This parasitology software provides statistically correct ways to
analyse the highly aggregated (right-skewed) frequency distributions
exhibited by parasites. QP3.0 is recommended to describe parasitic
infections within a sample of hosts and to compare parasitic infections
across different samples of hosts.
Some of the methods listed above have been described or discussed in
Reiczigel J 2003. Confidence intervals for the binomial parameter: some
new considerations. Statistics in Medicine,22, 611-621.
Reiczigel J, Lang Z, Rózsa L, Tóthmérész B 2005. Properties of crowding
indices and statistical tools to analyze crowding data. Journal of
Reiczigel J, Zakariás I, Rózsa L 2005. A bootstrap test of stochastic
equality of two populations. The American Statistician,59,
Reiczigel J, Abonyi-Tóth Z, Singer J 2008. An exact confidence set for
two binomial proportions and exact unconditional confidence intervals
for the difference and ratio of proportions. Computational Statistics
and Data Analysis,52, 5046-53.
There was a mistake slightly affecting the confidence intervals for mean
intensity and mean abundance in a former version of Quantitative
Parasitology. QP2.0 downloaded after 02. 04. 2003. and all copies of QP
3.0 are free of this error.
Mail to reiczigel.jeno (at) gmail.com regarding biostatistics and
computation; or mail to lajos.rozsa (at) gmail.com regarding
epidemiology or biology.
Hungarian Academy of Sciences, Hungarian National Scientific Research
Found (OTKA T 049157), Szent István University (NKB 2001-KUT-5-018)
The papers listed above has been published at different peer-reviewed
journals. Copyright and all rights therein are retained by the
respective publishers. This material may not be copied or reposted
without explicit permission. Use for scholarly and educational purposes