Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Kiranmoy Das"'
Publikováno v:
Computational Statistics. 38:809-826
Publikováno v:
Statistical Methods & Applications. 32:149-168
Autor:
Jasmeet Sidhu, Ashish Narayan Masurekar, Manash Pratim Gogoi, Caroline Fong, Tasos Ioannou, Taha Lodhi, Catriona Parker, Jizhong Liu, Amy A. Kirkwood, Anthony V. Moorman, Kiranmoy Das, Nicholas J. Goulden, Ajay Vora, Vaskar Saha, Shekhar Krishnan
Publikováno v:
British Journal of Haematology. 198:142-150
Autor:
Abhirup Banerjee, Kiranmoy Das
Publikováno v:
INDIAN JOURNAL OF APPLIED RESEARCH. :53-56
In the recent years, wireless communications are extremely useful in many disciplines including health monitoring, environment monitoring, signal processing etc. State estimation and prediction are quite challenging tasks in wireless communications.
The most common type of cancer diagnosed among children is the Acute Lymphocytic Leukemia (ALL). A study was conducted by Tata Translational Cancer Research Center (TTCRC) Kolkata, in which 236 children (diagnosed as ALL patients) were treated for th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2756279c0e764f5edbaa9347bcb1541b
Publikováno v:
Computational Statistics. 37:837-863
All developed countries are facing the problem of providing affordable and high quality healthcare in recent years. This is due to the combination of an ageing population and the technological advancement in health science which leads to an increased
Publikováno v:
Journal of the American Statistical Association. 116:558-568
As the population of the older individuals continues to grow, it is important to study the relationship among the variables measuring financial health and physical health of the older individuals t...
Autor:
Kiranmoy Das, Jayabrata Biswas
Publikováno v:
Computational Statistics. 36:241-260
Quantile regression is a powerful tool for modeling non-Gaussian data, and also for modeling different quantiles of the probability distributions of the responses. We propose a Bayesian approach of estimating the quantiles of multivariate longitudina
A semi-parametric quantile regression approach to zero-inflated and incomplete longitudinal outcomes
Publikováno v:
AStA Advances in Statistical Analysis. 104:261-283
Quantile regression models are typically used for modeling non-Gaussian outcomes, and such models allow quantile-specific inference. While there exists a vast literature on conditional quantile regression (where the model parameters are estimated pre
Autor:
Jasmeet, Sidhu, Ashish Narayan, Masurekar, Manash Pratim, Gogoi, Caroline, Fong, Tasos, Ioannou, Taha, Lodhi, Catriona, Parker, Jizhong, Liu, Amy A, Kirkwood, Anthony V, Moorman, Kiranmoy, Das, Nicholas J, Goulden, Ajay, Vora, Vaskar, Saha, Shekhar, Krishnan
Publikováno v:
British journal of haematology. 198(1)
In successive UK clinical trials (UKALL 2003, UKALL 2011) for paediatric acute lymphoblastic leukaemia (ALL), polyethylene glycol-conjugated E. coli L-asparaginase (PEG-EcASNase) 1000 iu/m