Reblog – Interpreting STATA models for log-transformed outcomes

The natural log transformation is often used to model nonnegative, skewed dependent variables such as wages or cholesterol. We simply transform the dependent variable and fit linear regression models like this: Unfortunately, the predictions from our model are on a log scale, and most of us have trouble thinking in terms of log wages or …

Notes on GIS Platforms

Mapping flow data: http://commute.datashine.org.uk/#mode=metro&direction=from&msoa=E02000916&zoom=12&lon=-0.1500&lat=51.5200 ArcGIS JavaScript: https://developers.arcgis.com/javascript/latest/showcase/hurricane-explorer/ Web interface for showing a large amount of data: http://datashine.org.uk/#table=QS701EW&col=QS701EW0011&ramp=YlOrRd&layers=BTTT&zoom=12.003472222487133&lon=-0.1501&lat=51.5201 https://maps.cdrc.ac.uk/#/metrics/traveltowork/default/BTTTFFT/12.888888998031614/0.1292/52.2016/ Cobalt Map: https://thinkgeo.com/demo-center#cloud-services Online model interface: http://quant.casa.ucl.ac.uk/