Teaching

Courses taught by Daniel Nevo at Tel Aviv University.
Teaching

My teaching spans causal inference, biostatistics, statistical models, generalized linear models, and research seminars.

Tel Aviv University

Causal Inference

Graduate level · 2019, 2021, 2022, 2024, 2026

Independently redrawn country-level scatterplot of annual chocolate consumption and Nobel laureates, with national flags marking 23 observations and a fitted trend line; the figure reports Pearson r = 0.791 and p < 0.0001.
Chocolate consumption and Nobel laureates. Independently redrawn from reconstructed values based on F. H. Messerli, NEJM (2012); flag artwork from flag-icons (MIT).

Statistical Models B

2021, 2022, 2023, 2024

Observed bicycle counts on the Williamsburg Bridge plotted against temperature, with two different fitted model curves.
Modelling bicycle traffic and temperature. From the course figures.

Seminars in Statistics

MSc Seminar · 2021, 2022; BSc Seminar · 2024

Introductory seminar slide asking why the Literary Digest poll failed to predict the winner of the 1936 US presidential election.
What went wrong with the poll? From the BSc Seminar’s introductory lecture.

Generalized Linear Models

Graduate level · 2023

Logit, probit, and complementary log-log curves mapping the linear predictor to the probability of a binary outcome.
Three link functions for binary outcomes. From the course figures.

Biostatistical Methods

2020

Lecture slide using seven fictional characters' potential outcomes to calculate an average treatment effect of two sevenths.
A worked example of the average treatment effect. From the first causal-inference lecture.

Advanced Biostatistical Methods

2018, 2019

Two survival curves illustrating how a 30 percent reduction in the hazard changes survival over time.
From hazards to survival curves. Course slides based on lectures by David Steinberg.
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