Regression based quasi-experimental approach when randomisation is not an option: interrupted time series analysis

被引：650

作者：

Kontopantelis, Evangelos ^{[1
,2
]}

Doran, Tim ^{[3
]}

Springate, David A. ^{[2
,4
]}

Buchan, Iain ^{[1
]}

Reeves, David ^{[2
,4
]}

机构：

[1] Univ Manchester, Inst Populat Hlth, Ctr Hlth Informat, Manchester M13 9GB, Lancs, England

[2] Univ Manchester, NIHR Sch Primary Care Res, Ctr Primary Care, Inst Populat Hlth, Manchester M13 9GB, Lancs, England

[3] Univ York, Dept Hlth Sci, York YO10 5DD, N Yorkshire, England

[4] Univ Manchester, Inst Populat Hlth, Ctr Biostat, Manchester M13 9GB, Lancs, England

来源：

BMJ-BRITISH MEDICAL JOURNAL | 2015年 / 350卷

关键词：

PRIMARY-CARE; CONTROLLED-TRIALS; UK QUALITY; PERFORMANCE;

D O I：

10.1136/bmj.h2750

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

Interrupted time series analysis is a quasi-experimental design that can evaluate an intervention effect, using longitudinal data. The advantages, disadvantages, and underlying assumptions of various modelling approaches are discussed using published examples

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页数：4

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