# Doubt regarding az.plot\_ppc(trace)

**URL:** <https://discourse.pymc.io/t/doubt-regarding-az-plot-ppc-trace/16474>\
**Category:** v5\
**Created:** [February 3, 2025, 5:46am UTC](https://discourse.pymc.io/t/doubt-regarding-az-plot-ppc-trace/16474 "2025-02-03T05:46:27Z")\
**Posts on this page:** 1\
**Showing post:** 5

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**Author:** ![Nij\_PADARIYA](https://yyz2.discourse-cdn.com/flex036/user_avatar/discourse.pymc.io/nij_padariya/32/8296_2.png) [@Nij\_PADARIYA](https://discourse.pymc.io/u/Nij_PADARIYA)\
**Post date:** [February 5, 2025, 8:53am UTC](https://discourse.pymc.io/t/doubt-regarding-az-plot-ppc-trace/16474/5 "2025-02-05T08:53:00Z")

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> [@Bayesian Modeling of Disease Case Counts: Validity of Priors and Predictors](https://discourse.pymc.io/t/bayesian-modeling-of-disease-case-counts-validity-of-priors-and-predictors/16465):
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> Question: We are working on a project analyzing disease case counts across different regions in an Indian state. The administrative hierarchy follows a state → district → block structure. Our goal is to identify key predictors influencing disease case counts (target variable) for a given month and year, accounting for the temporal variation in disease spread. To model this, we assume: The intercept should never be negative since, even with zero-valued predictors, disease cases cannot be belo…

Can you check now this based on my data and model?

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