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[Propensity score matching in SPSS].

Nan fang yi ke da xue xue bao = Journal of Southern Medical University

Huang F, DU C, Sun M, Ning B, Luo Y, An S.
PMID: 26607082
Nan Fang Yi Ke Da Xue Xue Bao. 2015 Nov;35(11):1597-601.

OBJECTIVE: To realize propensity score matching in PS Matching module of SPSS and interpret the analysis results.METHODS: The R software and plug-in that could link with the corresponding versions of SPSS and propensity score matching package were installed. A...

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Huang F, DU C, Sun M, et al. [Propensity score matching in SPSS]. Nan Fang Yi Ke Da Xue Xue Bao. 2015;35(11):1597-601
Huang, F., DU, C., Sun, M., Ning, B., Luo, Y., & An, S. (2015). [Propensity score matching in SPSS]. Nan fang yi ke da xue xue bao = Journal of Southern Medical University, 35(11), 1597-601.
Huang, Fuqiang, et al. "[Propensity score matching in SPSS]." Nan fang yi ke da xue xue bao = Journal of Southern Medical University vol. 35,11 (2015): 1597-601.
Huang F, DU C, Sun M, Ning B, Luo Y, An S. [Propensity score matching in SPSS]. Nan Fang Yi Ke Da Xue Xue Bao. 2015 Nov;35(11):1597-601. Chinese. PMID: 26607082.
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Invited commentary.

The Annals of thoracic surgery

Edwards FH.
PMID: 22632491
Ann Thorac Surg. 2012 Jun;93(6):1935. doi: 10.1016/j.athoracsur.2012.03.040.

No abstract available.

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Edwards FH. Invited commentary. Ann Thorac Surg. 2012;93(6):1935doi: 10.1016/j.athoracsur.2012.03.040.
Edwards, F. H. (2012). Invited commentary. The Annals of thoracic surgery, 93(6), 1935. https://doi.org/10.1016/j.athoracsur.2012.03.040
Edwards, Fred H. "Invited commentary." The Annals of thoracic surgery vol. 93,6 (2012): 1935. doi: https://doi.org/10.1016/j.athoracsur.2012.03.040
Edwards FH. Invited commentary. Ann Thorac Surg. 2012 Jun;93(6):1935. doi: 10.1016/j.athoracsur.2012.03.040. PMID: 22632491.
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Selecting an appropriate caliper can be essential for achieving good balance with propensity score matching.

American journal of epidemiology

Lunt M.
PMID: 24114655
Am J Epidemiol. 2014 Jan 15;179(2):226-35. doi: 10.1093/aje/kwt212. Epub 2013 Oct 10.

Matching on the propensity score is widely used to estimate the effect of an exposure in observational studies. However, the quality of the matches can be affected by decisions made during the matching process, particularly the order in which...

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Lunt M. Selecting an appropriate caliper can be essential for achieving good balance with propensity score matching. Am J Epidemiol. 2013;179(2):226-35doi: 10.1093/aje/kwt212.
Lunt, M. (2014). Selecting an appropriate caliper can be essential for achieving good balance with propensity score matching. American journal of epidemiology, 179(2), 226-35. https://doi.org/10.1093/aje/kwt212
Lunt, Mark. "Selecting an appropriate caliper can be essential for achieving good balance with propensity score matching." American journal of epidemiology vol. 179,2 (2014): 226-35. doi: https://doi.org/10.1093/aje/kwt212
Lunt M. Selecting an appropriate caliper can be essential for achieving good balance with propensity score matching. Am J Epidemiol. 2014 Jan 15;179(2):226-35. doi: 10.1093/aje/kwt212. Epub 2013 Oct 10. PMID: 24114655; PMCID: PMC3873103.
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Comparison of alternative approaches to trim subjects in the tails of the propensity score distribution.

Pharmacoepidemiology and drug safety

Glynn RJ, Lunt M, Rothman KJ, Poole C, Schneeweiss S, Stürmer T.
PMID: 31385394
Pharmacoepidemiol Drug Saf. 2019 Oct;28(10):1290-1298. doi: 10.1002/pds.4846. Epub 2019 Aug 05.

PURPOSE: In nonexperimental comparative effectiveness research, restricting analysis to subjects with better overlap of covariate distributions, hence greater treatment equipoise, helps balance the groups compared and can improve validity. Three alternative approaches, derived from different perspectives, implement restriction by...

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Glynn RJ, Lunt M, Rothman KJ, et al. Comparison of alternative approaches to trim subjects in the tails of the propensity score distribution. Pharmacoepidemiol Drug Saf. 2019;28(10):1290-1298doi: 10.1002/pds.4846.
Glynn, R. J., Lunt, M., Rothman, K. J., Poole, C., Schneeweiss, S., & Stürmer, T. (2019). Comparison of alternative approaches to trim subjects in the tails of the propensity score distribution. Pharmacoepidemiology and drug safety, 28(10), 1290-1298. https://doi.org/10.1002/pds.4846
Glynn, Robert J, et al. "Comparison of alternative approaches to trim subjects in the tails of the propensity score distribution." Pharmacoepidemiology and drug safety vol. 28,10 (2019): 1290-1298. doi: https://doi.org/10.1002/pds.4846
Glynn RJ, Lunt M, Rothman KJ, Poole C, Schneeweiss S, Stürmer T. Comparison of alternative approaches to trim subjects in the tails of the propensity score distribution. Pharmacoepidemiol Drug Saf. 2019 Oct;28(10):1290-1298. doi: 10.1002/pds.4846. Epub 2019 Aug 05. PMID: 31385394.
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The prevalence and risk factors for depressive symptoms in frontline nurses under COVID-19 pandemic based on a large cross-sectional study using the propensity score-matched method.

BMC psychiatry

Wang H, Dai X, Yao Z, Zhu X, Jiang Y, Li J, Han B.
PMID: 33726704
BMC Psychiatry. 2021 Mar 16;21(1):152. doi: 10.1186/s12888-021-03143-z.

INTRODUCTION: To explore the prevalence of depressive symptoms and the associated risk factors in frontline nurses under COVID-19 pandemic.METHODS: This cross-sectional study was conducted from February 20, 2020 to March 20, 2020 and involved 562 frontline nurses. The effective...

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Wang H, Dai X, Yao Z, et al. The prevalence and risk factors for depressive symptoms in frontline nurses under COVID-19 pandemic based on a large cross-sectional study using the propensity score-matched method. BMC Psychiatry. 2021;21(1):152doi: 10.1186/s12888-021-03143-z.
Wang, H., Dai, X., Yao, Z., Zhu, X., Jiang, Y., Li, J., & Han, B. (2021). The prevalence and risk factors for depressive symptoms in frontline nurses under COVID-19 pandemic based on a large cross-sectional study using the propensity score-matched method. BMC psychiatry, 21(1), 152. https://doi.org/10.1186/s12888-021-03143-z
Wang, Hongyan, et al. "The prevalence and risk factors for depressive symptoms in frontline nurses under COVID-19 pandemic based on a large cross-sectional study using the propensity score-matched method." BMC psychiatry vol. 21,1 (2021): 152. doi: https://doi.org/10.1186/s12888-021-03143-z
Wang H, Dai X, Yao Z, Zhu X, Jiang Y, Li J, Han B. The prevalence and risk factors for depressive symptoms in frontline nurses under COVID-19 pandemic based on a large cross-sectional study using the propensity score-matched method. BMC Psychiatry. 2021 Mar 16;21(1):152. doi: 10.1186/s12888-021-03143-z. PMID: 33726704; PMCID: PMC7961324.
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More robust estimation of average treatment effects using kernel optimal matching in an observational study of spine surgical interventions.

Statistics in medicine

Kallus N, Pennicooke B, Santacatterina M.
PMID: 33665870
Stat Med. 2021 May 10;40(10):2305-2320. doi: 10.1002/sim.8904. Epub 2021 Mar 04.

Inverse probability of treatment weighting (IPTW), which has been used to estimate average treatment effects (ATE) using observational data, tenuously relies on the positivity assumption and the correct specification of the treatment assignment model, both of which are problematic...

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Kallus N, Pennicooke B, Santacatterina M. More robust estimation of average treatment effects using kernel optimal matching in an observational study of spine surgical interventions. Stat Med. 2021;40(10):2305-2320doi: 10.1002/sim.8904.
Kallus, N., Pennicooke, B., & Santacatterina, M. (2021). More robust estimation of average treatment effects using kernel optimal matching in an observational study of spine surgical interventions. Statistics in medicine, 40(10), 2305-2320. https://doi.org/10.1002/sim.8904
Kallus, Nathan, et al. "More robust estimation of average treatment effects using kernel optimal matching in an observational study of spine surgical interventions." Statistics in medicine vol. 40,10 (2021): 2305-2320. doi: https://doi.org/10.1002/sim.8904
Kallus N, Pennicooke B, Santacatterina M. More robust estimation of average treatment effects using kernel optimal matching in an observational study of spine surgical interventions. Stat Med. 2021 May 10;40(10):2305-2320. doi: 10.1002/sim.8904. Epub 2021 Mar 04. PMID: 33665870.
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Patients' perspectives on a new delivery model in primary care: A propensity score matched analysis of patient-reported outcomes in a Dutch cohort study.

Journal of evaluation in clinical practice

van den Bogaart EHA, Spreeuwenberg MD, Kroese MEAL, van Hoof SJM, Hameleers N, Ruwaard D.
PMID: 32701197
J Eval Clin Pract. 2021 Apr;27(2):344-355. doi: 10.1111/jep.13426. Epub 2020 Jun 17.

RATIONALE, AIMS AND OBJECTIVE: Primary Care Plus (PC+) focuses on the substitution of hospital-based medical care to the primary care setting without moving hospital facilities. The aim of this study was to examine whether population health and experience of...

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van den Bogaart EHA, Spreeuwenberg MD, Kroese MEAL, et al. Patients' perspectives on a new delivery model in primary care: A propensity score matched analysis of patient-reported outcomes in a Dutch cohort study. J Eval Clin Pract. 2020;27(2):344-355doi: 10.1111/jep.13426.
van den Bogaart, E. H. A., Spreeuwenberg, M. D., Kroese, M. E. A. L., van Hoof, S. J. M., Hameleers, N., & Ruwaard, D. (2021). Patients' perspectives on a new delivery model in primary care: A propensity score matched analysis of patient-reported outcomes in a Dutch cohort study. Journal of evaluation in clinical practice, 27(2), 344-355. https://doi.org/10.1111/jep.13426
van den Bogaart, Esther H A, et al. "Patients' perspectives on a new delivery model in primary care: A propensity score matched analysis of patient-reported outcomes in a Dutch cohort study." Journal of evaluation in clinical practice vol. 27,2 (2021): 344-355. doi: https://doi.org/10.1111/jep.13426
van den Bogaart EHA, Spreeuwenberg MD, Kroese MEAL, van Hoof SJM, Hameleers N, Ruwaard D. Patients' perspectives on a new delivery model in primary care: A propensity score matched analysis of patient-reported outcomes in a Dutch cohort study. J Eval Clin Pract. 2021 Apr;27(2):344-355. doi: 10.1111/jep.13426. Epub 2020 Jun 17. PMID: 32701197; PMCID: PMC7983912.
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Commentary: Off-pump surgery-Choice, not religion.

The Journal of thoracic and cardiovascular surgery

Lytle B.
PMID: 31248632
J Thorac Cardiovasc Surg. 2020 Feb;159(2):459-460. doi: 10.1016/j.jtcvs.2019.04.034. Epub 2019 Apr 24.

No abstract available.

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Lytle B. Commentary: Off-pump surgery-Choice, not religion. J Thorac Cardiovasc Surg. 2019;159(2):459-460doi: 10.1016/j.jtcvs.2019.04.034.
Lytle, B. (2020). Commentary: Off-pump surgery-Choice, not religion. The Journal of thoracic and cardiovascular surgery, 159(2), 459-460. https://doi.org/10.1016/j.jtcvs.2019.04.034
Lytle, Bruce. "Commentary: Off-pump surgery-Choice, not religion." The Journal of thoracic and cardiovascular surgery vol. 159,2 (2020): 459-460. doi: https://doi.org/10.1016/j.jtcvs.2019.04.034
Lytle B. Commentary: Off-pump surgery-Choice, not religion. J Thorac Cardiovasc Surg. 2020 Feb;159(2):459-460. doi: 10.1016/j.jtcvs.2019.04.034. Epub 2019 Apr 24. PMID: 31248632.
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Nonalcoholic fatty liver disease increases risk of incident advanced chronic kidney disease: a propensity-matched cohort study.

Journal of internal medicine

Park H, Dawwas GK, Liu X, Nguyen MH.
PMID: 31359543
J Intern Med. 2019 Dec;286(6):711-722. doi: 10.1111/joim.12964. Epub 2019 Aug 23.

BACKGROUND: As the prevalence of nonalcoholic fatty liver disease (NAFLD) escalates, understanding its potential impact on the development of chronic kidney disease (CKD) is needed.OBJECTIVE: To determine the longitudinal association of NAFLD with the development of advanced CKD in...

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Park H, Dawwas GK, Liu X, et al. Nonalcoholic fatty liver disease increases risk of incident advanced chronic kidney disease: a propensity-matched cohort study. J Intern Med. 2019;286(6):711-722doi: 10.1111/joim.12964.
Park, H., Dawwas, G. K., Liu, X., & Nguyen, M. H. (2019). Nonalcoholic fatty liver disease increases risk of incident advanced chronic kidney disease: a propensity-matched cohort study. Journal of internal medicine, 286(6), 711-722. https://doi.org/10.1111/joim.12964
Park, Haesuk, et al. "Nonalcoholic fatty liver disease increases risk of incident advanced chronic kidney disease: a propensity-matched cohort study." Journal of internal medicine vol. 286,6 (2019): 711-722. doi: https://doi.org/10.1111/joim.12964
Park H, Dawwas GK, Liu X, Nguyen MH. Nonalcoholic fatty liver disease increases risk of incident advanced chronic kidney disease: a propensity-matched cohort study. J Intern Med. 2019 Dec;286(6):711-722. doi: 10.1111/joim.12964. Epub 2019 Aug 23. PMID: 31359543; PMCID: PMC6851415.
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On and Off Pump: The Marriage of Opposites With Potential Long-Term Rewards.

Heart, lung & circulation

El Gamel A, Cochrane AD.
PMID: 31230790
Heart Lung Circ. 2019 Aug;28(8):1141-1143. doi: 10.1016/j.hlc.2019.05.173.

No abstract available.

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El Gamel A, Cochrane AD. On and Off Pump: The Marriage of Opposites With Potential Long-Term Rewards. Heart Lung Circ. 2019;28(8):1141-1143doi: 10.1016/j.hlc.2019.05.173.
El Gamel, A., & Cochrane, A. D. (2019). On and Off Pump: The Marriage of Opposites With Potential Long-Term Rewards. Heart, lung & circulation, 28(8), 1141-1143. https://doi.org/10.1016/j.hlc.2019.05.173
El Gamel, Adam, and Cochrane, Andrew D. "On and Off Pump: The Marriage of Opposites With Potential Long-Term Rewards." Heart, lung & circulation vol. 28,8 (2019): 1141-1143. doi: https://doi.org/10.1016/j.hlc.2019.05.173
El Gamel A, Cochrane AD. On and Off Pump: The Marriage of Opposites With Potential Long-Term Rewards. Heart Lung Circ. 2019 Aug;28(8):1141-1143. doi: 10.1016/j.hlc.2019.05.173. PMID: 31230790.
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Comments on propensity score matching following multiple imputation.

Statistical methods in medical research

Penning de Vries B, Groenwold R.
PMID: 27852808
Stat Methods Med Res. 2016 Dec;25(6):3066-3068. doi: 10.1177/0962280216674296.

No abstract available.

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Penning de Vries B, Groenwold R. Comments on propensity score matching following multiple imputation. Stat Methods Med Res. 2016;25(6):3066-3068doi: 10.1177/0962280216674296.
Penning de Vries, B., & Groenwold, R. (2016). Comments on propensity score matching following multiple imputation. Statistical methods in medical research, 25(6), 3066-3068. https://doi.org/10.1177/0962280216674296
Penning de Vries, Bbl, and Groenwold, Rhh. "Comments on propensity score matching following multiple imputation." Statistical methods in medical research vol. 25,6 (2016): 3066-3068. doi: https://doi.org/10.1177/0962280216674296
Penning de Vries B, Groenwold R. Comments on propensity score matching following multiple imputation. Stat Methods Med Res. 2016 Dec;25(6):3066-3068. doi: 10.1177/0962280216674296. PMID: 27852808.
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On-site percutaneous coronary intervention: Does it matter when treating patients with acute coronary syndromes?.

Revista portuguesa de cardiologia

Santos JF.
PMID: 33637359
Rev Port Cardiol (Engl Ed). 2021 Mar;40(3):189-190. doi: 10.1016/j.repc.2021.01.001. Epub 2021 Feb 23.

No abstract available.

Cite
Santos JF. On-site percutaneous coronary intervention: Does it matter when treating patients with acute coronary syndromes?. Rev Port Cardiol (Engl Ed). 2021;40(3):189-190doi: 10.1016/j.repc.2021.01.001.
Santos, J. F. (2021). On-site percutaneous coronary intervention: Does it matter when treating patients with acute coronary syndromes?. Revista portuguesa de cardiologia, 40(3), 189-190. https://doi.org/10.1016/j.repc.2021.01.001
Santos, José Ferreira. "On-site percutaneous coronary intervention: Does it matter when treating patients with acute coronary syndromes?." Revista portuguesa de cardiologia vol. 40,3 (2021): 189-190. doi: https://doi.org/10.1016/j.repc.2021.01.001
Santos JF. On-site percutaneous coronary intervention: Does it matter when treating patients with acute coronary syndromes?. Rev Port Cardiol (Engl Ed). 2021 Mar;40(3):189-190. doi: 10.1016/j.repc.2021.01.001. Epub 2021 Feb 23. Portuguese. PMID: 33637359.
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