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kkstatfun: R Statistical Analysis Toolkit for Medical Statistics and Epidemiology

Authors: Kostadinov, Kostadin;

kkstatfun: R Statistical Analysis Toolkit for Medical Statistics and Epidemiology

Abstract

A comprehensive R toolkit for medical statistics and epidemiology. Provides tidy, group-aware functions for measures of association, standardisation, diagnostic accuracy, agreement, survival and competing risks, causal inference, infectious-disease models, health-economic evaluation, time series, and Bulgarian EGN parsing. Every analysis function takes individual-level data as its first argument, honours dplyr::group_by(), and returns a tibble.

Related Organizations
Keywords

public health, R, biostatistics, tidyverse, infectious disease modelling, survival analysis, health economics, epidemiology, diagnostic accuracy, causal inference, medical statistics, competing risks

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average