Inger Persson
Senior Lecturer/Associate Professor at Department of Statistics
- E-mail:
- inger.persson@statistik.uu.se
- Visiting address:
- Ekonomikum (plan 3)
Kyrkogårdsgatan 10 - Postal address:
- Box 513
751 20 UPPSALA
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- CV:
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Publications
Recent publications
Part of Journal of critical care, 2024
- DOI for Early prediction of sepsis in intensive care patients using the machine learning algorithm NAVOY® Sepsis, a prospective randomized clinical validation study
- Download full text (pdf) of Early prediction of sepsis in intensive care patients using the machine learning algorithm NAVOY® Sepsis, a prospective randomized clinical validation study
Part of Scandinavian Journal of Caring Sciences, p. 472-485, 2023
- DOI for Self‐reported documentation of goals and outcomes of nutrition care: A cross‐sectional survey study of Scandinavian dietitians
- Download full text (pdf) of Self‐reported documentation of goals and outcomes of nutrition care: A cross‐sectional survey study of Scandinavian dietitians
Part of JMIR Formative Research, 2023
- DOI for A Machine Learning Algorithm Predicting Acute Kidney Injury in Intensive Care Unit Patients (NAVOY Acute Kidney Injury): Proof-of-Concept Study
- Download full text (pdf) of A Machine Learning Algorithm Predicting Acute Kidney Injury in Intensive Care Unit Patients (NAVOY Acute Kidney Injury): Proof-of-Concept Study
Part of Journal of health economics and outcomes research, p. 101-110, 2022
- DOI for The Potential Cost and Cost-Effectiveness Impact of Using a Machine Learning Algorithm for Early Detection of Sepsis in Intensive Care Units in Sweden
- Download full text (pdf) of The Potential Cost and Cost-Effectiveness Impact of Using a Machine Learning Algorithm for Early Detection of Sepsis in Intensive Care Units in Sweden
Part of JMIR Formative Research, 2021
- DOI for A Machine Learning Sepsis Prediction Algorithm for Intended Intensive Care Unit Use (NAVOY Sepsis): Proof-of-Concept Study
- Download full text (pdf) of A Machine Learning Sepsis Prediction Algorithm for Intended Intensive Care Unit Use (NAVOY Sepsis): Proof-of-Concept Study
All publications
Articles in journal
Part of Journal of critical care, 2024
- DOI for Early prediction of sepsis in intensive care patients using the machine learning algorithm NAVOY® Sepsis, a prospective randomized clinical validation study
- Download full text (pdf) of Early prediction of sepsis in intensive care patients using the machine learning algorithm NAVOY® Sepsis, a prospective randomized clinical validation study
Part of Scandinavian Journal of Caring Sciences, p. 472-485, 2023
- DOI for Self‐reported documentation of goals and outcomes of nutrition care: A cross‐sectional survey study of Scandinavian dietitians
- Download full text (pdf) of Self‐reported documentation of goals and outcomes of nutrition care: A cross‐sectional survey study of Scandinavian dietitians
Part of JMIR Formative Research, 2023
- DOI for A Machine Learning Algorithm Predicting Acute Kidney Injury in Intensive Care Unit Patients (NAVOY Acute Kidney Injury): Proof-of-Concept Study
- Download full text (pdf) of A Machine Learning Algorithm Predicting Acute Kidney Injury in Intensive Care Unit Patients (NAVOY Acute Kidney Injury): Proof-of-Concept Study
Part of Journal of health economics and outcomes research, p. 101-110, 2022
- DOI for The Potential Cost and Cost-Effectiveness Impact of Using a Machine Learning Algorithm for Early Detection of Sepsis in Intensive Care Units in Sweden
- Download full text (pdf) of The Potential Cost and Cost-Effectiveness Impact of Using a Machine Learning Algorithm for Early Detection of Sepsis in Intensive Care Units in Sweden
Part of JMIR Formative Research, 2021
- DOI for A Machine Learning Sepsis Prediction Algorithm for Intended Intensive Care Unit Use (NAVOY Sepsis): Proof-of-Concept Study
- Download full text (pdf) of A Machine Learning Sepsis Prediction Algorithm for Intended Intensive Care Unit Use (NAVOY Sepsis): Proof-of-Concept Study
Part of Leukemia Research, 2020
Confirming the Structure of the Survey of Attitudes Toward Statistics (SATS-36) by Swedish Students
Part of Statistics Education Research Journal, p. 83-93, 2019
Part of Health Policy, p. 688-694, 2019
Multivariate two-sample permutation tests for trials with multiple time-to-event outcomes
Part of Pharmaceutical statistics, p. 476-485, 2019
Reforming Foodservice in Elderly Care: National Actions and Local Outcomes
Part of Nutrition & Dietetics, p. 79-86, 2018
- DOI for Reforming Foodservice in Elderly Care: National Actions and Local Outcomes
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Quality indicators of nutritional care practice in elderly care
Part of The Journal of Nutrition, Health & Aging, p. 1057-1064, 2017
- DOI for Quality indicators of nutritional care practice in elderly care
- Download full text (pdf) of Quality indicators of nutritional care practice in elderly care
Part of Leukemia Research, p. 95-103, 2016
Part of Haematologica, p. 730-730, 2016
EFFECT OF FARMING PRACTICES AND FARM HISTORY ON INCIDENCE OFCOCONUT LETHAL YELLOWING IN MOZAMBIQUE
Part of African Crop Science Journal, p. 167-178, 2016
Effect of Farming Practices and Farm History on Incidence of Coconut Lethal Yellowing in Mozambique
Part of African Crop Science Journal, p. 167-178, 2016
- DOI for Effect of Farming Practices and Farm History on Incidence of Coconut Lethal Yellowing in Mozambique
- Download full text (pdf) of Effect of Farming Practices and Farm History on Incidence of Coconut Lethal Yellowing in Mozambique
Part of Leukemia, p. 1853-1860, 2016
Part of Medical Oncology, p. 66, 2014
Part of Journal of Peridontology, p. 837-847, 2010
Part of Journal of Periodontology, p. 584-593, 2010
Part of Journal of Statistics & Applications, p. 61-80, 2010
Part of Journal of Affective Disorders, p. 251-263, 2008
A Comparison of Statistical Tests for Assessing the Proportional Hazards Assumption in the Cox Model
Part of Journal of Statistics & Applications, p. 135-154, 2008
Part of Psychiatry, p. 34-50, 2007
A Comparison of Graphical Methods for Assessing the Proportional Hazards Assumption in the Cox Model
Part of Journal of Statistics & Applications, p. 1-32, 2007
Bias Of The Cox Model Hazard Ratio
Part of Journal of Modern Applied Statistical Methods, p. 90-99, 2005