Author Archives: Dave Flatley
Apr 28: Statistics in Practice
Models of virus growth are in the news, and this week we take a closer look at the modeling of epidemics, and introduce our newest course: June 12 to July 10 Analyzing and Modeling Covid-19 Data We’ll cover analysis of covid data broadly, and focus on the epidemiological and statistical models used to forecast theContinue reading “Apr 28: Statistics in Practice”
Conversations with Data Scientists about R and Python
Apr 21: Statistics in Practice
In this week’s Brief we take a look at Python vrs. R, and feature some conversations with data scientists. Our spotlight is on our introductory statistical programming courses: May 15 – June 12: Introduction to Python Programming May 15 – June 12: R Programming Introduction Part 1 Or, carry it further with our 3-course ProgrammingContinue reading “Apr 21: Statistics in Practice”
Apr 14: Statistics in Practice
In this week’s Brief, we explore what data on the flu can tell us about Covid-19 counter-measures. Our course spotlight is July 31 – Sept 25: Biostatistics See you in class! – Peter Bruce Founder, Author, and Senior Scientist Social Distancing and the Flu The popular models for forecasting the spread of Covid-19 have parametersContinue reading “Apr 14: Statistics in Practice”
John Snow
Apr 7: Statistics in Practice
In this week’s Brief, we look in greater detail at Elder Research, Inc., which recently acquired Statistics.com. If your organization is like most organizations, your data science initiatives may lack the direction and support they need to succeed – having a data science team does not guarantee data science success in business. If your organizationContinue reading “Apr 7: Statistics in Practice”
Observation and Quote from John Elder, IV
Elder Research Capabilities
Apr 2: Statistics in Practice – Special Epi Course
In this special Brief we step back and look at various estimates of the projected death toll from the coronavirus. Would you like to learn more about the statistical analysis of disease? We’re offering a special self-paced course to those seeking to improve their knowledge of epidemiology: April 10 – June 10: Epidemiologic Statistics (self-paced)Continue reading “Apr 2: Statistics in Practice – Special Epi Course”
Coronavirus Death Toll
Mar 31: Statistics in Practice
In this week’s Brief, we look at p-values. Plus, we’ve scheduled a couple of extra course sessions for April: Use the month of April to introduce yourself to Python, or, for those with some Python familiarity, learn how to apply it to predictive analytics. April 10 – May 8: Introduction to Python Programming (for newcomersContinue reading “Mar 31: Statistics in Practice”
P-Values – Are They Needed?
The Depression Gene
Hazard
Mar 24: Statistics in Practice
In this week’s Brief, we look again at the statistics of Coronavirus. We also spotlight our Health Analytics Mastery – a 3-course series in which you can choose from among Biostatistics 1 and 2 Designing Valid Statistical Studies Epidemiologic Statistics * Introduction to Statistical Issues in Clinical Trials You can start July 1 with BiostatisticsContinue reading “Mar 24: Statistics in Practice”
Covid-19 Parameters
There are many moving parts in modeling the spread of an epidemic, a subject that has lately attracted the attention of great numbers of statistically-oriented non-epidemiologists (like me). I’ve put together a “lay statistician’s guide” to some of the important parameters and factors (and I welcome corrections/additions!). Terms Case fatality rate or CFR: Deaths asContinue reading “Covid-19 Parameters”
Preliminary Paper
Here is a preliminary paper that suggests that RNA extraction kits, one of the main bottlenecks to Covid-19 testing in the US, can be skipped altogether and the next part of the assay (RT-qPCR) still works. If confirmed, this result would have a major impact on how many tests state and hospital labs could runContinue reading “Preliminary Paper”
Mar 18: Statistics in Practice
In this week’s Brief, we look at the coronavirus, and the problem of estimating prevalence and mortality. Our course spotlight is Nov 8 – Dec 6: Epidemiologic Statistics (we’re adding a spring session – email us to be notified when registration opens at ourcourses@statistics.com) See you in class! – Peter Bruce Founder, Author, and SeniorContinue reading “Mar 18: Statistics in Practice”
Standardized Death Rate
Often the death rate for a disease is fully known only for a group where the disease has been well studied. For example, the 3711 passengers on the Diamond Princess cruise ship are, to date, the most fully studied coronavirus population. All passengers were tested and tracked by health authorities, and the death rate wasContinue reading “Standardized Death Rate”