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 *

141 related articles for article (PubMed ID: 31378050)

  • 1. [The design of interrupted time series and its analytic methods].
    Yu SC; Wang QQ; Mao F; Li Y; Shi JX; Zhang MH; Long XJ; Jin CG
    Zhonghua Yu Fang Yi Xue Za Zhi; 2019 Aug; 53(8):858-864. PubMed ID: 31378050
    [TBL] [Abstract][Full Text] [Related]  

  • 2. [Design and analysis of two groups interrupt time series].
    Li Y; Yu SC; Jin CG; Yang MJ; Ma XJ; Wang QQ
    Zhonghua Liu Xing Bing Xue Za Zhi; 2019 Sep; 40(9):1159-1163. PubMed ID: 31594165
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A robust interrupted time series model for analyzing complex health care intervention data.
    Cruz M; Bender M; Ombao H
    Stat Med; 2017 Dec; 36(29):4660-4676. PubMed ID: 28850683
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Estimating effects of health policy interventions using interrupted time-series analyses: a simulation study.
    Jiang H; Feng X; Lange S; Tran A; Manthey J; Rehm J
    BMC Med Res Methodol; 2022 Aug; 22(1):235. PubMed ID: 36045338
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Design characteristics and statistical methods used in interrupted time series studies evaluating public health interventions: a review.
    Turner SL; Karahalios A; Forbes AB; Taljaard M; Grimshaw JM; Cheng AC; Bero L; McKenzie JE
    J Clin Epidemiol; 2020 Jun; 122():1-11. PubMed ID: 32109503
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Using forecast modelling to evaluate treatment effects in single-group interrupted time series analysis.
    Linden A
    J Eval Clin Pract; 2018 Aug; 24(4):695-700. PubMed ID: 29749091
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A methodological framework for model selection in interrupted time series studies.
    Lopez Bernal J; Soumerai S; Gasparrini A
    J Clin Epidemiol; 2018 Nov; 103():82-91. PubMed ID: 29885427
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Design characteristics and statistical methods used in interrupted time series studies evaluating public health interventions: protocol for a review.
    Turner SL; Karahalios A; Forbes AB; Taljaard M; Grimshaw JM; Cheng AC; Bero L; McKenzie JE
    BMJ Open; 2019 Jan; 9(1):e024096. PubMed ID: 30696676
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Reflection on modern methods: a common error in the segmented regression parameterization of interrupted time-series analyses.
    Xiao H; Augusto O; Wagenaar BH
    Int J Epidemiol; 2021 Jul; 50(3):1011-1015. PubMed ID: 33097937
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Assessing health care interventions via an interrupted time series model: Study power and design considerations.
    Cruz M; Gillen DL; Bender M; Ombao H
    Stat Med; 2019 May; 38(10):1734-1752. PubMed ID: 30616298
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Segmented regression analysis of interrupted time series data to assess outcomes of a South American road traffic alcohol policy change.
    Nistal-Nuño B
    Public Health; 2017 Sep; 150():51-59. PubMed ID: 28624588
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Combining synthetic controls and interrupted time series analysis to improve causal inference in program evaluation.
    Linden A
    J Eval Clin Pract; 2018 Apr; 24(2):447-453. PubMed ID: 29356225
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Using machine learning to identify structural breaks in single-group interrupted time series designs.
    Linden A; Yarnold PR
    J Eval Clin Pract; 2016 Dec; 22(6):851-855. PubMed ID: 27091355
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Comparison of six statistical methods for interrupted time series studies: empirical evaluation of 190 published series.
    Turner SL; Karahalios A; Forbes AB; Taljaard M; Grimshaw JM; McKenzie JE
    BMC Med Res Methodol; 2021 Jun; 21(1):134. PubMed ID: 34174809
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Methodology and reporting characteristics of studies using interrupted time series design in healthcare.
    Hudson J; Fielding S; Ramsay CR
    BMC Med Res Methodol; 2019 Jul; 19(1):137. PubMed ID: 31272382
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Design, analysis, power, and sample size calculation for three-phase interrupted time series analysis in evaluation of health policy interventions.
    Zhang B; Liu W; Lemon SC; Barton BA; Fischer MA; Lawrence C; Rahn EJ; Danila MI; Saag KG; Harris PA; Allison JJ
    J Eval Clin Pract; 2020 Jun; 26(3):826-841. PubMed ID: 31429175
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Use of interrupted time series analysis in evaluating health care quality improvements.
    Penfold RB; Zhang F
    Acad Pediatr; 2013; 13(6 Suppl):S38-44. PubMed ID: 24268083
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A reanalysis of cluster randomized trials showed interrupted time-series studies were valuable in health system evaluation.
    Fretheim A; Zhang F; Ross-Degnan D; Oxman AD; Cheyne H; Foy R; Goodacre S; Herrin J; Kerse N; McKinlay RJ; Wright A; Soumerai SB
    J Clin Epidemiol; 2015 Mar; 68(3):324-33. PubMed ID: 25499983
    [TBL] [Abstract][Full Text] [Related]  

  • 19. The use of segmented regression in analysing interrupted time series studies: an example in pre-hospital ambulance care.
    Taljaard M; McKenzie JE; Ramsay CR; Grimshaw JM
    Implement Sci; 2014 Jun; 9():77. PubMed ID: 24943919
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Using machine learning to evaluate treatment effects in multiple-group interrupted time series analysis.
    Linden A; Yarnold PR
    J Eval Clin Pract; 2018 Aug; 24(4):740-744. PubMed ID: 29888469
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.