Kenneth L. Campbell

TL;DR: In this paper, a statistical method to correct for non-parallelism in an E1G enzyme immunoassay (EIA) was developed for serially diluted urine specimens with a calibration curve.

TL;DR: A statistical method based on linear mixed effects modeling is an expedient approach for correction of non‐parallelism, particularly for hormone data that will be analyzed in aggregate.

TL;DR: The high rate of loss among the settled women along with the difference between the nomadic and settled samples supports the contentions that there may be substantial variation among populations in intrauterine mortality and that the contribution of fetal loss to fertility differences among populations may be more important than has been suspected.

TL;DR: The papers presented here are grouped under nine main headings which are the seasonality of human reproduction nutrition and human reproduction biobehavioral interactions on human reproduction reproductive epidemiology public health implications of human reproductive ecology studies data analyses and research design issues in sample collections and laboratory analyses case studies of environmental alterations of reproduction and population growth and population regulation.

TL;DR: Some of the key features of biomarkers needed for epidemiological studies are described, some existing and potential biomarkers and available measurement devices are identified, and some directions for identification and development of new biomarkers that might be employed in longitudinal studies involving the analysis of female reproductive function and of embryonic development are suggested.