Bias in regression analysis

Background Epidemiologists are generally interested in the effect of an exposure on an outcome. This so-called exposure effect is often estimated using regression analysis, in which the outcome is regressed on the exposure. The distribution of the ou

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______4612::387459600bd7eaaf93a3f4a8f1d75c89
https://research.vu.nl/en/publications/e99917e0-29de-4992-9575-aebe15ae87c7

Bias in regression analysis:Problems and solutions

Autor: Schuster, Noah Alexandra

Publikováno v: Schuster, N A 2022, ' Bias in regression analysis : Problems and solutions ', PhD, Vrije Universiteit Amsterdam .
Schuster, N A 2022, ' Bias in regression analysis : Problems and solutions ', Doctor of Philosophy . < https://hdl.handle.net/1871.1/e99917e0-29de-4992-9575-aebe15ae87c7 >

Background Epidemiologists are generally interested in the effect of an exposure on an outcome. This so-called exposure effect is often estimated using regression analysis, in which the outcome is regressed on the exposure. The distribution of the ou

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::053e5f4d85cb5250fd393157e974aab9
https://hdl.handle.net/1871.1/e99917e0-29de-4992-9575-aebe15ae87c7

Een inleiding voor opzet en statistische analyse van onderzoeksgegevens

This report consists of papers read for RIVM-research workers on the application of statistical tools in day-to day research. The aim is to encourage the researchers in the use of simple statistical tools to improve on their research with less effort

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Kalibratie van Ellenbergs milieu-indicatiegetallen aan werkelijk gemeten bodemfactoren

Momenteel wordt een multiple stress model ontwikkeld waarmee op nationale schaal de kans op voorkomen van plantesoorten wordt voorspeld als gevolg van verdroging, verzuring en vermesting (SMART-MOVE). Het model bestaat uit een bodemmodule (SMART) en

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