Recently, I have been reading and taking some courses on the concept of tidy data. My discoveries motivated me to write this article about tidy data because data must be in the proper format (tidy) before analysis can be done.

In this series of articles, I will share some thoughts…

In the previous article in this tidy data series, I introduced the concept of tidy data and highlighted the principles of tidy data. If you have not read the last article, you can read it here.

Before we dive right into these case studies, let me refresh your knowledge about…

This week I read a paper titled: “Patient satisfaction with epilepsy surgery: what is important to patients?” by Meaghan Lunney et al. (2018).

This work identified factors that are relevant to patient satisfaction with therapeutic epilepsy surgery (which is a specific treatment), and not the overall process of their care…

Source: https://www.123rf.com/photo_99216070_writing-note-showing-review-time-business-photo-showcasing-evaluating-survey-reviewing-analysis-chec.html

This week I read the paper titled: “Impact of missing data on bias and precision when estimating change in patient-reported outcomes from a clinical registry” by Ayilara, O et al. (2019).

The main objective of the study was to compare the impact of several missing data methods on the precision…

This week I read the paper titled: “Mobile Artificial Intelligence Technology for Detecting Macula Edema and Subretinal Fluid on OCT Scans: Initial Results from the DATUM alpha Study” by Stephen G. Odaibo, M.D., M.S.(Math), M.S.(Comp. Sci.) et al., (2019).

The main objective of the study was to evaluate the feasibility…

This week I read the paper titled: “Using Clinicians’ Search Query Data to Monitor Influenza Epidemics” by Mauricio, S. & Elaine, O. N et al. (2014).

Introduction

According to researches, search activity on diseases such as influenza and dengue have been shown to correlate with traditional surveillance data in many instances…

Source: https://www.pageuppeople.com.sg/resource/hr-its-time-for-your-performance-review/

This week I read the paper titled: “Use of Deep Learning to Examine the Association of the Built Environment With Prevalence of Neighborhood Adult Obesity” by Adyasha M. & Elaine O. N (2018).

It is evident that obesity have been linked with several factors such as genetics, diet, physical activity…

Source: https://www.shapeyourculture.org.uk/portfolio/reading-an-article/

This week I took a different turn in the paper I read. Due to my PhD aspirations in Biostatistics, I decided to start reading papers related to Public Health and Data Science.

This week I read the paper titled: “Association of Depression and Treated Depression With Epilepsy and Seizure Outcomes…

Arimoro Olayinka

Guided Project Instructor at Coursera Inc.

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