Search Results - "Davarzani, Nasser"

Bivariate Lifetime Geometric Distribution in Presence of Cure Fractions by Davarzani, Nasser, Achcar, Jorge Alberto, Smirnov, Evgueni Nikolaevich, Peeters, Ralf

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Use of Bivariate Lifetime Distributions Assuming Continuous or Discrete Data Applied to Patients with Breast Cancer by Icuma, Tatiana Reis, Buzatto, Isabela Panzeri Carlotti, Tiezzi, Daniel Guimarães, Achcar, Jorge Alberto, Davarzani, Nasser

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Circulating biomarkers of distinct pathophysiological pathways in heart failure with preserved vs. reduced left ventricular ejection fraction by Sanders-van Wijk, S., van Empel, V., Davarzani, N., Maeder, M. T., Handschin, R., Pfisterer, M. E., Brunner-La Rocca, H. P.

“…Aims The aim of this study was to evaluate whether biomarkers reflecting pathophysiological pathways are different between heart failure with preserved (HFpEF)…”
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Statistical inference for discrete middle-censored data by Davarzani, Nasser, Parsian, Ahmad

“…In this paper we consider the discrete middle censoring where lifetime, lower bound and length of censoring interval are variables with geometric distribution…”
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Inference on Marshall–Olkin Bivariate Exponential in the Presence of Dependent Left Censoring by Davarzani, Nasser, Golparvar, Leila, Parsian, Ahmad

“…This paper deals with the dependent left censoring scheme when the survival time variable and censoring variable are dependent and have Marshal–Olkin bivariate…”
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Inference Under Right Censoring in a Discrete Setup by Davarzani, Nasser, Parsian, Ahmad

“…In this article, we consider the right random censoring scheme in a discrete setup when the lifetime and censoring variables are independent and have geometric…”
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Prognostic value of pathological lymph node status and primary tumour regression grading following neoadjuvant chemotherapy – results from the MRC OE02 oesophageal cancer trial by Davarzani, Nasser, Hutchins, Gordon G A, West, Nicholas P, Hewitt, Lindsay C, Nankivell, Matthew, Cunningham, David, Allum, William H, Smyth, Elizabeth, Valeri, Nicola, Langley, Ruth E, Grabsch, Heike I

“…Aims Neoadjuvant chemotherapy (NAC) remains an important therapeutic option for advanced oesophageal cancer (OC). Pathological tumour regression grade (TRG)…”
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Dependent Right Censorship in the MOMW Distribution by Davarzani, Nasser, Parsian, Ahmad, Peeters, Ralf

“…In this paper, we consider paired survival data, in which pair members are subject to the same right censoring time, but they are dependent on each other…”
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Statistical Inference on Middle-Censored Data in a Dependent Setup by Davarzani, Nasser, Parsian, Ahmad, Peeters, Ralf

“…In this article, we deal with a dependent middle censoring with a censoring interval of fixed length, where the lifetime and lower bound of censoring interval…”
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Prognostic value of pathological lymph node status and primary tumour regression grading following neoadjuvant chemotherapy – results from the MRC OE 02 oesophageal cancer trial by Davarzani, Nasser, Hutchins, Gordon G A, West, Nicholas P, Hewitt, Lindsay C, Nankivell, Matthew, Cunningham, David, Allum, William H, Smyth, Elizabeth, Valeri, Nicola, Langley, Ruth E, Grabsch, Heike I

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Inferencia Bayesiana Para Distribuciones Weibull Segmentadas/Bayesian Inference For The Segmented Weibull Distribution by Coelho-Barros, Emilio A, Achcar, Jorge A, Martinez, Edson Z, Davarzani, Nasser, Grabsch, Heike I

“…En este artículo introducimos un nuevo modelo Bayesiano para distribuciones Weibull segmentadas, que puede ser una buena alternativa en el análisis de datos…”
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A Bayesian analysis for the bivariate geometric distribution in the presence of covariates and censored data by Davarzani, Nasser, Achcar, Jorge Alberto, Peeters, Ralf, Smirnov, Evgueni Nikolaevich

“…In this paper, we introduce a Bayesian analysis for bivariate geometric distributions applied to lifetime data in the presence of covariates and censored data…”
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N-Terminal Pro–B-Type Natriuretic Peptide–Guided Therapy in Chronic Heart Failure Reduces Repeated Hospitalizations—Results From TIME-CHF by Davarzani, Nasser, Sanders–van Wijk, Sandra, Karel, Joël, Maeder, Micha T., Leibundgut, Gregor, Gutmann, Marc, Pfisterer, Matthias E., Rickenbacher, Peter, Peeters, Ralf, Brunner–la Rocca, Hans-Peter

“…•Recurrent events are common in patients with heart failure, though hardly analyzed.•Recurrent events may reveal effects not seen by time-to-first-event…”
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Bayesian Inference For The Segmented Weibull Distribution by Coelho-Barros, Emilio A., Achcar, Jorge A., Martinez, Edson Z., Davarzani, Nasser, Grabsch, Heike I.

“…In this paper, we introduce a Bayesian approach for segmented Weibull distributions which could be a good alternative to analyze medical survival data in the…”
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NT-proBNP Guided Therapy in Chronic Heart Failure Reduces Repeated Hospitalizations – Results From TIME-CHF by Davarzani, Nasser, PhD, Wijk, Sandra Sanders-van, MD, Karel, Joël, PhD, Maeder, Micha T., MD, Leibundgut, Gregor, MD, Gutmann, Marc, MD, Pfisterer, Matthias E., MD, Rickenbacher, Peter, MD, Peeters, Ralf, PhD, Rocca, Hans-Peter Brunner-La, MD

“…Highlights • Recurrent events are common in patients with heart failure, though hardly analyzed • Recurrent events may reveal effects not seen by time-to-first…”
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Novel concept to guide systolic heart failure medication by repeated biomarker testing—results from TIME-CHF in context of predictive, preventive, and personalized medicine by Davarzani, Nasser, Sanders-van Wijk, Sandra, Maeder, Micha T., Rickenbacher, Peter, Smirnov, Evgueni, Karel, Joël, Suter, Thomas, de Boer, Rudolf A., Block, Dirk, Rolny, Vinzent, Zaugg, Christian, Pfisterer, Matthias E., Peeters, Ralf, Brunner-La Rocca, Hans-Peter

“…Background It is uncertain whether repeated measurements of a multi-target biomarker panel may help to personalize medical heart failure (HF) therapy to…”
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Bayesian Inference in Dependent Right Censoring by Davarzani, Nasser, Parsian, Ahmad

“…In this article, we consider dependent right censoring when the lifetime and censoring variables have a Marshall-Olkin bivariate exponential distribution and…”
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An Ensemble Approach to Time Dependent Classification by Van Daalen, Florian, Smirnov, Evgueni, Davarzani, Nasser, Peeters, Ralf, Karel, Joel, Brunner-La Rocca, Hans-Peter

“…A difficult aspect of a time dependent classification task is that the data are not IID sampled. To model this dependency several approaches in longitudinal…”
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