Exploratory analysis of longitudinal trials with staggered intervention times.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Published

Standard

Exploratory analysis of longitudinal trials with staggered intervention times. / Chetwynd, Amanda G.; Diggle, Peter J.; Sousa, Ines.
In: Biostatistics, Vol. 6, No. 3, 07.2005, p. 479-485.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Chetwynd, AG , Diggle, PJ & Sousa, I 2005, 'Exploratory analysis of longitudinal trials with staggered intervention times.', Biostatistics, vol. 6, no. 3, pp. 479-485. https://doi.org/10.1093/biostatistics/kxi023

APA

Chetwynd, A. G., Diggle, P. J., & Sousa, I. (2005). Exploratory analysis of longitudinal trials with staggered intervention times. Biostatistics, 6(3), 479-485. https://doi.org/10.1093/biostatistics/kxi023

Vancouver

Chetwynd AG , Diggle PJ, Sousa I. Exploratory analysis of longitudinal trials with staggered intervention times. Biostatistics. 2005 Jul;6(3):479-485. doi: 10.1093/biostatistics/kxi023

Author

Chetwynd, Amanda G. ; Diggle, Peter J. ; Sousa, Ines. / Exploratory analysis of longitudinal trials with staggered intervention times. In: Biostatistics. 2005 ; Vol. 6, No. 3. pp. 479-485.

Bibtex

@article{aad2027577374603a4e62fe6037d549d,

title = "Exploratory analysis of longitudinal trials with staggered intervention times.",

abstract = "Longitudinal trials involving surgical interventions commonly have subject-specific intervention times, due to constraints on the availability of surgeons and operating theatres. Moreover, the intervention often effects a discontinuous change in the mean response. We propose a nonparametric estimator for the mean response profile of longitudinal data with staggered intervention times and a discontinuity at the times of intervention, as an exploratory tool to assist the formulation of a suitable parametric model. We use an adaptation of the standard generalized additive model algorithm for estimation, with smoothing constants chosen by a cross-validation criterion. We illustrate the method using longitudinal data from a trial to assess the effect of lung resection surgery in the treatment of emphysema patients.",

keywords = "Back-fitting algorithm, Cross-validation, Exploratory analysis, Longitudinal trials, Lung resection surgery, Nonparametric estimator",

author = "Chetwynd, {Amanda G.} and Diggle, {Peter J.} and Ines Sousa",

note = "RAE_import_type : Journal article RAE_uoa_type : Statistics and Operational Research",

year = "2005",

month = jul,

doi = "10.1093/biostatistics/kxi023",

language = "English",

volume = "6",

pages = "479--485",

journal = "Biostatistics",

issn = "1468-4357",

publisher = "Oxford University Press",

number = "3",

}

RIS

TY - JOUR

T1 - Exploratory analysis of longitudinal trials with staggered intervention times.

AU - Chetwynd, Amanda G.

AU - Diggle, Peter J.

AU - Sousa, Ines

N1 - RAE_import_type : Journal article RAE_uoa_type : Statistics and Operational Research

PY - 2005/7

Y1 - 2005/7

N2 - Longitudinal trials involving surgical interventions commonly have subject-specific intervention times, due to constraints on the availability of surgeons and operating theatres. Moreover, the intervention often effects a discontinuous change in the mean response. We propose a nonparametric estimator for the mean response profile of longitudinal data with staggered intervention times and a discontinuity at the times of intervention, as an exploratory tool to assist the formulation of a suitable parametric model. We use an adaptation of the standard generalized additive model algorithm for estimation, with smoothing constants chosen by a cross-validation criterion. We illustrate the method using longitudinal data from a trial to assess the effect of lung resection surgery in the treatment of emphysema patients.

AB - Longitudinal trials involving surgical interventions commonly have subject-specific intervention times, due to constraints on the availability of surgeons and operating theatres. Moreover, the intervention often effects a discontinuous change in the mean response. We propose a nonparametric estimator for the mean response profile of longitudinal data with staggered intervention times and a discontinuity at the times of intervention, as an exploratory tool to assist the formulation of a suitable parametric model. We use an adaptation of the standard generalized additive model algorithm for estimation, with smoothing constants chosen by a cross-validation criterion. We illustrate the method using longitudinal data from a trial to assess the effect of lung resection surgery in the treatment of emphysema patients.

KW - Back-fitting algorithm

KW - Cross-validation

KW - Exploratory analysis

KW - Longitudinal trials

KW - Lung resection surgery

KW - Nonparametric estimator

U2 - 10.1093/biostatistics/kxi023

DO - 10.1093/biostatistics/kxi023

M3 - Journal article

VL - 6

SP - 479

EP - 485

JO - Biostatistics

JF - Biostatistics

SN - 1468-4357

IS - 3

ER -

Research

Links

Text available via DOI:

Keywords