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Book
Bayesian Design in Clinical Trials
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Year: 2022 Publisher: Basel MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

In the last decade, the number of clinical trials using Bayesian methods has grown dramatically. Nowadays, regulatory authorities appear to be more receptive to Bayesian methods than ever. The Bayesian methodology is well suited to address the issues arising in the planning, analysis, and conduct of clinical trials. Due to their flexibility, Bayesian design methods based on the accrued data of ongoing trials have been recommended by both the US Food and Drug Administration and the European Medicines Agency for dose-response trials in early clinical development. A distinctive feature of the Bayesian approach is its ability to deal with external information, such as historical data, findings from previous studies and expert opinions, through prior elicitation. In fact, it provides a framework for embedding and handling the variability of auxiliary information within the planning and analysis of the study. A growing body of literature examines the use of historical data to augment newly collected data, especially in clinical trials where patients are difficult to recruit, which is the case for rare diseases, for example. Many works explore how this can be done properly, since using historical data has been recognized as less controversial than eliciting prior information from experts’ opinions. In this book, applications of Bayesian design in the planning and analysis of clinical trials are introduced, along with methodological contributions to specific topics of Bayesian statistics. Finally, two reviews regarding the state-of-the-art of the Bayesian approach in clinical field trials are presented.

Keywords

Humanities --- Social interaction --- dose-escalation --- combination study --- modelling assumption --- interaction --- adaptive designs --- adaptive randomization --- Bayesian designs --- clinical trials --- predictive power --- target allocation --- Bayesian inference --- highest posterior density intervals --- normal approximation --- predictive analysis --- sample size determination --- bayesian meta-analysis --- clustering --- binary data --- priors --- frequentist validation --- Bayesian --- rare disease --- prior distribution --- meta-analysis --- sample size --- bridging studies --- distribution distance --- oncology --- phase I --- dose-finding --- dose–response --- bayesian inference --- prior elicitation --- latent dirichlet allocation --- clinical trial --- power-prior --- poor accrual --- Bayesian trial --- cisplatin --- doxorubicin --- oxaliplatin --- dose escalation --- PIPAC --- peritoneal carcinomatosis --- randomized controlled trial --- causal inference --- doubly robust estimation --- propensity score --- Bayesian monitoring --- futility rules --- interim analysis --- posterior and predictive probabilities --- stopping boundaries --- Bayesian trial design --- early phase dose finding --- treatment combinations --- optimal dose combination --- dose-escalation --- combination study --- modelling assumption --- interaction --- adaptive designs --- adaptive randomization --- Bayesian designs --- clinical trials --- predictive power --- target allocation --- Bayesian inference --- highest posterior density intervals --- normal approximation --- predictive analysis --- sample size determination --- bayesian meta-analysis --- clustering --- binary data --- priors --- frequentist validation --- Bayesian --- rare disease --- prior distribution --- meta-analysis --- sample size --- bridging studies --- distribution distance --- oncology --- phase I --- dose-finding --- dose–response --- bayesian inference --- prior elicitation --- latent dirichlet allocation --- clinical trial --- power-prior --- poor accrual --- Bayesian trial --- cisplatin --- doxorubicin --- oxaliplatin --- dose escalation --- PIPAC --- peritoneal carcinomatosis --- randomized controlled trial --- causal inference --- doubly robust estimation --- propensity score --- Bayesian monitoring --- futility rules --- interim analysis --- posterior and predictive probabilities --- stopping boundaries --- Bayesian trial design --- early phase dose finding --- treatment combinations --- optimal dose combination


Book
Bayesian Design in Clinical Trials
Authors: ---
Year: 2022 Publisher: Basel MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

In the last decade, the number of clinical trials using Bayesian methods has grown dramatically. Nowadays, regulatory authorities appear to be more receptive to Bayesian methods than ever. The Bayesian methodology is well suited to address the issues arising in the planning, analysis, and conduct of clinical trials. Due to their flexibility, Bayesian design methods based on the accrued data of ongoing trials have been recommended by both the US Food and Drug Administration and the European Medicines Agency for dose-response trials in early clinical development. A distinctive feature of the Bayesian approach is its ability to deal with external information, such as historical data, findings from previous studies and expert opinions, through prior elicitation. In fact, it provides a framework for embedding and handling the variability of auxiliary information within the planning and analysis of the study. A growing body of literature examines the use of historical data to augment newly collected data, especially in clinical trials where patients are difficult to recruit, which is the case for rare diseases, for example. Many works explore how this can be done properly, since using historical data has been recognized as less controversial than eliciting prior information from experts’ opinions. In this book, applications of Bayesian design in the planning and analysis of clinical trials are introduced, along with methodological contributions to specific topics of Bayesian statistics. Finally, two reviews regarding the state-of-the-art of the Bayesian approach in clinical field trials are presented.


Book
Bayesian Design in Clinical Trials
Authors: ---
Year: 2022 Publisher: Basel MDPI - Multidisciplinary Digital Publishing Institute

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Bookmark

Abstract

In the last decade, the number of clinical trials using Bayesian methods has grown dramatically. Nowadays, regulatory authorities appear to be more receptive to Bayesian methods than ever. The Bayesian methodology is well suited to address the issues arising in the planning, analysis, and conduct of clinical trials. Due to their flexibility, Bayesian design methods based on the accrued data of ongoing trials have been recommended by both the US Food and Drug Administration and the European Medicines Agency for dose-response trials in early clinical development. A distinctive feature of the Bayesian approach is its ability to deal with external information, such as historical data, findings from previous studies and expert opinions, through prior elicitation. In fact, it provides a framework for embedding and handling the variability of auxiliary information within the planning and analysis of the study. A growing body of literature examines the use of historical data to augment newly collected data, especially in clinical trials where patients are difficult to recruit, which is the case for rare diseases, for example. Many works explore how this can be done properly, since using historical data has been recognized as less controversial than eliciting prior information from experts’ opinions. In this book, applications of Bayesian design in the planning and analysis of clinical trials are introduced, along with methodological contributions to specific topics of Bayesian statistics. Finally, two reviews regarding the state-of-the-art of the Bayesian approach in clinical field trials are presented.


Book
Smart Sensors for Healthcare and Medical Applications
Authors: ---
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

This book focuses on new sensing technologies, measurement techniques, and their applications in medicine and healthcare. Specifically, the book briefly describes the potential of smart sensors in the aforementioned applications, collecting 24 articles selected and published in the Special Issue “Smart Sensors for Healthcare and Medical Applications”. We proposed this topic, being aware of the pivotal role that smart sensors can play in the improvement of healthcare services in both acute and chronic conditions as well as in prevention for a healthy life and active aging. The articles selected in this book cover a variety of topics related to the design, validation, and application of smart sensors to healthcare.

Keywords

Humanities --- Social interaction --- radiation-induced current --- dosimetry --- photodiodes --- phototransistors (MOSFETs) --- photovoltaic sensor --- CCD/CMOS --- cancer nodules detection --- phantom --- stiffness analysis --- ultrasound analysis --- visual analysis --- automatic robotic platform --- remote support for pathologists --- gait analysis --- gait correction --- electrostatic gait signal --- improved Detrended Cross-Correlation Analysis cross-correlation coefficient --- measuring system --- measurements --- contactless --- respiratory rate --- breathing pattern --- ECG electrode swaps --- ECG electrode potentials --- WCT potential change --- reconstructing correct ECG leads --- MSMinv transformation --- unicolor limb–chest electrodes --- torsional wave --- cervix --- pregnancy --- cervical stiffness --- fiber Bragg gratings --- smart textiles --- wearable systems --- cardiac monitoring --- respiratory monitoring --- precision sports --- archery --- body pressure distribution --- air-filled cell --- alternating pressure air mattress --- time of flight --- air flow --- active control system --- mobile EEG recordings --- montage-replaceable headsets --- BCI --- fiber Bragg grating --- plastic optical fiber --- non-invasive measurement --- pulse wave signals --- blood pressure --- partial least squares regression --- people counting --- bi-directional --- motion detection --- time of flight sensor --- force myography --- prosthetic fitting --- regression --- calibration --- error reduction --- linear regression --- random forest --- general regression neural network --- cross-talk --- force sensitive resistor --- MRI --- EMG --- graph theory --- electrical network --- muscle activity --- forearm --- COPD --- oxygen concentrator --- oxygen therapy --- automatic oxygen concentrator --- physical activity --- machine learning --- respiratory medicine --- portable oxygen concentrator --- oxygen delivery --- cerebral palsy --- game-based rehabilitation exercises --- computerized assessment methods --- motion tracking sensors --- Kinect sensor --- EEG --- PPG --- epilepsy --- signal processing --- brain monitoring --- artificial neural network --- predictive analysis --- dietary monitoring --- healthcare --- ring-type biosensor --- personalized digital medicine --- frailty syndrome --- sit-to-stand --- 30-s chair stand test --- wearable sensors --- fetal movement simulator --- fetal movement monitor --- maternal abdomen model --- acoustic sensor --- accelerometer --- piezoelectric diaphragm --- fiber Bragg grating sensors (FBGs) --- functional magnetic resonance imaging (fMRI) --- grasping actions detection --- motor assessment --- MR-compatible measuring systems --- abdominal movement signal --- hypopnea --- LSTM-RNN --- neural network --- oxygen saturation --- sleep apnea syndrome --- sleep–wake detection --- synchrosqueezing transform --- triaxial accelerometer --- thoracic movement signal --- multiple sclerosis --- kinematics --- surface EMG --- accelerator --- inertial sensor --- T10MW --- markerless motion capture --- automatic pushing analysis --- SCI patients --- RGB-D sensors --- respiration monitoring --- non-contact monitoring --- body movements detection --- thermal imaging --- natural sleep environments --- n/a --- unicolor limb-chest electrodes --- sleep-wake detection


Book
Smart Sensors for Healthcare and Medical Applications
Authors: ---
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

This book focuses on new sensing technologies, measurement techniques, and their applications in medicine and healthcare. Specifically, the book briefly describes the potential of smart sensors in the aforementioned applications, collecting 24 articles selected and published in the Special Issue “Smart Sensors for Healthcare and Medical Applications”. We proposed this topic, being aware of the pivotal role that smart sensors can play in the improvement of healthcare services in both acute and chronic conditions as well as in prevention for a healthy life and active aging. The articles selected in this book cover a variety of topics related to the design, validation, and application of smart sensors to healthcare.

Keywords

radiation-induced current --- dosimetry --- photodiodes --- phototransistors (MOSFETs) --- photovoltaic sensor --- CCD/CMOS --- cancer nodules detection --- phantom --- stiffness analysis --- ultrasound analysis --- visual analysis --- automatic robotic platform --- remote support for pathologists --- gait analysis --- gait correction --- electrostatic gait signal --- improved Detrended Cross-Correlation Analysis cross-correlation coefficient --- measuring system --- measurements --- contactless --- respiratory rate --- breathing pattern --- ECG electrode swaps --- ECG electrode potentials --- WCT potential change --- reconstructing correct ECG leads --- MSMinv transformation --- unicolor limb–chest electrodes --- torsional wave --- cervix --- pregnancy --- cervical stiffness --- fiber Bragg gratings --- smart textiles --- wearable systems --- cardiac monitoring --- respiratory monitoring --- precision sports --- archery --- body pressure distribution --- air-filled cell --- alternating pressure air mattress --- time of flight --- air flow --- active control system --- mobile EEG recordings --- montage-replaceable headsets --- BCI --- fiber Bragg grating --- plastic optical fiber --- non-invasive measurement --- pulse wave signals --- blood pressure --- partial least squares regression --- people counting --- bi-directional --- motion detection --- time of flight sensor --- force myography --- prosthetic fitting --- regression --- calibration --- error reduction --- linear regression --- random forest --- general regression neural network --- cross-talk --- force sensitive resistor --- MRI --- EMG --- graph theory --- electrical network --- muscle activity --- forearm --- COPD --- oxygen concentrator --- oxygen therapy --- automatic oxygen concentrator --- physical activity --- machine learning --- respiratory medicine --- portable oxygen concentrator --- oxygen delivery --- cerebral palsy --- game-based rehabilitation exercises --- computerized assessment methods --- motion tracking sensors --- Kinect sensor --- EEG --- PPG --- epilepsy --- signal processing --- brain monitoring --- artificial neural network --- predictive analysis --- dietary monitoring --- healthcare --- ring-type biosensor --- personalized digital medicine --- frailty syndrome --- sit-to-stand --- 30-s chair stand test --- wearable sensors --- fetal movement simulator --- fetal movement monitor --- maternal abdomen model --- acoustic sensor --- accelerometer --- piezoelectric diaphragm --- fiber Bragg grating sensors (FBGs) --- functional magnetic resonance imaging (fMRI) --- grasping actions detection --- motor assessment --- MR-compatible measuring systems --- abdominal movement signal --- hypopnea --- LSTM-RNN --- neural network --- oxygen saturation --- sleep apnea syndrome --- sleep–wake detection --- synchrosqueezing transform --- triaxial accelerometer --- thoracic movement signal --- multiple sclerosis --- kinematics --- surface EMG --- accelerator --- inertial sensor --- T10MW --- markerless motion capture --- automatic pushing analysis --- SCI patients --- RGB-D sensors --- respiration monitoring --- non-contact monitoring --- body movements detection --- thermal imaging --- natural sleep environments --- n/a --- unicolor limb-chest electrodes --- sleep-wake detection


Book
Smart Sensors for Healthcare and Medical Applications
Authors: ---
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

Loading...
Export citation

Choose an application

Bookmark

Abstract

This book focuses on new sensing technologies, measurement techniques, and their applications in medicine and healthcare. Specifically, the book briefly describes the potential of smart sensors in the aforementioned applications, collecting 24 articles selected and published in the Special Issue “Smart Sensors for Healthcare and Medical Applications”. We proposed this topic, being aware of the pivotal role that smart sensors can play in the improvement of healthcare services in both acute and chronic conditions as well as in prevention for a healthy life and active aging. The articles selected in this book cover a variety of topics related to the design, validation, and application of smart sensors to healthcare.

Keywords

Humanities --- Social interaction --- radiation-induced current --- dosimetry --- photodiodes --- phototransistors (MOSFETs) --- photovoltaic sensor --- CCD/CMOS --- cancer nodules detection --- phantom --- stiffness analysis --- ultrasound analysis --- visual analysis --- automatic robotic platform --- remote support for pathologists --- gait analysis --- gait correction --- electrostatic gait signal --- improved Detrended Cross-Correlation Analysis cross-correlation coefficient --- measuring system --- measurements --- contactless --- respiratory rate --- breathing pattern --- ECG electrode swaps --- ECG electrode potentials --- WCT potential change --- reconstructing correct ECG leads --- MSMinv transformation --- unicolor limb-chest electrodes --- torsional wave --- cervix --- pregnancy --- cervical stiffness --- fiber Bragg gratings --- smart textiles --- wearable systems --- cardiac monitoring --- respiratory monitoring --- precision sports --- archery --- body pressure distribution --- air-filled cell --- alternating pressure air mattress --- time of flight --- air flow --- active control system --- mobile EEG recordings --- montage-replaceable headsets --- BCI --- fiber Bragg grating --- plastic optical fiber --- non-invasive measurement --- pulse wave signals --- blood pressure --- partial least squares regression --- people counting --- bi-directional --- motion detection --- time of flight sensor --- force myography --- prosthetic fitting --- regression --- calibration --- error reduction --- linear regression --- random forest --- general regression neural network --- cross-talk --- force sensitive resistor --- MRI --- EMG --- graph theory --- electrical network --- muscle activity --- forearm --- COPD --- oxygen concentrator --- oxygen therapy --- automatic oxygen concentrator --- physical activity --- machine learning --- respiratory medicine --- portable oxygen concentrator --- oxygen delivery --- cerebral palsy --- game-based rehabilitation exercises --- computerized assessment methods --- motion tracking sensors --- Kinect sensor --- EEG --- PPG --- epilepsy --- signal processing --- brain monitoring --- artificial neural network --- predictive analysis --- dietary monitoring --- healthcare --- ring-type biosensor --- personalized digital medicine --- frailty syndrome --- sit-to-stand --- 30-s chair stand test --- wearable sensors --- fetal movement simulator --- fetal movement monitor --- maternal abdomen model --- acoustic sensor --- accelerometer --- piezoelectric diaphragm --- fiber Bragg grating sensors (FBGs) --- functional magnetic resonance imaging (fMRI) --- grasping actions detection --- motor assessment --- MR-compatible measuring systems --- abdominal movement signal --- hypopnea --- LSTM-RNN --- neural network --- oxygen saturation --- sleep apnea syndrome --- sleep-wake detection --- synchrosqueezing transform --- triaxial accelerometer --- thoracic movement signal --- multiple sclerosis --- kinematics --- surface EMG --- accelerator --- inertial sensor --- T10MW --- markerless motion capture --- automatic pushing analysis --- SCI patients --- RGB-D sensors --- respiration monitoring --- non-contact monitoring --- body movements detection --- thermal imaging --- natural sleep environments --- radiation-induced current --- dosimetry --- photodiodes --- phototransistors (MOSFETs) --- photovoltaic sensor --- CCD/CMOS --- cancer nodules detection --- phantom --- stiffness analysis --- ultrasound analysis --- visual analysis --- automatic robotic platform --- remote support for pathologists --- gait analysis --- gait correction --- electrostatic gait signal --- improved Detrended Cross-Correlation Analysis cross-correlation coefficient --- measuring system --- measurements --- contactless --- respiratory rate --- breathing pattern --- ECG electrode swaps --- ECG electrode potentials --- WCT potential change --- reconstructing correct ECG leads --- MSMinv transformation --- unicolor limb-chest electrodes --- torsional wave --- cervix --- pregnancy --- cervical stiffness --- fiber Bragg gratings --- smart textiles --- wearable systems --- cardiac monitoring --- respiratory monitoring --- precision sports --- archery --- body pressure distribution --- air-filled cell --- alternating pressure air mattress --- time of flight --- air flow --- active control system --- mobile EEG recordings --- montage-replaceable headsets --- BCI --- fiber Bragg grating --- plastic optical fiber --- non-invasive measurement --- pulse wave signals --- blood pressure --- partial least squares regression --- people counting --- bi-directional --- motion detection --- time of flight sensor --- force myography --- prosthetic fitting --- regression --- calibration --- error reduction --- linear regression --- random forest --- general regression neural network --- cross-talk --- force sensitive resistor --- MRI --- EMG --- graph theory --- electrical network --- muscle activity --- forearm --- COPD --- oxygen concentrator --- oxygen therapy --- automatic oxygen concentrator --- physical activity --- machine learning --- respiratory medicine --- portable oxygen concentrator --- oxygen delivery --- cerebral palsy --- game-based rehabilitation exercises --- computerized assessment methods --- motion tracking sensors --- Kinect sensor --- EEG --- PPG --- epilepsy --- signal processing --- brain monitoring --- artificial neural network --- predictive analysis --- dietary monitoring --- healthcare --- ring-type biosensor --- personalized digital medicine --- frailty syndrome --- sit-to-stand --- 30-s chair stand test --- wearable sensors --- fetal movement simulator --- fetal movement monitor --- maternal abdomen model --- acoustic sensor --- accelerometer --- piezoelectric diaphragm --- fiber Bragg grating sensors (FBGs) --- functional magnetic resonance imaging (fMRI) --- grasping actions detection --- motor assessment --- MR-compatible measuring systems --- abdominal movement signal --- hypopnea --- LSTM-RNN --- neural network --- oxygen saturation --- sleep apnea syndrome --- sleep-wake detection --- synchrosqueezing transform --- triaxial accelerometer --- thoracic movement signal --- multiple sclerosis --- kinematics --- surface EMG --- accelerator --- inertial sensor --- T10MW --- markerless motion capture --- automatic pushing analysis --- SCI patients --- RGB-D sensors --- respiration monitoring --- non-contact monitoring --- body movements detection --- thermal imaging --- natural sleep environments

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