Keling Wang

@Keling-Wang

PhD student in epidemiology and causal inference at Erasmus MC Rotterdam. Beagle person.

Rotterdam, The Netherlands

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Language Breakdown

Lines of code distribution across 6 owned repositories

109K Total LOC

48,061 lines

43.9%

N/A

Python

44,452 lines

40.6%

N/A

TeX

16,865 lines

15.4%

N/A

Pi-Shaped Developer

π-shaped

Two strong pillars: R & Python

Python

TeX

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Coding Streak

Contribution activity over the past year

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Cogito Ergo Sum

@standardgalactic

Hi1993Ryan

@Hi1993Ryan

Tomas Lasys

@tomaslasys

Capybaraaa0

@Capybaraaa0

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Paul Zivich

@pzivich

Stef van Buuren

@stefvanbuuren

Dimitris Rizopoulos

@drizopoulos

Eleni-Rosalina Andrinopoulou

@ERandrinopoulou

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Top Repositories

ErasmusMC-BeamerTheme

LaTeX Beamer presentation template with Erasmus MC themes and logo. Adapted from THU Beamer theme.

Using the parametric g-formula for risk prediction modeling

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gfoRmula_Keling

The gfoRmula package implements the parametric g-formula in R. The parametric g-formula (Robins, 1986) uses longitudinal data with time-varying treatments and confounders to estimate the risk or mean of an outcome under hypothetical treatment strategies specified by the user.

A minimalist blog theme for hugo.

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HTML

Keling-Wang

Config files for my GitHub profile.

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Deep-learning-books