What I cannot create, I do not understand.

Study hard what interests you the most in the most undisciplined, irreverent and original manner possible.

You have no responsibility to live up to what other people think you ought to accomplish. I have no responsibility to be like they expect me to be. It’s their mistake, not my failing.

—— Richard Feynman

Important Publications

The content of this post was written by me few years ago. It builds conceptual framework on JVP and carotid wave analysis for tachyarrhythmia diagnosis. Many concepts written in this post are practical with a bit of practice and spending time with patients. The techniques written here can be used as important adjunct to 12 lead surface ECG tracing in diagnosing tachyarrythmia.
2018

In this article, I will discuss about the bias introduced in estimation of coefficient of a given explanatory variable due to the presence of confounding factors. After that, I will try to demonstrate about the effect of variable collinearity on estimation of coefficient.
Confounding and collinearity,2018

Erythropoeisis is the process by which Red Blood Cells (RBCs) are formed from the mother cells (Stem Cells) inside the bone marrow. RBCs contain Hemoglobin, oxygen carrier and are destroyed in the spleen and other reticulo-endothelial cells after a pre-determined time period due to shortening of their cell membranes. The model aims to describe the process of erythropoeisis in terms of differential equations. We can combine various systems of erythropoeisis to understand dynamics of competing erythropoesis as seen in post bone marrow transplant settings.
Deterministic compartmental model for Erythropoeisis,2018
Source Document github

Background and Aim: There is limited data on predictors of acute kidney injury in acute on chronic liver failure. We developed a PIRO model (Predisposition, Injury, Response, Organ failure) for predicting acute kidney injury in a multicentric cohort of acute on chronic liver failure patients. Conclusions: The PIRO model identifies and stratifies acute on chronic liver failure patients at risk of developing acute kidney injury. It reliably predicts mortality in these patients, underscoring the prognostic significance of acute kidney injury in patients with acute on chronic liver failure. Click to know more about Predictive Nomogram
PIRO Model: Predicting AKI in ACLF. Liver Int. 2017;00:1–11, 2017
PDF doi shinyapps Code for shinyapps

All Publications

. Jugular Venous Waveforms and Carotid Pulsations in Tachyarrhythmia Diagnosis. 2018.

. Confounding and collinearity. Confounding and collinearity, 2018.

. Deterministic compartmental model for Erythropoeisis. Deterministic compartmental model for Erythropoeisis, 2018.

Source Document github

. PIRO Model: Predicting Acute Kidney Injury in Acute on Chronic liver Failure. PIRO Model: Predicting AKI in ACLF. Liver Int. 2017;00:1–11, 2017.

PDF doi shinyapps Code for shinyapps

Recent Posts

More Posts

9 min read Statistics, Bayesian
import matplotlib.pyplot as plt import pymc3 as pm import aesara.tensor as at import arviz as az import scipy.stats as st import numpy as np az.style.use('arviz-whitegrid') Multivariate bernoulli distribution Sources https://doi.org/10.1016/0047-259X(90)90084-U https://arxiv.org/pdf/1206.1874 Motivation I have recently been introduced to Bayesian framework for statistical analysis with PyMC3 package for Probabilistic Programming in Python 3. I came across to a data given to me by my friend, which had multiple columns of binary data (responses to various questions with answers in binary format, yes or no).

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8 min read Clinical Research, Hematology, Multiple Myeloma, Smoldering Myeloma, MGUS
Background While going through the literatures, I came across two landmark articles on the evolution of Monoclonal Gammopathy of Unknown Significance (MGUS) and Smoldering Multiple Myeloma (SMM) by the Mayo Clinic Group headed by Dr Robert Kyle. These articles described the evolution of MGUS and SMM into symptomatic myeloma by reporting cumulative proportion of developing symptomatic myeloma in a population based follow up study. The following figure depicts the progression of MGUS into symptomatic myeloma

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3 min read Statistics
Introduction Sample size calculation is an integral part in the inferential statistics, in which we are estimating a population parameter (our interest) from a sample statistic (data available to us). We carry out experiment on a finite numbered sample and calculate a summary measure out of it (sample statistic, lets say, sample mean) with an intent to estimate the unknown population parameter (population mean). The basic premise of statistical estimation is that as the sample size increases, the sample statistic will be reflecting the population parameter more accurately (its variation will be less around the population parameter).

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1 min read Statistics, Clinical Research
Introduction Practicing Evidence Based Medicine (EBM) has become the norm in Clinical Medicine for past few decades. Generating evidences by carrying out and publishing clinical research of various types (clinical trials, observational studies) have become a norm. It has been observed that around 80% of the clinical research findings and interpretations are not replicable, implicating that wrong clinical decisions are made based on the false findings. Major factors contributing to false results are biases created by researcher, editorial boards of journals and mis-interpretation of statistical terminologies.

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4 min read Statistics, Clinical Medicine, R, Clinical Research
Study The study in question is the ALCYONE Trial, published in NEJM in 12 December 2017 by María-Victoria Mateos, Meletios A Dimopoulos, et al. The investigators studied the effect of adding Daratumumab with Bortezomib, Melphalan and Prednisolone in patients with freshly detected Myeloma ineligible for Autologous Bone Marrow Transplantation. The study arms were Arm 1: Daratumumab + Bortezomib + Melphalan + Prednisolone and Arm 2: Bortezomib + Melphalan + Prednisolone

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Recent & Upcoming Talks

Nov 10, 2021 9:00 AM — 5:00 PM
Workshop on Biostatistics and Research Methodology
Workshop on biostatistics and research methodology for HAEMATOCON 2021. Click here to access contents of the workshop.

Jan 6, 2020 2:15 PM — 2:30 PM
75th Annual Conference of Association of Physicians of India

Nov 8, 2019 11:50 AM — 12:10 PM
60th Annual Conference of the Indian Society of Haematology & Blood Transfusion (HAEMATOCON 2019)
The talk will be on the current perspective on management strategies in patients with smoldering myeloma
Slides

Sep 15, 2019 4:30 PM — 5:00 PM
Annual Meeting of Delhi Society of Hematology
The talk will deal with interpretation of results of clinical research with special emphasis of the meaning of p value and the ways in which it is misused

Aug 9, 2019 4:00 PM — 4:45 PM
Monthly Statistical Meeting, Army Hospital (Research and Referral), New Delhi
The talk will focus on fundamental dynamics in sample size calculation.
PDF Slides

Apr 15, 2018 8:30 AM — 9:45 AM
National Hematology Update XI
Slides

Feb 10, 2018 4:00 PM — 4:15 PM
Indian Myeloma Congress
Slides Code

Aug 18, 2017 3:30 PM
Workshop on Biostatistics and Hands on Practice on Medical Data using SPSS Software
Slides

Projects

Teaching

I am a Professor in Clinical Hematology for National Board of Examinations.

I am qualified teacher in Bioethics

My Family

My wife

My wife, Mom Das is a great person, a master DIY specialist and tool maker. She is an ace painter, designer, cook and craft person.

Visit the blog site (old) and blog site (new) maintained by her.

Visit her MomDas Life Handmade (Youtube Channel).

She also has a store Artistically Yours at Zazzle.

My children

I have a little daughter, Aarotrika and even more little son, Adhrit.

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