. Author manuscript; available in PMC: 2018 May 1.

Published in final edited form as: Epilepsia. 2017 Mar 30;58(5):835–844. doi: 10.1111/epi.13727

Table 1.

Literature search for models currently used to model seizure frequency data. The column “Model” does not include pharmacokinetic models developed in the paper. One number of patients is listed per model developed. PS: Poisson. NB: Negative binomial. PCB: Placebo

First Author, Year (Reference)	Model	Separates children and adults?	Number of patients	Minimum Age in years (mean if reported)
Ahn, 2012 ⁽¹⁾	NB with nonlinear covariate based on number of seizures on previous day	No	1053	12 (mean 38.2)
Albert, 1991 ⁽¹³⁾	PS with two-state Markov adjustment	No	13	21
Albert, 2000 ⁽²⁰⁾	PS with dropout and treatment/pcb term	No	40	14
Alosh, 2009 ⁽²¹⁾	PS with Bernoulli thinning	No	59	18
Balish, 1991 ⁽¹⁴⁾	Quasi-likelihood regression	No	13	21
Delattre, 2012 ⁽²²⁾	Hidden mixed Markov	No	788	None reported (mean 33)
Deng, 2016 ⁽²³⁾	Dynamic Inter-Occasion Variability	No	551	8 (mean 33)
Hougaard, 1997 ⁽¹¹⁾	Generalized Poisson mixture	No	59	18
Molenberghs, 2007 ⁽¹⁷⁾	NB with treatment/pcb term	No	89	18
Nielsen, 2015 ⁽²⁾	NB with nonlinear covariate based on number of seizures on previous day	Yes	265 children 356 adults	3 18
Thall, 1990 ⁽²⁴⁾	Quasi-likelihood regression	No	59	18
Troconiz, 2009 ⁽¹⁸⁾	NB with two-state Markov adjustment	No	551	8 (mean 33)