Time-to-Optimal Control of Hypertension: Using Cox-proportional Hazard and Weibull Model - Couverture souple
Synopsis
Most statistical analysis methods do not include the length of time as a variable, and analysis is made only on the trial outcomes upon completion of the study period, as specified in the study protocol (In and Lee, 2018). However, in cases where the outcome yields different interpretations at different points in time, even over a range of only several hours or minutes, it is advantageous to use a statistical analysis method incorporating time as a variable (Kleinbaum and Klein, 2005). Survival methods apply when the focus is the time until an event, such as death or disease onset (Sowmya and David, 2007). Survival analysis is a type of statistical analysis that looks at how predictors affect the time until an event happens, rather than the probability of the event itself. It is used to analyze data in which the time until the event is of interest. As the name indicates, this method has origins in the field of medical research for evaluating the impact of medicines or medical treatment on time until death (Sheik, Selvakumar, Parkavi, Suganya and Venkatesh, 2019).
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Time-to-Optimal Control of Hypertension
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LAP LAMBERT Academic Publishing, 2024
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ISBN 13 : 9786208224967
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Time-to-Optimal Control of Hypertension
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LAP LAMBERT Academic Publishing, 2024
ISBN 10 : 6208224969
ISBN 13 : 9786208224967
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Time-to-Optimal Control of Hypertension: Using Cox-proportional Hazard and Weibull Model
Edité par
LAP LAMBERT Academic Publishing, 2024
ISBN 10 : 6208224969
ISBN 13 : 9786208224967
Neuf
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Time-to-Optimal Control of Hypertension
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Time-to-Optimal Control of Hypertension
Edité par
LAP LAMBERT Academic Publishing Okt 2024, 2024
ISBN 10 : 6208224969
ISBN 13 : 9786208224967
Neuf
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Most statistical analysis methods do not include the length of time as a variable, and analysis is made only on the trial outcomes upon completion of the study period, as specified in the study protocol (In and Lee, 2018). However, in cases where the outcome yields different interpretations at different points in time, even over a range of only several hours or minutes, it is advantageous to use a statistical analysis method incorporating time as a variable (Kleinbaum and Klein, 2005). Survival methods apply when the focus is the time until an event, such as death or disease onset (Sowmya and David, 2007). Survival analysis is a type of statistical analysis that looks at how predictors affect the time until an event happens, rather than the probability of the event itself. It is used to analyze data in which the time until the event is of interest. As the name indicates, this method has origins in the field of medical research for evaluating the impact of medicines or medical treatment on time until death (Sheik, Selvakumar, Parkavi, Suganya and Venkatesh, 2019).VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 76 pp. Englisch. N° de réf. du vendeur 9786208224967
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Time-to-Optimal Control of Hypertension : Using Cox-proportional Hazard and Weibull Model
Edité par
LAP LAMBERT Academic Publishing, 2024
ISBN 10 : 6208224969
ISBN 13 : 9786208224967
Neuf
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Most statistical analysis methods do not include the length of time as a variable, and analysis is made only on the trial outcomes upon completion of the study period, as specified in the study protocol (In and Lee, 2018). However, in cases where the outcome yields different interpretations at different points in time, even over a range of only several hours or minutes, it is advantageous to use a statistical analysis method incorporating time as a variable (Kleinbaum and Klein, 2005). Survival methods apply when the focus is the time until an event, such as death or disease onset (Sowmya and David, 2007). Survival analysis is a type of statistical analysis that looks at how predictors affect the time until an event happens, rather than the probability of the event itself. It is used to analyze data in which the time until the event is of interest. As the name indicates, this method has origins in the field of medical research for evaluating the impact of medicines or medical treatment on time until death (Sheik, Selvakumar, Parkavi, Suganya and Venkatesh, 2019). N° de réf. du vendeur 9786208224967
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Time-to-Optimal Control of Hypertension | Using Cox-proportional Hazard and Weibull Model
Edité par
LAP LAMBERT Academic Publishing, 2024
ISBN 10 : 6208224969
ISBN 13 : 9786208224967
Neuf
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Taschenbuch. Etat : Neu. Time-to-Optimal Control of Hypertension | Using Cox-proportional Hazard and Weibull Model | Ismail Abduljalil Alfa (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2024 | LAP LAMBERT Academic Publishing | EAN 9786208224967 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. N° de réf. du vendeur 130391282
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