Literature DB >> 3175393

Correcting for the bias caused by drop-outs in hypertension trials.

G D Murray1, J G Findlay.   

Abstract

A major source of bias in hypertension trials can arise from patients who are withdrawn during the course of the trial because of inadequate blood pressure control. We develop a mechanism which allows for such withdrawals while preserving the potential to make an unbiased comparison of the treatment effects. The approach is illustrated using data from a large multicentre trial of two anti-hypertensive agents in patients with mild to moderate essential hypertension.

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Year:  1988        PMID: 3175393     DOI: 10.1002/sim.4780070905

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  9 in total

1.  A modelling strategy for the analysis of clinical trials with partly missing longitudinal data.

Authors:  Ian R White; Erica Moodie; Simon G Thompson; Tim Croudace
Journal:  Int J Methods Psychiatr Res       Date:  2003       Impact factor: 4.035

Review 2.  Ketanserin. A review of its pharmacodynamic and pharmacokinetic properties, and therapeutic potential in hypertension and peripheral vascular disease.

Authors:  R N Brogden; E M Sorkin
Journal:  Drugs       Date:  1990-12       Impact factor: 9.546

3.  Imputation-based strategies for clinical trial longitudinal data with nonignorable missing values.

Authors:  Xiaowei Yang; Jinhui Li; Steven Shoptaw
Journal:  Stat Med       Date:  2008-07-10       Impact factor: 2.373

4.  Intention to treat--who should use ITT?

Authors:  J A Lewis; D Machin
Journal:  Br J Cancer       Date:  1993-10       Impact factor: 7.640

5.  Longitudinal familial analysis of blood pressure involving parametric (co)variance functions.

Authors:  Julia M P Soler; John Blangero
Journal:  BMC Genet       Date:  2003-12-31       Impact factor: 2.797

6.  Problems in dealing with missing data and informative censoring in clinical trials.

Authors:  Weichung Shih
Journal:  Curr Control Trials Cardiovasc Med       Date:  2002-01-08

7.  Local descriptive body weight and dietary norms, food availability, and 10-year change in glycosylated haemoglobin in an Australian population-based biomedical cohort.

Authors:  Suzanne J Carroll; Catherine Paquet; Natasha J Howard; Neil T Coffee; Robert J Adams; Anne W Taylor; Theo Niyonsenga; Mark Daniel
Journal:  BMC Public Health       Date:  2017-02-02       Impact factor: 3.295

8.  Contributions of Multiple Built Environment Features to 10-Year Change in Body Mass Index and Waist Circumference in a South Australian Middle-Aged Cohort.

Authors:  Suzanne J Carroll; Michael J Dale; Anne W Taylor; Mark Daniel
Journal:  Int J Environ Res Public Health       Date:  2020-01-30       Impact factor: 3.390

9.  Associations between local descriptive norms for overweight/obesity and insufficient fruit intake, individual-level diet, and 10-year change in body mass index and glycosylated haemoglobin in an Australian cohort.

Authors:  Suzanne J Carroll; Theo Niyonsenga; Neil T Coffee; Anne W Taylor; Mark Daniel
Journal:  Int J Behav Nutr Phys Act       Date:  2018-05-18       Impact factor: 6.457

  9 in total

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