In CIDA-CSPH/CIDAtools: This package contains tools for CIDA projects

knitr::opts_chunk$set(echo = FALSE)
pacman::p_load(CIDAtools, gtsummary, flextable, tidyverse, gtsummary, officedown, kableExtra)

Project title:
Submitted to: Client names, department, school or organization
Report prepared by: Biostatistician’s names, CIDA information^1^
Date:
Updates: summary of changes/updates since last report

Introduction

This should be an condensed version of the introduction from the exploratory report

• High-level overview of study design (approximately one sentence)
• Reiterate primary, secondary, exploratory, etc. outcomes
• Summary of the important results

Method

Study design

• Study population
• Type of design of the experiment/study/survey (e.g. factorial, cohort, case-control, cross-sectional, longitudinal, stratified, clustered)
• Interventions by treatment level and administration route (if applicable)
• Power calculation, sample size justification, etc.

Data

• Data sources
• Methodology used to collect data
• Date/period of data collection
• Data quality –elements of data collection and pre-processing that could influence data quality
• Data collection quality assurance - actions put in place in order to minimize bias and maximize precision at level of data collection should be described
• Data quality checking methods (looking for outliers, illogical results, etc.)
• If missing data were imputed, then methods used and actions taken to ensure that bias was not introduced and that variance was not compromised should be described
• Description of methods which have been adopted to minimize the amount of missing data

Statistical methods

• Exploratory methods/exploratory analysis summary
• Approaches used (graphical, hypothesis-based (e.g., Shapiro-Wilk), expert opinions)
• Data transformation and manipulation
• The statistical methods used to analyze the outcomes listed in the review of project
• Could write it generally (i.e., not in reference to specific outcomes)
• List any variables you are adjusting for in your models
• Describe any variable selection methods that might be used
• Modeling assumptions
• Table 1 sometimes has p-values, but could use various methods (parametric vs. nonparametric, continuous vs. categorical, etc.) and these could be specified here
• Software used for analyses

Results

(write in paragraph form so that they can cut and paste into their manuscript, poster, etc.)

• Table 1 and primary results
• Any other relevant tables or results
• Graphical summaries
• Interpretation of the results

Discussions

• Further interpretation of the results, perhaps based on discussions with the collaborators/investigators on a project
• Limitations (i.e., sample size too small, not meeting model assumptions or other caveats to keep in mind)
• Possible next steps with future analysis

References

Only include relevant sources that are to be cited in their paper.

Appendix

Information for the investigator to be able to reference for their own understanding. This might include extra figures, graphics, or tables, especially if there are copious amounts of output/results. If it ends up going in the paper, it should probably be moved to the sections above.

^1^ Please contact CIDA if you have any questions regarding authorship or how to cite the CCTSI grant in your work.

CIDA-CSPH/CIDAtools documentation built on Sept. 18, 2023, 10:55 a.m.