Ngā hua rapu kaituhi

1

The correlation between baseline score and post-intervention score, and its implications for statistical analysis mā Clifton, Lei, Clifton, David A.

I whakaputaina 2019

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2

How to maintain the maximal level of blinding in randomisation for a placebo-controlled drug trial mā Clifton, Lei, Clifton, David A.

I whakaputaina 2019

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3

Comparing different ways of calculating sample size for two independent means: A worked example mā Clifton, Lei, Birks, Jacqueline, Clifton, David A.

I whakaputaina 2018

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4

Comparison of parametric and non‐parametric Bayesian inference for fusing sensory estimates in physiological time‐series analysis mā Zhu, Tingting, Javed, Hamza, Clifton, David A.

I whakaputaina 2021

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5

Machine learning generalizability across healthcare settings: insights from multi-site COVID-19 screening mā Yang, Jenny, Soltan, Andrew A. S., Clifton, David A.

I whakaputaina 2022

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6

Extending the Generalised Pareto Distribution for Novelty Detection in High-Dimensional Spaces mā Clifton, David A., Clifton, Lei, Hugueny, Samuel, Tarassenko, Lionel

I whakaputaina 2013

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7

The digital patient mā Bonnici, Timothy, Tarassenko, Lionel, Clifton, David A, Watkinson, Peter

I whakaputaina 2013

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8

The digital patient mā Bonnici, Timothy, Tarassenko, Lionel, Clifton, David A, Watkinson, Peter

I whakaputaina 2013

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9

Validation of Instantaneous Respiratory Rate Using Reflectance PPG from Different Body Positions mā Jarchi, Delaram, Salvi, Dario, Tarassenko, Lionel, Clifton, David A.

I whakaputaina 2018

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10

Analysis of the Impact of Interpolation Methods of Missing RR-intervals Caused by Motion Artifacts on HRV Features Estimations mā Morelli, Davide, Rossi, Alessio, Cairo, Massimo, Clifton, David A.

I whakaputaina 2019

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11

Error Estimation of Ultra-Short Heart Rate Variability Parameters: Effect of Missing Data Caused by Motion Artifacts mā Rossi, Alessio, Pedreschi, Dino, Clifton, David A., Morelli, Davide

I whakaputaina 2020

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12

Profiling the propagation of error from PPG to HRV features in a wearable physiological-monitoring device mā Morelli, Davide, Bartoloni, Leonardo, Colombo, Michele, Plans, David, Clifton, David A.

I whakaputaina 2018

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13

SDNN24 Estimation from Semi-Continuous HR Measures mā Morelli, Davide, Rossi, Alessio, Bartoloni, Leonardo, Cairo, Massimo, Clifton, David A.

I whakaputaina 2021

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14

Assessment of lung function using a non-invasive oscillating gas-forcing technique() mā Clifton, Lei, Clifton, David A., Hahn, Clive E.W., Farmery, Andrew D.

I whakaputaina 2013

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15

A Non-Invasive Method for Estimating Cardiopulmonary Variables Using Breath-by-Breath Injection of Two Tracer Gases mā Clifton, Lei, Clifton, David A., Hahn, Clive E. W., Farmeryy, Andrew D.

I whakaputaina 2013

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16

Manual centile-based early warning scores derived from statistical distributions of observational vital-sign data() mā Watkinson, Peter J., Pimentel, Marco A.F., Clifton, David A., Tarassenko, Lionel

I whakaputaina 2018

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17

Machine learning in patient flow: a review mā El-Bouri, Rasheed, Taylor, Thomas, Youssef, Alexey, Zhu, Tingting, Clifton, David A

I whakaputaina 2021

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18

Estimation of respiratory rate from motion contaminated photoplethysmography signals incorporating accelerometry mā Jarchi, Delaram, Charlton, Peter, Pimentel, Marco, Casson, Alex, Tarassenko, Lionel, Clifton, David A.

I whakaputaina 2019

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19

Machine learning to predict the source of campylobacteriosis using whole genome data mā Arning, Nicolas, Sheppard, Samuel K., Bayliss, Sion, Clifton, David A., Wilson, Daniel J.

I whakaputaina 2021

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20

A Deep Learning Approach for the Assessment of Signal Quality of Non-Invasive Foetal Electrocardiography mā Mertes, Gert, Long, Yuan, Liu, Zhangdaihong, Li, Yuhui, Yang, Yang, Clifton, David A.

I whakaputaina 2022

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Ngā hua rapu - Clifton, David A

The correlation between baseline score and post-intervention score, and its implications for statistical analysis mā Clifton, Lei, Clifton, David A.

How to maintain the maximal level of blinding in randomisation for a placebo-controlled drug trial mā Clifton, Lei, Clifton, David A.

Comparing different ways of calculating sample size for two independent means: A worked example mā Clifton, Lei, Birks, Jacqueline, Clifton, David A.

Comparison of parametric and non‐parametric Bayesian inference for fusing sensory estimates in physiological time‐series analysis mā Zhu, Tingting, Javed, Hamza, Clifton, David A.

Machine learning generalizability across healthcare settings: insights from multi-site COVID-19 screening mā Yang, Jenny, Soltan, Andrew A. S., Clifton, David A.

Extending the Generalised Pareto Distribution for Novelty Detection in High-Dimensional Spaces mā Clifton, David A., Clifton, Lei, Hugueny, Samuel, Tarassenko, Lionel

The digital patient mā Bonnici, Timothy, Tarassenko, Lionel, Clifton, David A, Watkinson, Peter

The digital patient mā Bonnici, Timothy, Tarassenko, Lionel, Clifton, David A, Watkinson, Peter

Validation of Instantaneous Respiratory Rate Using Reflectance PPG from Different Body Positions mā Jarchi, Delaram, Salvi, Dario, Tarassenko, Lionel, Clifton, David A.

Analysis of the Impact of Interpolation Methods of Missing RR-intervals Caused by Motion Artifacts on HRV Features Estimations mā Morelli, Davide, Rossi, Alessio, Cairo, Massimo, Clifton, David A.

Error Estimation of Ultra-Short Heart Rate Variability Parameters: Effect of Missing Data Caused by Motion Artifacts mā Rossi, Alessio, Pedreschi, Dino, Clifton, David A., Morelli, Davide

Profiling the propagation of error from PPG to HRV features in a wearable physiological-monitoring device mā Morelli, Davide, Bartoloni, Leonardo, Colombo, Michele, Plans, David, Clifton, David A.

SDNN24 Estimation from Semi-Continuous HR Measures mā Morelli, Davide, Rossi, Alessio, Bartoloni, Leonardo, Cairo, Massimo, Clifton, David A.

Assessment of lung function using a non-invasive oscillating gas-forcing technique() mā Clifton, Lei, Clifton, David A., Hahn, Clive E.W., Farmery, Andrew D.

A Non-Invasive Method for Estimating Cardiopulmonary Variables Using Breath-by-Breath Injection of Two Tracer Gases mā Clifton, Lei, Clifton, David A., Hahn, Clive E. W., Farmeryy, Andrew D.

Manual centile-based early warning scores derived from statistical distributions of observational vital-sign data() mā Watkinson, Peter J., Pimentel, Marco A.F., Clifton, David A., Tarassenko, Lionel

Machine learning in patient flow: a review mā El-Bouri, Rasheed, Taylor, Thomas, Youssef, Alexey, Zhu, Tingting, Clifton, David A

Estimation of respiratory rate from motion contaminated photoplethysmography signals incorporating accelerometry mā Jarchi, Delaram, Charlton, Peter, Pimentel, Marco, Casson, Alex, Tarassenko, Lionel, Clifton, David A.

Machine learning to predict the source of campylobacteriosis using whole genome data mā Arning, Nicolas, Sheppard, Samuel K., Bayliss, Sion, Clifton, David A., Wilson, Daniel J.

A Deep Learning Approach for the Assessment of Signal Quality of Non-Invasive Foetal Electrocardiography mā Mertes, Gert, Long, Yuan, Liu, Zhangdaihong, Li, Yuhui, Yang, Yang, Clifton, David A.

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