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Pourahmad, Saeedeh, Madadizadeh, Farzan. (1404). Propensity Score Matching in Non-Interventional Studies: A Step-by-Step Guide for Clinicians and Researchers. سامانه مدیریت نشریات علمی, (), -. doi: 10.30476/ijms.2025.105595.3947
Saeedeh Pourahmad; Farzan Madadizadeh. "Propensity Score Matching in Non-Interventional Studies: A Step-by-Step Guide for Clinicians and Researchers". سامانه مدیریت نشریات علمی, , , 1404, -. doi: 10.30476/ijms.2025.105595.3947
Pourahmad, Saeedeh, Madadizadeh, Farzan. (1404). 'Propensity Score Matching in Non-Interventional Studies: A Step-by-Step Guide for Clinicians and Researchers', سامانه مدیریت نشریات علمی, (), pp. -. doi: 10.30476/ijms.2025.105595.3947
Pourahmad, Saeedeh, Madadizadeh, Farzan. Propensity Score Matching in Non-Interventional Studies: A Step-by-Step Guide for Clinicians and Researchers. سامانه مدیریت نشریات علمی, 1404; (): -. doi: 10.30476/ijms.2025.105595.3947

Propensity Score Matching in Non-Interventional Studies: A Step-by-Step Guide for Clinicians and Researchers

Iranian Journal of Medical Sciences
مقالات آماده انتشار، اصلاح شده برای چاپ، انتشار آنلاین از تاریخ 19 آبان 1404    اصل مقاله (437.88 K)
نوع مقاله: Letter(s) to the Editor
شناسه دیجیتال (DOI): 10.30476/ijms.2025.105595.3947
نویسندگان
Saeedeh Pourahmad1؛ Farzan Madadizadeh* 2
1Department of Biostatistics, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
2Center for Healthcare Data Modeling, Departments of Biostatistics and Epidemiology, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
چکیده
Selection bias occurs when a study’s sample is not representative of the entire population, which can lead to incorrect conclusions.

تازه های تحقیق

Saeedeh Pourahmad (Google Scholar)

کلیدواژه‌ها
Propensity scores؛ Naturalistic observation study؛ Selection biases؛ Sampling bias؛ Sampling errors
مراجع
  1. Rojas-Saunero LP, Glymour MM, Mayeda ER. Selection Bias in Health Research: Quantifying, Eliminating, or Exacerbating Health Disparities? Curr Epidemiol Rep. 2024;11:63-72. doi: 10.1007/s40471-023-00325-z. PubMed PMID: 38912229; PubMed Central PMCID: PMCPMC11192540.
  2. Caliendo M, Kopeinig S. Some practical guidance for the implementation of propensity score matching. Journal of economic surveys. 2008;22:31-72. doi: 10.1111/j.1467-6419.2007.00527.x.
  3. Benedetto U, Head SJ, Angelini GD, Blackstone EH. Statistical primer: propensity score matching and its alternatives. Eur J Cardiothorac Surg. 2018;53:1112-7. doi: 10.1093/ejcts/ezy167. PubMed PMID: 29684154.
  4. Li M. Using the propensity score method to estimate causal effects: A review and practical guide. Organizational Research Methods. 2013;16:188-226. doi: 10.1177/1094428112447816.
  5. Duhamel A, Labreuche J, Gronnier C, Mariette C. Statistical Tools for Propensity Score Matching. Ann Surg. 2017;265:E79-E80. doi: 10.1097/SLA.0000000000001312. PubMed PMID: 28486297.
  6. Austin PC. A comparison of 12 algorithms for matching on the propensity score. Stat Med. 2014;33:1057-69. doi: 10.1002/sim.6004. PubMed PMID: 24123228; PubMed Central PMCID: PMCPMC4285163.
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