Can -values be meaningfully interpreted without random sampling?
Besides the inferential errors that abound in the interpretation of p-values, the probabilistic
pre-conditions (ie random sampling or equivalent) for using them at all are not often met by …
pre-conditions (ie random sampling or equivalent) for using them at all are not often met by …
Projecting the price of lithium-ion NMC battery packs using a multifactor learning curve model
Renewable energy (RE) utilization is expected to increase in the coming years due to its
decreasing costs and the mounting socio-political pressure to decarbonize the world's …
decreasing costs and the mounting socio-political pressure to decarbonize the world's …
Permutation tests are robust and powerful at 0.5% and 5% significance levels
Recent replication crisis has led to a number of ad hoc suggestions to decrease the chance
of making false positive findings. Among them, Johnson (Proceedings of the National …
of making false positive findings. Among them, Johnson (Proceedings of the National …
Inference using non-random samples? Stop right there!
Statistical inference allows researchers to learn things about a population using only a
sample of data from that population. But if it isn't a random sample, inference becomes tricky …
sample of data from that population. But if it isn't a random sample, inference becomes tricky …
Twenty Steps Towards an Adequate Inferential Interpretation of p-Values in Econometrics
We suggest twenty immediately actionable steps to reduce widespread inferential errors
related to “statistical significance testing.” Our propositions refer to the theoretical …
related to “statistical significance testing.” Our propositions refer to the theoretical …
[图书][B] Fundamentals of statistical inference
In modern life, data-based scientific propositions about the world are both omnipresent and
extremely important for sound decision-making in organizations and society as a whole …
extremely important for sound decision-making in organizations and society as a whole …
The aftermath of COVID-19 impacts: examining the impact of COVID-19 on residents' current food waste behavior
The food waste (FW) campaign has always been a great concern for nations before COVID-
19. The menace has been a world problem and studies into the area to curb it is imperative …
19. The menace has been a world problem and studies into the area to curb it is imperative …
Beyond p-value-obsession: when are statistical hypothesis tests required and appropriate?
A Margarian - German Journal of Agricultural Economics, 2022 - ageconsearch.umn.edu
Complementing more specific “p-value discussions”, this paper presents fundamental
arguments for when null hypothesis statistical significance tests (NHST) are required and …
arguments for when null hypothesis statistical significance tests (NHST) are required and …
Opioid utilization after orthopaedic trauma hospitalization among Medicaid-insured adults
NA Giordano, G Zhao, M Kalicheti… - Frontiers in Public …, 2024 - frontiersin.org
Opioids are vital to pain management and sedation after trauma-related hospitalization.
However, there are many confounding clinical, social, and environmental factors that …
However, there are many confounding clinical, social, and environmental factors that …
The replicability crisis and the p-value debate–what are the consequences for the agricultural and food economics community?
A vivid debate is ongoing in the scientific community about statistical malpractice and the
related publication bias. No general consensus exists on the consequences and this is …
related publication bias. No general consensus exists on the consequences and this is …