পদ্ধতির তুলনা করুন

	শক্তিশালী পয়সন রিগ্রেশন	নেগেটিভ বাইনোমিয়াল রিগ্রেশন
ক্ষেত্র	পরিসংখ্যান	অর্থমিতি
পরিবার	Regression model	Regression model
উদ্ভবের বছর	2004	2011
প্রবর্তক	Guangyong Zou	Hilbe (textbook treatment); generalized linear model framework
ধরন	GLM with robust variance	Generalized linear model for count data
মৌলিক উৎস	Zou, G. (2004). A modified Poisson regression approach to prospective studies with binary data. American Journal of Epidemiology, 159(7), 702-706.	Hilbe, J. M. (2011). Negative Binomial Regression (2nd ed.). Cambridge University Press.
অপর নাম	modified Poisson regression, Poisson regression with robust standard errors, log-binomial alternative, sandwich-variance Poisson	NB regression, NB2 regression, negatif binom regresyonu
সম্পর্কিত	5	4
সারসংক্ষেপ	Robust Poisson regression fits a Poisson log-linear model to a binary outcome but replaces the model-based variance with the empirical sandwich estimator. This yields valid standard errors and risk ratios even though Poisson variance assumptions are technically violated for binary data. The approach, popularized by Zou (2004), is widely used in epidemiology as a numerically stable alternative to log-binomial regression.	Negative Binomial Regression is a generalized linear model for count outcomes that extends Poisson regression to handle overdispersion, where the variance of the counts exceeds their mean. Developed in the GLM tradition and treated in depth by Hilbe (2011), it adds a dispersion parameter so that inference stays valid when Poisson would understate the spread of the data.