Code

Original code

Semi-automated processor for three point bending data

Three point bending is a common test to assess bone strength in mice and other animals. To my knowledge, no automated method is widely available to process data from these tests. To address this gap and facilitate more rapid and standardized testing, I developed this code based on Jepsen et al., 2015.

https://github.com/DovinKiernan/ThreePointBending_Processor

Vertical ground reaction force estimation from accelerometer data

Here's a description

https://github.com/DovinKiernan/MTFBWY_running_vGRF_from_a

Automatic identification of gait events from accelerometer data

Here's a description

https://github.com/DovinKiernan/REID_IMU_Running_Event_ID

Code I find helpful

Statistical Parametric Mapping

Pataky T

2024

SPM allows continuous analysis of the shape of smooth scalar series within regular discrete bounds based on the height and width of connected data points in the series. The output is a statistic ‘field’ (e.g. the t-statistic as a function of time) that identifies regions that differ significantly across experimental factors. This approach mitigates the errors introduced by running multiple comparisons (e.g., individually testing each time point) and the biases introduced by selecting single points or regions of continuous series for analysis (either a priori or post-hoc based on qualitative observations).

https://github.com/0todd0000/spm1dmatlab

Analysis of agreement in method comparison studies

Carstensen B, Gurrin L, Ekstrom CT, & Figurski M

2024

Methods (standard and advanced) for analysis of agreement between measurement methods. These cover Bland-Altman plots, Deming regression, Lin's Total deviation index, and difference-on-average regression.

https://cran.r-project.org/web/packages/MethComp/index.html