The role of covariates in estimating treatment effects and risk in long-term clinical trials

I. Ford; John David Norrie

doi:10.1002/sim.1294

The role of covariates in estimating treatment effects and risk in long-term clinical trials

I. Ford, John David Norrie

Research output: Contribution to journal › Article › peer-review

45 Citations (Scopus)

Abstract

This paper reviews previously published work showing that the impact of including covariates in models used to estimate the magnitude of treatment effects in long-term clinical trials is different from what would be predicted from results for the normal linear model. Typically, models with and without covariates cannot simultaneously be valid. A case is made for the use of data from clinical trials to model the future risk and potential benefits of treatment in individual subjects. The methods and results are illustrated using data from the West of Scotland Coronary Prevention Study. Copyright (C) 2002 John Wiley Sons, Ltd.

Original language	English
Pages (from-to)	2899-2908
Number of pages	9
Journal	Statistics in Medicine
Volume	21
DOIs	https://doi.org/10.1002/sim.1294
Publication status	Published - 2002

Keywords

parameter estimation
exponential regression
proportional hazards model
risk modelling
PROPORTIONAL HAZARDS MODEL
CORONARY-HEART-DISEASE
REGRESSION-MODELS
PRIMARY PREVENTION
RANDOMIZED TRIALS
SURVIVAL ANALYSIS
COX MODEL
PRAVASTATIN

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10.1002/sim.1294

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title = "The role of covariates in estimating treatment effects and risk in long-term clinical trials",

abstract = "This paper reviews previously published work showing that the impact of including covariates in models used to estimate the magnitude of treatment effects in long-term clinical trials is different from what would be predicted from results for the normal linear model. Typically, models with and without covariates cannot simultaneously be valid. A case is made for the use of data from clinical trials to model the future risk and potential benefits of treatment in individual subjects. The methods and results are illustrated using data from the West of Scotland Coronary Prevention Study. Copyright (C) 2002 John Wiley Sons, Ltd.",

keywords = "parameter estimation, exponential regression, proportional hazards model, risk modelling, PROPORTIONAL HAZARDS MODEL, CORONARY-HEART-DISEASE, REGRESSION-MODELS, PRIMARY PREVENTION, RANDOMIZED TRIALS, SURVIVAL ANALYSIS, COX MODEL, PRAVASTATIN",

author = "I. Ford and Norrie, {John David}",

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journal = "Statistics in Medicine",

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T1 - The role of covariates in estimating treatment effects and risk in long-term clinical trials

AU - Ford, I.

AU - Norrie, John David

PY - 2002

Y1 - 2002

N2 - This paper reviews previously published work showing that the impact of including covariates in models used to estimate the magnitude of treatment effects in long-term clinical trials is different from what would be predicted from results for the normal linear model. Typically, models with and without covariates cannot simultaneously be valid. A case is made for the use of data from clinical trials to model the future risk and potential benefits of treatment in individual subjects. The methods and results are illustrated using data from the West of Scotland Coronary Prevention Study. Copyright (C) 2002 John Wiley Sons, Ltd.

AB - This paper reviews previously published work showing that the impact of including covariates in models used to estimate the magnitude of treatment effects in long-term clinical trials is different from what would be predicted from results for the normal linear model. Typically, models with and without covariates cannot simultaneously be valid. A case is made for the use of data from clinical trials to model the future risk and potential benefits of treatment in individual subjects. The methods and results are illustrated using data from the West of Scotland Coronary Prevention Study. Copyright (C) 2002 John Wiley Sons, Ltd.

KW - parameter estimation

KW - exponential regression

KW - proportional hazards model

KW - risk modelling

KW - PROPORTIONAL HAZARDS MODEL

KW - CORONARY-HEART-DISEASE

KW - REGRESSION-MODELS

KW - PRIMARY PREVENTION

KW - RANDOMIZED TRIALS

KW - SURVIVAL ANALYSIS

KW - COX MODEL

KW - PRAVASTATIN

U2 - 10.1002/sim.1294

DO - 10.1002/sim.1294

M3 - Article

SN - 0277-6715

VL - 21

SP - 2899

EP - 2908

JO - Statistics in Medicine

JF - Statistics in Medicine

ER -

The role of covariates in estimating treatment effects and risk in long-term clinical trials

Abstract

Keywords

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