Vinayak-NZ

phd_study_01_descriptives

Code for presenting descriptive statistics of case studies into development of digital health interventions

phd_study_03_descriptives

Code for presenting descriptive statistics of workshops to design a digital health intervention

phd_study_05_models

Code for comparing models predicting effectiveness of digital health intervention

phd_study_02_imputation

Code for comparing missing data strategies of digital health intervention

phd_study_04_engagement

Code for processing and analysing engagement metrics of digital health intervention

phd_literature_search

Code for collating literature across databases

phd_study_04_sentiment

Code for comparing sentiment of two versions of digital health intervention

dht_nlp

Natural Language Processing of digital health tool

web_app_mechanism

Evaluating behaviour change mechanism for web-app

poster_isbnpa_2023

co_creation_database_search

Functions for searching through co-creation literature

hc_demo

A demo of R to Health CASCADE

health_cascade_2022_AMS

Supplement to the 2022 Poster Presentation

transcription_test

PhD_presentation

A medium for relaying updates and resources from the PhD project

CANCEIS_prez

betweenSM

presentation at SM seminar on life between SM

Research_OS

Research in Official Statistics

RSS_2019

Learning to Impute

Reimagine

FC_InferentialStatistics

ML-Imputation

Investigating the use of Machine Learning methods on Imputation

EditingImputationTeach

Teaching material for editing and imputation

CommuniMe

An app for helping people find communities that meet their needs