Comment “On the role of data,statistics and decisions in a pandemic” by Jahn et al.

AStA Advances in Statistical Analysis - We comment the paper by Jahn et al. (On the role of data, statistics and decisions in a pandemic, 2022).     

Determining the importance of an independent variable: A path analytic solution

Various methods have been proposed for evaluating the importance of an independent variable in determining a given dependent variable. This paper suggests that the analysis of direct and indirect effects in a recursive causal model can provide a more satisfactory evaluation than the ordinary correlation and regression techniques commonly used. The interpretation of an independent variable's impact derived from a path model is generally more adequate because it is able to take into account the operation of indirect effects and spuriousness. To demonstrate this contention, data gathered by the author to explain organizational innovation are presented.     

Abortion Underreporting in Add Health: Findings and Implications

Population Research and Policy Review - Well-documented, large-scale abortion underreporting on U.S. surveys raises questions about the use of abortion self-reports for statistical inference. This...     

The Women’s Empowerment in Livestock Index

Social Indicators Research - The empowerment of women in the livestock sector is fundamental to achieve gender equality. It also is instrumental for increased household productivity and improved...     

The Ecology of Suicide in an Australian Metropolis: The Case of Sydney

The ecological patterns of suicide in metropolitan Sydney are described and policy recommendations made. Some inferences about the association of urbanization with suicide are suggested.