https://github.com/avallecam/hemogr

Analysis code for the manuscript "Hematological profiles in patients infected with malaria in an endemic area of ​​Peru"
https://github.com/avallecam/hemogr

gee longitudinal-data malaria r

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Analysis code for the manuscript "Hematological profiles in patients infected with malaria in an endemic area of ​​Peru"

• Host: GitHub
• URL: https://github.com/avallecam/hemogr
• Owner: avallecam
• Created: 2020-02-05T02:16:33.000Z (almost 5 years ago)
• Default Branch: master
• Last Pushed: 2022-10-12T20:33:03.000Z (about 2 years ago)
• Last Synced: 2023-03-11T10:23:30.036Z (over 1 year ago)
• Topics: gee, longitudinal-data, malaria, r
• Language: R
• Homepage:
• Size: 83 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        

# haematological profile of malaria patients

[![DOI](https://zenodo.org/badge/238349977.svg)](https://zenodo.org/badge/latestdoi/238349977)

## project structure

- `hemo_db.R` -> import and cleaning

- `hemo_bygroup.R` -> cross-sectional analysis using baseline data

- `hemo_byvisit.R` -> longitudinal analysis using folow-ups!

## método: analisis longitudinal

1. definir variable dependiente

  * Var. dependiente = cada una de las mediciones hematológicas

  * Y: gaussian distribution identity link function

2. definir variables independientes

  

  * Var. independiente [time-invariant] = infeccion (especie de plasmodium, dicotomica)

  * Var. independiente [confusores] = edad (continua), sexo (dicotómica)

3. objetivo:

  

  * test if, in average, the change of Y in time is related with a time-invariant exposure

  * this translates as including an interaction term between Y and the time-invariant exposure (Vittinghoff, 2nd edition, p271)

4. correlation structure

  * the repeated measurements were taken through time

  * only three time measurements per pacient were included

  * the measurement interval times are not equally spaced

  * autoregressive process 1 (ar1) because the correlation between times differ

5. clustered data

  * each pacient had 3 visits each with one measurement for all the haematological variables

  * dataset is in a long (tidy) format

--------

## historial

__20180103__

- recepción de las bases

- estructura:

  - Controles (n=308) del año 2010

  - Pf positivos (n=34) años 2011 y 2012

  - Pv positivos (n=93) año 2011

__20181201__

- importar y limpiar base de datos

__20190506__

- union de base de datos y ejecución de análisis descriptivos

__20200204__

- corrección por autocorrelación debido a mediciones repetidas

----------

## citar

```

@software{andree_valle_campos_2020_4014205,

  author       = {Andree Valle Campos},

  title        = {avallecam/hemogr: First release},

  month        = sep,

  year         = 2020,

  publisher    = {Zenodo},

  version      = {v0.1},

  doi          = {10.5281/zenodo.4014205},

  url          = {https://doi.org/10.5281/zenodo.4014205}

}

```