2019
DOI: 10.1080/10543406.2019.1632875
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Sensitivity analysis for the generalized shared-parameter model framework

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Cited by 6 publications
(12 citation statements)
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“…We note that the response is recorded for each subject at time . In this study, all measurements were observed, there is no missing values 57 59 . The interest is how the status of the response is affected by the , an design matrix of risk factor for the subject.…”
Section: Methodsmentioning
confidence: 94%
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“…We note that the response is recorded for each subject at time . In this study, all measurements were observed, there is no missing values 57 59 . The interest is how the status of the response is affected by the , an design matrix of risk factor for the subject.…”
Section: Methodsmentioning
confidence: 94%
“…Contributions of the study; firstly, when the objective of a study is to collect data repeatedly, on the response variable, for each study participant within a specified time interval(s) or at some selected time points, then any method of analysis that assumes that such measurements in the response variable are independent is likely to produce invalid statistical inferences 54 , 57 59 . This means that the linear regression model that assumes that the responses are independent cannot be used to provide valid statistical inferences.…”
Section: Discussionmentioning
confidence: 99%
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“…The outcome variable yi ${y}_{i}$ is recorded for each subject i,i=1,normal…,n $i,i=1,{\rm{\ldots }},n$. In this study, all measurements were observed, there is no missing values 34–36 . This study focuses on how the risk of hypertension is affected by the Xi ${{\bf{X}}}_{i}$, an n×p $n\times p$ design matrix of risk factor for the ith $i\mathrm{th}$ subject.…”
Section: Methodsmentioning
confidence: 99%
“…In this study, all measurements were observed, there is no missing values. [34][35][36] This study focuses on how the risk of hypertension is affected by the X i , an n p × design matrix of risk factor for the ith subject. The general form of the logistic regression model  38 39 can be written as…”
Section: Methodsmentioning
confidence: 99%