Improved SAS codes for life table analysis of arthropod populations.
2014
MAIA, A. de H. N. | LUIZ, A. J. B. | PERVEZ, A. | ALINE DE HOLANDA NUNES MAIA, CNPMA; ALFREDO JOSE BARRETO LUIZ, CNPMA; AHMAD PERVEZ, Govt. Degree College,Talwari - Tharali, Chamoli (Uttaranchal), India.
Abstract: Fertility life table (FLT) analysis of arthropod populations can capture chronicle sub lethal effects not detected by acute survival assays (MARINHO-PRADO, 2011; NASCIMENTO et al., 1998; NARDO et al (2001) LIU et al, 2005; LUMBIERRES et al, 2004). Inference on FLT parameters requires the use of computational methods to estimate the variance of demographic summary measures derived from information of survival and fertility of the arthropod populations under study. Jackknife-based software available for life table analysis (HULTING et al, 1990 ; MAIA et al, 2000) were developed for analyzing qualitative treatments, but such approach is frequently misused for contrasting levels of quantitative factors (GANJISAFFAR et al., 2011; PAKYARI et al., 2011; RAZMJOU et al. 2011). We present herein an extension of SAS codes already available for analysis of qualitative treatments (lifetable.sas, MAIA et al, 2000) now including methods for analysis of quantitative factors via jackknife-based regression analysis.
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