Free PMC article. Review.

9

Be careful with ecological associations.

Roumeliotis S, Abd ElHafeez S, Jager KJ, Dekker FW, Stel VS, Pitino A, Zoccali C, Tripepi G. Roumeliotis S, et al. Nephrology (Carlton). 2021 Jun;26(6):501-505. doi: 10.1111/nep.13861. Epub 2021 Feb 17. Nephrology (Carlton). 2021. PMID: 33570780 Review.

10

How to construct regression models for observational studies (and how NOT to do it!).

Thorpe KE. Thorpe KE. Can J Anaesth. 2017 May;64(5):461-470. doi: 10.1007/s12630-017-0833-0. Epub 2017 Feb 24. Can J Anaesth. 2017. PMID: 28236060 English. No abstract available.

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