statistical.solutions

Datascience experts & statisticians solving complex business problems #machinelearning #training #optimisation #predictiveanalytics #DOE & #coaching

[statistical.solutions @statisticalsol1]

https://t.co/doCsBQ0q8p

[statistical.solutions @statisticalsol1]

. #statistics #datascience #datasciencetraining #training #engineers #minitab #R #designofexperiments #statisticalmodels

[Natalie Rodrigue @natalierodrigu]

https://t.co/VzFSwlKWw5

For more than 3 decades we developed series of applied training in statistics for engineers with application in Minitab or R. Our experienced & knowledgeable instructors guide you in the selection of case studies and develop a tailored curriculum for you.

[statistical.solutions @statisticalsol1]

#datascience #design #correctanalysis

[Natalie Rodrigue @natalierodrigu]

https://t.co/58SphnmrEM

In over 30 years experience, I noticed that when non-statisticians analyse data, they sometimes fail to take into account the structure used to collect the data. This can lead to incorrect inference and decision making.

The following illustrates that.

[statistical.solutions @statisticalsol1]

#statistics #timetoevent #censoring #survivalanalysis #reliability #runouts

[Natalie Rodrigue @natalierodrigu]

#statistics #timetoevent #censoring #survivalanalysis #reliability #runouts https://t.co/Rd1Q2cAS8U

[statistical.solutions @statisticalsol1]

Healthcare KOL network visualisation developed by expert statisticians & datascientists at creascience Inc. #machinelearning #datascience #shiny #r

[Natalie Rodrigue @natalierodrigu]

Healthcare KOL network visualisation #machinelearning #datascience #shiny #r https://t.co/VUtsMjmPXu

[statistical.solutions @statisticalsol1]

#modelling #statistics #datascience #effects #multicollinearity #machinelearning #regressionanalysis

[Natalie Rodrigue @natalierodrigu]

This summary table illustrates the problems caused by multicollinearity in statistical models. I hope that you find it useful.
#modelling #statistics #datascience #effects #multicollinearity #machinelearning #regressionanalysis

[statistical.solutions @statisticalsol1]

#debunking #jargon #statistics #machinelearning #modelling

[Natalie Rodrigue @natalierodrigu]

Depending on the context & field of application several terms are used to refer to Y and X's in statistical modelling. One of the major difficulties in statistics is debunking the jargon. I hope that you find this summary useful.
#terminology #statistics #ml #datascience

[statistical.solutions @statisticalsol1]

#data #ml #machinelearning #datascience

[crea.science @crea_science]

Machine learning (ML) is used to detect patterns in data that are not a consequence of chance, i.e. they can be reproduced, and can be used to build predictive models whose accuracy can be clearly established. We are ML experts. #data #ml #machinelearning #datascience

[statistical.solutions @statisticalsol1]

#interaction #statistics #datascience #modelling #statisticalmodels #commonissues #power #generalisability #factors #ANCOVA

[Natalie Rodrigue @natalierodrigu]

#interaction #statistics #datascience #modelling #statisticalmodels #commonissues #power #generalisability #factors #ANCOVA https://t.co/tMopAp55Xi

[Natalie Rodrigue @natalierodrigu]

#training #understanding #debunking #biostatistics #tailored #msls #medicalwriters #medical #science #healthcare https://t.co/3YjrxfaUb8

[Natalie Rodrigue @natalierodrigu]

https://t.co/T7QnFXpjUc
#statisticalmodels #statistics #datascience #importanceofmodels #treatmenteffect #uncertainty #goodnessoffit #generalisability #factors #interactions #covariates #confounders

[Natalie Rodrigue @natalierodrigu]

#interaction #statistics #datascience #modelling #statisticalmodels #commonissues #power #generalisability #factors #ANCOVA https://t.co/tMopAp55Xi

[Natalie Rodrigue @natalierodrigu]

#data #datascience #models #statistics #treatmenteffect #uncertainty #generalisability #goodpractices #glm #generalisedlinearmodels #generallinearmodels #timetoevent

[Natalie Rodrigue @natalierodrigu]

"Back and Forth into Unknown. Aller-retour vers l'inconnu." by @Natalie Rodrigue #500px https://t.co/HhvyYjpIuP #photography #monochrome #500px #abstract #geometry

[Natalie Rodrigue @natalierodrigu]

"Verticalité" by @Natalie Rodrigue #500px https://t.co/2eftrtoFK4

#photography #Abstract #HongKong #shape #lines #geometry #architecture

[Natalie Rodrigue @natalierodrigu]

Increasing sample size is not the only way to increase the chances of detecting meaningful effects. Experimental designs help achieve this efficiently! Debunk and discuss all this using your case studies.

#online #datascience #statistics #power #design

https://t.co/DMGUjAG9c9

[statistical.solutions @statisticalsol1]

“Are You Getting Your Money’s Worth from Your Data Vendor?” by Natalie Rodrigue
https://t.co/JCoZdpPdqG #data #datascience #datavalue #MachineLearning

[statistical.solutions @statisticalsol1]

#MachineLearning #DataScience

[Natalie Rodrigue @natalierodrigu]

I just published Build Data from your Knowledge. Data Engineering of CRM Data https://t.co/FIpdQkIpZa #dataengineering #machinelearning #crm #extract #data #from #knowledge #medical #marketing #datascience

[statistical.solutions @statisticalsol1]

Brilliant #dataengineering #MachineLearning #DataScience

[Natalie Rodrigue @natalierodrigu]

“The In-House Intelligence Building Tree” by Natalie Rodrigue
https://t.co/lJtjindt6A #dataengineering #Machine #datapreparation #textmining #multivariate

[statistical.solutions @statisticalsol1]

“Debunking Data Engineering – Machine Learning with a Human Touch.” by Natalie Rodrigue
https://t.co/RcNaMzQtAc #machinelearning #DataScience #dataengineering

[statistical.solutions @statisticalsol1]

Issue with AI-driven camera. The importance of assessing model performance in various situations (validation set) #ai #MachineLearning #pitfall #validation #crossvalidation #DataScience https://t.co/TMOBGE1PXX