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Evaluation of statistical methods in R for estimating intervention effects using segmented linear regression in the AB interrupted time series design

• Authors : Jinyong Pang; Henian Chen; Matthew J. Valente

Subjects: Intervention effects; Interrupted time series; Segmented linear regression

• Source: BMC Medical Research Methodology, Vol 26, Iss 1 (2026)

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Multiple linear regression modeling with values below a lower limit of quantification – a statistical method comparison

• Authors : Lorena Hafermann; Isao Yokota; Linda Kalski

Subjects: Statistical method comparison; Left censoring; Lower limit of quantification

• Source: BMC Medical Research Methodology, Vol 26, Iss 1, Pp 1-12 (2026)

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Mixed effects models but not t-tests or linear regression detect progression of apathy in Parkinson's disease over seven years in a cohort: a comparative analysis.

• Authors : Hanff, Anne-Marie^1,2,3,4 (AUTHOR) ; Krüger, Rejko^1,2,5 (AUTHOR); McCrum, Christopher⁴ (AUTHOR)

• Source: BMC Medical Research Methodology. 8/24/2024, Vol. 24 Issue 1, p1-8. 8p.

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Consequences of ignoring clustering in linear regression

• Authors : Georgia Ntani; Hazel Inskip; Clive Osmond

Subjects: Clustering; Linear regression; Random intercept model

• Source: BMC Medical Research Methodology, Vol 21, Iss 1, Pp 1-13 (2021)

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Sample size calculations for model validation in linear regression analysis

• Authors : Show-Li Jan; Gwowen Shieh

Subjects: Linear regression; Model validation; Power

• Source: BMC Medical Research Methodology, Vol 19, Iss 1, Pp 1-9 (2019)

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Standardizing effect size from linear regression models with log-transformed variables for meta-analysis

• Authors : Miguel Rodríguez-Barranco; Aurelio Tobías; Daniel Redondo

Subjects: Meta-analysis; Systematic review; Log-transformation

• Source: BMC Medical Research Methodology, Vol 17, Iss 1, Pp 1-9 (2017)

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Privacy-preserving federated prediction of health outcomes using multi-center survey data

• Authors : Supratim Das; Mahdie Rafiei; Paula T. Kammer

Subjects: Federated learning; Survey data; Osteoarthritis

• Source: BMC Medical Research Methodology, Vol 26, Iss 1 (2026)

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Comparison of subset selection methods in linear regression in the context of health-related quality of life and substance abuse in Russia.

• Authors : Morozova, Olga¹; Levina, Olga¹; Uusküla, Anneli²

• Source: BMC Medical Research Methodology. Aug2015, Vol. 15, p1-17. 17p. 3 Charts, 3 Graphs.

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A Monte Carlo simulation study comparing linear regression, beta regression, variable-dispersion beta regression and fractional logit regression at recovering average difference measures in a two sample design.

• Authors : Meaney, Christopher¹ ; Moineddin, Rahim¹

• Source: BMC Medical Research Methodology. 2014, Vol. 14 Issue 1, p1-25. 25p. 6 Charts, 1 Graph.

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Erratum to: Standardizing effect size from linear regression models with log-transformed variables for meta-analysis

• Authors : Rodríguez-Barranco, Miguel; Tobías, Aurelio; Redondo, Daniel

Subjects: Medicine (General); R5-920; Erratum

• Source: BMC Med Res MethodolRISalud-ANDALUCIA. Repositorio Institucional de Salud de AndalucíainstnameBMC Medical Research Methodology, Vol 17, Iss 1, Pp 1-1

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