The Analytic Angle

Dr. Philip Kreniske: ART use among adolescent in Africa

Dr. Phi Kreniske is Assistant Professor at Columbia University and CUNY. Phill also works in the HIV Center for Clinical and Behavioral Studies at the New York State Psyc

Dr. Justin Knox: Academia and research interests

In this episode, we talked to dr. Justin Knox, Associate Professor of Clinical Implementation Science and Intervention (in Psychiatry and Sociomedical Sciences) about his

Dr. Justin Knox: Smartphones and apps in research

In this episode, we talked to dr. Justin Knox, Associate Professor of Clinical Implementation Science and Intervention (in Psychiatry and Sociomedical Sciences) about uti

What is wrong with election polls and why?

In this episode, we discuss election polls. The technology of how they are created, the aggregation of election polls, and of course, their trustworthiness. How about y

How does publication bias effect modern research?

In this episode, we discuss publication bias and its effect on meta-analyses.

Is communication technology helpful?

In this episode, we discuss different types of communication technology and their effects on our lives.

What are p-values for?

In this episode we discuss the meaning and the interpretation of p-values, their use and their misuse in research.

Absence of evidence is not evidence of absence

In this episode, we discuss what it means and the practical consequences of not rejecting the null hypothesis in clinical trials.

Complicated relationships among 3 variables

In this episode, we explore the intricate relationships among three variables, delving into concepts like mediation, moderation, and confounding.

What are Target Trial Emulation?

In this episode, Cale and I are discussing what are target trial emulations and how they differ from classical clinical trials. For more information, you can read a gre

What is p-hacking and is it bad?

In this episode we discuss p-hacking as a statistical technique, its advantages and mainly disadvantages and how to avoid it.

Are pie charts relevant?

In this episode, we discuss what we think about pie charts and whether they should be used for reporting data or for portraying statistical results.

Novel advances in clinical trials: ASCP keynote lecture

In this episode, we share Martina's keynote lecture on novel advances in clinical trials, which she gave at the annual meeting for the American Society of Clinical Psycho

What AI tools have we used?

In this episode, we discuss how we have successfully used artificial intelligence tools in our writing and coding work.

Do we all read papers the same way?

In this episode, we talk about our different approaches to reading published scientific papers.

Has data quality improved over time?

In this episode we chat about how storing and managing research data has changed in the last three decades, discussing what has improved and what has stayed the same over

Grant writing pet peeves

In this episode, we discuss common issues we encounter when we help with grant applications, especially the pet peeves that really bother us.

Favorite science movies

In this episode, we discuss our favorite movies that depict scientific research, statistics, or data analysis.

How is data science different than statistics?

Data science encompasses many different tools and statistical techniques. In this episode, we discuss data science and the differences between machine learning and tradit

How many "questionnaires" are too many?

In this episode, we discuss how many measures to include when designing a study from our perspectives as data scientists -- how many questionnaires are too many?